R Under development (unstable) (2024-05-02 r86512 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(ddecompose) Loading required package: ggplot2 > > test_check("ddecompose") Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Bootstrapping standard errors... The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Bootstrapping standard errors... Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables 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proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & 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variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Bootstrapping standard errors... Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are 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(2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables 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proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Bootstrapping standard errors... Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Bootstrapping standard errors... The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Bootstrapping standard errors... Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'no'. Aggregate decomposition: Observed difference Composition effect Total difference 0.2333003 0.1973799 Structure effect Specification error Total difference 0.03592044 NA Reweighting error Total difference NA Detailed decomposition: Observed difference Composition effect (Intercept) 0.126149819 0.000000e+00 age -0.125897513 7.884197e-03 central_cityyes 0.004356765 -1.045874e-03 msayes 0.033216297 7.355013e-04 regionNorth-central 0.012442142 -2.494644e-04 regionSouth 0.019013607 3.125208e-03 regionWest 0.007054930 4.701970e-04 blackyes -0.020991875 8.492448e-04 hispanicyes -0.015138068 -2.286508e-04 education<10 yrs 0.001395889 -5.911438e-04 educationHS grad (diploma) -0.002904367 -3.797400e-04 educationHS grad (GED) 0.002361284 3.249652e-04 educationSome college 0.007511933 -1.233123e-02 educationBA or equiv. degree 0.016075839 8.331002e-04 educationMA or equiv. degree 0.002308340 -7.362880e-03 educationPh.D or prof. degree 0.007806320 7.126292e-03 afqt 0.013286422 1.080958e-02 family_responsibility 0.035391033 3.280198e-02 years_worked_civilian 0.183501007 6.075300e-02 years_worked_military 0.011295843 1.241245e-02 part_time -0.010494312 6.400221e-02 industryManufacturing -0.008689109 3.975730e-03 industryEducation, Health, Public Admin. -0.030947494 1.337796e-02 industryOther services -0.034804444 8.720218e-05 Structure effect Specification error (Intercept) 0.126149819 NA age -0.133781710 NA central_cityyes 0.005402639 NA msayes 0.032480796 NA regionNorth-central 0.012691606 NA regionSouth 0.015888399 NA regionWest 0.006584733 NA blackyes -0.021841120 NA hispanicyes -0.014909417 NA education<10 yrs 0.001987033 NA educationHS grad (diploma) -0.002524627 NA educationHS grad (GED) 0.002036319 NA educationSome college 0.019843164 NA educationBA or equiv. degree 0.015242738 NA educationMA or equiv. degree 0.009671219 NA educationPh.D or prof. degree 0.000680028 NA afqt 0.002476837 NA family_responsibility 0.002589053 NA years_worked_civilian 0.122748004 NA years_worked_military -0.001116610 NA part_time -0.074496524 NA industryManufacturing -0.012664840 NA industryEducation, Health, Public Admin. -0.044325458 NA industryOther services -0.034891646 NA Reweighting error (Intercept) NA age NA central_cityyes NA msayes NA regionNorth-central NA regionSouth NA regionWest NA blackyes NA hispanicyes NA education<10 yrs NA educationHS grad (diploma) NA educationHS grad (GED) NA educationSome college NA educationBA or equiv. degree NA educationMA or equiv. degree NA educationPh.D or prof. degree NA afqt NA family_responsibility NA years_worked_civilian NA years_worked_military NA part_time NA industryManufacturing NA industryEducation, Health, Public Admin. NA industryOther services NA The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Dobuly robust Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Aggregate decomposition: Observed difference Composition effect Total difference 0.2333003 0.1676565 Structure effect Specification error Total difference 0.1006792 -0.0009443692 Reweighting error Total difference -0.0340911 Detailed decomposition: Observed difference Composition effect (Intercept) 0.126149819 0.000000e+00 age -0.125897513 3.615334e-03 central_cityyes 0.004356765 -6.312288e-04 msayes 0.033216297 2.768105e-03 regionNorth-central 0.012442142 7.220499e-04 regionSouth 0.019013607 -4.008692e-03 regionWest 0.007054930 -3.753815e-05 blackyes -0.020991875 -1.502113e-03 hispanicyes -0.015138068 1.576044e-03 education<10 yrs 0.001395889 -2.729302e-04 educationHS grad (diploma) -0.002904367 -2.572142e-04 educationHS grad (GED) 0.002361284 2.970151e-05 educationSome college 0.007511933 -3.162396e-03 educationBA or equiv. degree 0.016075839 -6.116342e-04 educationMA or equiv. degree 0.002308340 -4.559438e-03 educationPh.D or prof. degree 0.007806320 9.895546e-03 afqt 0.013286422 2.132165e-02 family_responsibility 0.035391033 3.409341e-02 years_worked_civilian 0.183501007 3.478173e-02 years_worked_military 0.011295843 5.294669e-02 part_time -0.010494312 1.588800e-02 industryManufacturing -0.008689109 1.506228e-02 industryEducation, Health, Public Admin. -0.030947494 -1.562323e-02 industryOther services -0.034804444 5.622413e-03 Structure effect Specification error (Intercept) 0.545252419 -0.4191026009 age -0.675410290 0.5441611310 central_cityyes -0.001542316 0.0068418926 msayes -0.008926067 0.0428398323 regionNorth-central 0.022708278 -0.0093354493 regionSouth 0.048896656 -0.0381759757 regionWest 0.005840416 0.0010402708 blackyes -0.035433947 0.0158444917 hispanicyes -0.028208270 0.0133871228 education<10 yrs 0.012267670 -0.0058868049 educationHS grad (diploma) -0.007640547 0.0051742437 educationHS grad (GED) 0.006087625 -0.0027669757 educationSome college 0.019548781 -0.0054724446 educationBA or equiv. degree 0.008604929 0.0066629341 educationMA or equiv. degree 0.007490101 -0.0001084623 educationPh.D or prof. degree 0.004792467 -0.0043136399 afqt -0.035217807 0.0401910080 family_responsibility 0.009298074 -0.0092424407 years_worked_civilian 0.362007725 -0.2207724665 years_worked_military -0.002783595 -0.0179884157 part_time -0.015929823 -0.0124934248 industryManufacturing -0.036500612 0.0110123404 industryEducation, Health, Public Admin. -0.022094760 0.0054599487 industryOther services -0.082427888 0.0520995155 Reweighting error (Intercept) 0.000000e+00 age 1.736311e-03 central_cityyes -3.115829e-04 msayes -3.465573e-03 regionNorth-central -1.652737e-03 regionSouth 1.230162e-02 regionWest 2.117816e-04 blackyes 9.969281e-05 hispanicyes -1.892965e-03 education<10 yrs -4.712046e-03 educationHS grad (diploma) -1.808500e-04 educationHS grad (GED) -9.890668e-04 educationSome college -3.402008e-03 educationBA or equiv. degree 1.419610e-03 educationMA or equiv. degree -5.138603e-04 educationPh.D or prof. degree -2.568053e-03 afqt -1.300843e-02 family_responsibility 1.241994e-03 years_worked_civilian 7.484014e-03 years_worked_military -2.087883e-02 part_time 2.040934e-03 industryManufacturing 1.736879e-03 industryEducation, Health, Public Admin. 1.310549e-03 industryOther services -1.009848e-02 Dobuly robust Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Aggregate decomposition: Observed difference Composition effect Total difference 0.2333003 0.1676565 Structure effect Specification error Total difference 0.1006792 -0.0009443692 Reweighting error Total difference -0.0340911 Detailed decomposition: Observed difference Composition effect (Intercept) 0.126149819 0.000000e+00 age -0.125897513 3.615334e-03 central_cityyes 0.004356765 -6.312288e-04 msayes 0.033216297 2.768105e-03 regionNorth-central 0.012442142 7.220499e-04 regionSouth 0.019013607 -4.008692e-03 regionWest 0.007054930 -3.753815e-05 blackyes -0.020991875 -1.502113e-03 hispanicyes -0.015138068 1.576044e-03 education<10 yrs 0.001395889 -2.729302e-04 educationHS grad (diploma) -0.002904367 -2.572142e-04 educationHS grad (GED) 0.002361284 2.970151e-05 educationSome college 0.007511933 -3.162396e-03 educationBA or equiv. degree 0.016075839 -6.116342e-04 educationMA or equiv. degree 0.002308340 -4.559438e-03 educationPh.D or prof. degree 0.007806320 9.895546e-03 afqt 0.013286422 2.132165e-02 family_responsibility 0.035391033 3.409341e-02 years_worked_civilian 0.183501007 3.478173e-02 years_worked_military 0.011295843 5.294669e-02 part_time -0.010494312 1.588800e-02 industryManufacturing -0.008689109 1.506228e-02 industryEducation, Health, Public Admin. -0.030947494 -1.562323e-02 industryOther services -0.034804444 5.622413e-03 Structure effect Specification error (Intercept) 0.545252419 -0.4191026009 age -0.675410290 0.5441611310 central_cityyes -0.001542316 0.0068418926 msayes -0.008926067 0.0428398323 regionNorth-central 0.022708278 -0.0093354493 regionSouth 0.048896656 -0.0381759757 regionWest 0.005840416 0.0010402708 blackyes -0.035433947 0.0158444917 hispanicyes -0.028208270 0.0133871228 education<10 yrs 0.012267670 -0.0058868049 educationHS grad (diploma) -0.007640547 0.0051742437 educationHS grad (GED) 0.006087625 -0.0027669757 educationSome college 0.019548781 -0.0054724446 educationBA or equiv. degree 0.008604929 0.0066629341 educationMA or equiv. degree 0.007490101 -0.0001084623 educationPh.D or prof. degree 0.004792467 -0.0043136399 afqt -0.035217807 0.0401910080 family_responsibility 0.009298074 -0.0092424407 years_worked_civilian 0.362007725 -0.2207724665 years_worked_military -0.002783595 -0.0179884157 part_time -0.015929823 -0.0124934248 industryManufacturing -0.036500612 0.0110123404 industryEducation, Health, Public Admin. -0.022094760 0.0054599487 industryOther services -0.082427888 0.0520995155 Reweighting error (Intercept) 0.000000e+00 age 1.736311e-03 central_cityyes -3.115829e-04 msayes -3.465573e-03 regionNorth-central -1.652737e-03 regionSouth 1.230162e-02 regionWest 2.117816e-04 blackyes 9.969281e-05 hispanicyes -1.892965e-03 education<10 yrs -4.712046e-03 educationHS grad (diploma) -1.808500e-04 educationHS grad (GED) -9.890668e-04 educationSome college -3.402008e-03 educationBA or equiv. degree 1.419610e-03 educationMA or equiv. degree -5.138603e-04 educationPh.D or prof. degree -2.568053e-03 afqt -1.300843e-02 family_responsibility 1.241994e-03 years_worked_civilian 7.484014e-03 years_worked_military -2.087883e-02 part_time 2.040934e-03 industryManufacturing 1.736879e-03 industryEducation, Health, Public Admin. 1.310549e-03 industryOther services -1.009848e-02 The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Bootstrapping standard errors... Reweighted RIF regression decomposition of difference in variance between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Aggregate decomposition: Observed difference Composition effect Total difference 0.03416073 0.02553613 Structure effect Specification error Total difference 0.03117177 -0.03583657 Reweighting error Total difference 0.0132894 Detailed decomposition: Observed difference Composition effect (Intercept) -0.1077538719 0.000000e+00 age 0.2556377655 -1.432358e-03 central_cityyes -0.0063736695 2.035628e-05 msayes -0.0203449481 1.065750e-04 regionNorth-central 0.0058716475 5.397081e-04 regionSouth 0.0065047157 -2.374444e-04 regionWest 0.0108194760 2.189650e-04 blackyes 0.0069526995 2.716938e-04 hispanicyes -0.0043853658 -1.149238e-04 education<10 yrs -0.0007639925 1.656101e-04 educationHS grad (diploma) -0.0125520536 -9.183004e-04 educationHS grad (GED) -0.0009223749 4.506763e-05 educationSome college -0.0019332847 1.072455e-03 educationBA or equiv. degree 0.0025983389 -1.634198e-04 educationMA or equiv. degree -0.0026506148 -2.360132e-03 educationPh.D or prof. degree 0.0044881693 1.032428e-02 afqt 0.0143234233 6.273051e-03 family_responsibility 0.0341201714 2.554437e-02 years_worked_civilian -0.1681540281 -1.182884e-02 years_worked_military -0.0135241404 -9.116915e-03 part_time 0.0079289275 -1.723576e-03 industryManufacturing 0.0025949670 2.798997e-03 industryEducation, Health, Public Admin. 0.0017658167 4.104112e-03 industryOther services 0.0199129542 1.946792e-03 Structure effect Specification error (Intercept) -0.156429953 4.867608e-02 age 0.134955227 1.238531e-01 central_cityyes 0.013419649 -1.999769e-02 msayes 0.036473866 -5.849654e-02 regionNorth-central 0.005047732 1.133168e-03 regionSouth -0.004284182 1.186264e-02 regionWest -0.007173106 1.626245e-02 blackyes 0.016034856 -9.312983e-03 hispanicyes 0.012784554 -1.846522e-02 education<10 yrs -0.002010937 5.599594e-05 educationHS grad (diploma) 0.012763323 -2.623448e-02 educationHS grad (GED) -0.002540949 1.427156e-03 educationSome college 0.017860457 -2.651688e-02 educationBA or equiv. degree 0.008451833 -5.846942e-03 educationMA or equiv. degree 0.004815659 -4.991030e-03 educationPh.D or prof. degree 0.004538107 -8.699174e-03 afqt 0.030424075 -2.041901e-02 family_responsibility -0.007917376 1.700011e-02 years_worked_civilian -0.153169073 1.346706e-03 years_worked_military -0.005220865 -1.016098e-02 part_time 0.010060491 -3.354345e-04 industryManufacturing 0.004362207 -4.618574e-03 industryEducation, Health, Public Admin. 0.007017822 -8.325570e-03 industryOther services 0.050908350 -3.503351e-02 Reweighting error (Intercept) 0.000000e+00 age -1.738241e-03 central_cityyes 1.840176e-04 msayes 1.571149e-03 regionNorth-central -8.489601e-04 regionSouth -8.362985e-04 regionWest 1.511166e-03 blackyes -4.086737e-05 hispanicyes 1.410227e-03 education<10 yrs 1.025338e-03 educationHS grad (diploma) 1.837400e-03 educationHS grad (GED) 1.463510e-04 educationSome college 5.650681e-03 educationBA or equiv. degree 1.568673e-04 educationMA or equiv. degree -1.151117e-04 educationPh.D or prof. degree -1.675046e-03 afqt -1.954692e-03 family_responsibility -5.069333e-04 years_worked_civilian -4.502821e-03 years_worked_military 1.097462e-02 part_time -7.255301e-05 industryManufacturing 5.233690e-05 industryEducation, Health, Public Admin. -1.030547e-03 industryOther services 2.091321e-03 The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Reweighted RIF regression decomposition of difference in quantiles between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. *** Quantile: 0.1 *** Aggregate decomposition: Observed difference Composition effect Total difference 0.1380008 0.1198836 Structure effect Specification error Total difference 0.05074932 -0.006933729 Reweighting error Total difference -0.02569843 Detailed decomposition: Observed difference Composition effect (Intercept) 0.216424642 0.000000e+00 age -0.707275169 5.264888e-03 central_cityyes 0.017856506 -7.416917e-04 msayes 0.035475018 3.295703e-03 regionNorth-central 0.016085964 3.081997e-04 regionSouth 0.004469729 -3.298704e-03 regionWest -0.002636878 3.013380e-05 blackyes -0.017128248 -1.116155e-03 hispanicyes 0.008433946 -1.027860e-04 education<10 yrs -0.001309341 -9.883272e-05 educationHS grad (diploma) 0.016103384 7.209161e-04 educationHS grad (GED) 0.004858923 -1.404773e-05 educationSome college 0.010754905 -3.880116e-03 educationBA or equiv. degree 0.022747927 -3.042406e-04 educationMA or equiv. degree 0.011142552 -1.280817e-03 educationPh.D or prof. degree 0.006078990 2.050521e-03 afqt -0.007994671 1.085595e-02 family_responsibility -0.049222565 -3.459349e-02 years_worked_civilian 0.559760414 4.980472e-02 years_worked_military 0.029338558 6.637362e-02 part_time -0.044956562 1.317504e-02 industryManufacturing -0.001882984 5.105331e-03 industryEducation, Health, Public Admin. 0.017111083 1.345539e-02 industryOther services -0.006235318 -5.125903e-03 Structure effect Specification error (Intercept) 1.271047076 -1.0546224342 age -1.773632873 1.0593902900 central_cityyes -0.019775818 0.0390125826 msayes -0.102217640 0.1410757280 regionNorth-central 0.004388948 0.0113631123 regionSouth -0.007333308 0.0095138235 regionWest 0.005174713 -0.0069229463 blackyes -0.022924400 0.0068556489 hispanicyes -0.028598078 0.0399833449 education<10 yrs 0.017661123 -0.0120120258 educationHS grad (diploma) -0.011178150 0.0284386915 educationHS grad (GED) 0.008859758 -0.0031493310 educationSome college -0.009926918 0.0354130983 educationBA or equiv. degree 0.015190086 0.0070470764 educationMA or equiv. degree 0.011126733 0.0014873955 educationPh.D or prof. degree 0.005015367 -0.0003167057 afqt -0.094015695 0.0855693169 family_responsibility 0.042404923 -0.0599385643 years_worked_civilian 1.056956221 -0.5514690068 years_worked_military 0.040464843 -0.0874474105 part_time -0.052227620 -0.0073296172 industryManufacturing -0.080732237 0.0704482935 industryEducation, Health, Public Admin. -0.042072774 0.0421875825 industryOther services -0.182904959 0.1984883277 Reweighting error (Intercept) 0.000000e+00 age 1.702525e-03 central_cityyes -6.385673e-04 msayes -6.678773e-03 regionNorth-central 2.570383e-05 regionSouth 5.587918e-03 regionWest -9.187792e-04 blackyes 5.665906e-05 hispanicyes -2.848535e-03 education<10 yrs -6.859605e-03 educationHS grad (diploma) -1.878073e-03 educationHS grad (GED) -8.374560e-04 educationSome college -1.085116e-02 educationBA or equiv. degree 8.150051e-04 educationMA or equiv. degree -1.907591e-04 educationPh.D or prof. degree -6.701917e-04 afqt -1.040424e-02 family_responsibility 2.904562e-03 years_worked_civilian 4.468476e-03 years_worked_military 9.947508e-03 part_time 1.425631e-03 industryManufacturing 3.295628e-03 industryEducation, Health, Public Admin. 3.540880e-03 industryOther services -1.669278e-02 *** Quantile: 0.5 *** Aggregate decomposition: Observed difference Composition effect Total difference 0.2546524 0.2082123 Structure effect Specification error Total difference 0.08772027 0.01582335 Reweighting error Total difference -0.05710348 Detailed decomposition: Observed difference Composition effect (Intercept) 0.1419149524 0.0000000000 age 0.1448297755 0.0046671814 central_cityyes 0.0114782899 -0.0005753727 msayes 0.0446562047 0.0029296397 regionNorth-central 0.0004417725 0.0005718117 regionSouth 0.0099940085 -0.0045527616 regionWest -0.0041223741 -0.0002208714 blackyes -0.0321623314 -0.0018664234 hispanicyes -0.0258042877 0.0028784352 education<10 yrs -0.0015348342 -0.0003467024 educationHS grad (diploma) -0.0031293718 -0.0004800224 educationHS grad (GED) 0.0047506856 0.0001521209 educationSome college 0.0089283909 -0.0036062133 educationBA or equiv. degree 0.0110023344 -0.0006595430 educationMA or equiv. degree 0.0010902699 -0.0041904107 educationPh.D or prof. degree 0.0053755727 0.0066624609 afqt 0.0097295241 0.0272424577 family_responsibility 0.0426926205 0.0420888233 years_worked_civilian 0.0253947014 0.0482643646 years_worked_military 0.0118336168 0.0732101898 part_time 0.0083939696 0.0256344300 industryManufacturing -0.0148243285 0.0185426157 industryEducation, Health, Public Admin. -0.0712795972 -0.0413247373 industryOther services -0.0749971274 0.0131908241 Structure effect Specification error (Intercept) 0.6868110023 -0.5448960499 age -0.8789517951 1.0178487523 central_cityyes 0.0130589268 -0.0007829996 msayes 0.0112610939 0.0338064169 regionNorth-central 0.0196349459 -0.0179530640 regionSouth 0.0720959925 -0.0750298176 regionWest 0.0135810763 -0.0160070798 blackyes -0.0574092871 0.0269637346 hispanicyes -0.0437489073 0.0180585177 education<10 yrs 0.0087803136 -0.0051808640 educationHS grad (diploma) -0.0049824027 0.0022597520 educationHS grad (GED) 0.0015340430 0.0030793523 educationSome college 0.0161244940 0.0015194847 educationBA or equiv. degree -0.0073781285 0.0172166414 educationMA or equiv. degree 0.0007712287 0.0051419826 educationPh.D or prof. degree 0.0031944488 -0.0027045471 afqt 0.0231485882 -0.0286890863 family_responsibility 0.0127325078 -0.0138059310 years_worked_civilian 0.3824833738 -0.4129091247 years_worked_military -0.0212126193 0.0057496898 part_time -0.0152671394 -0.0038286797 industryManufacturing -0.0364409963 0.0014279626 industryEducation, Health, Public Admin. -0.0249608491 -0.0063863102 industryOther services -0.0871396435 0.0109246184 Reweighting error (Intercept) 0.000000e+00 age 1.265637e-03 central_cityyes -2.222646e-04 msayes -3.340946e-03 regionNorth-central -1.811921e-03 regionSouth 1.748060e-02 regionWest -1.475499e-03 blackyes 1.496444e-04 hispanicyes -2.992333e-03 education<10 yrs -4.787581e-03 educationHS grad (diploma) 7.330134e-05 educationHS grad (GED) -1.483063e-05 educationSome college -5.109374e-03 educationBA or equiv. degree 1.823365e-03 educationMA or equiv. degree -6.325307e-04 educationPh.D or prof. degree -1.776790e-03 afqt -1.197244e-02 family_responsibility 1.677220e-03 years_worked_civilian 7.556088e-03 years_worked_military -4.591364e-02 part_time 1.855359e-03 industryManufacturing 1.646090e-03 industryEducation, Health, Public Admin. 1.392299e-03 industryOther services -1.197293e-02 *** Quantile: 0.9 *** Aggregate decomposition: Observed difference Composition effect Total difference 0.2508959 0.1320546 Structure effect Specification error Total difference 0.1204141 0.005308852 Reweighting error Total difference -0.00688165 Detailed decomposition: Observed difference Composition effect (Intercept) -0.7326558839 0.000000e+00 age 0.7840764211 3.019111e-03 central_cityyes -0.0072977081 -5.746690e-04 msayes 0.0387191413 2.658328e-03 regionNorth-central 0.0381428537 1.532170e-03 regionSouth 0.0620124946 -4.517065e-03 regionWest 0.0202018625 -2.034788e-05 blackyes 0.0041320955 -6.232831e-04 hispanicyes -0.0111171566 1.015925e-03 education<10 yrs 0.0009022898 4.562316e-05 educationHS grad (diploma) -0.0136133606 -1.921394e-03 educationHS grad (GED) 0.0018778350 1.023495e-04 educationSome college 0.0043757028 -6.374996e-04 educationBA or equiv. degree 0.0172866701 -9.945322e-04 educationMA or equiv. degree 0.0104035959 -7.747285e-03 educationPh.D or prof. degree 0.0133301326 1.970765e-02 afqt 0.0148305347 2.474616e-02 family_responsibility 0.0566794244 5.098156e-02 years_worked_civilian -0.0412292457 1.448360e-02 years_worked_military -0.0029622121 -8.986599e-03 part_time 0.0030930382 1.198753e-02 industryManufacturing 0.0017708257 1.585432e-02 industryEducation, Health, Public Admin. -0.0095594235 6.655431e-03 industryOther services -0.0025040133 5.287536e-03 Structure effect Specification error (Intercept) 0.286106845 -1.0187627294 age -0.473010513 1.2550953605 central_cityyes -0.010194763 0.0037334368 msayes 0.084784009 -0.0479190814 regionNorth-central 0.068459094 -0.0279533823 regionSouth 0.074354208 -0.0190282995 regionWest -0.004574691 0.0220405972 blackyes 0.002702488 0.0020276293 hispanicyes -0.018397647 0.0073949856 education<10 yrs 0.013960164 -0.0087921694 educationHS grad (diploma) 0.023921102 -0.0385499195 educationHS grad (GED) 0.012106725 -0.0075145027 educationSome college 0.041057380 -0.0418102946 educationBA or equiv. degree 0.013367729 0.0028383335 educationMA or equiv. degree 0.019266495 -0.0002443102 educationPh.D or prof. degree -0.003961701 0.0062479327 afqt -0.116976410 0.1268142190 family_responsibility -0.006408473 0.0117877685 years_worked_civilian 0.110542197 -0.1673687435 years_worked_military 0.003779577 -0.0067618755 part_time 0.015544277 -0.0275765980 industryManufacturing -0.035578557 0.0193519758 industryEducation, Health, Public Admin. 0.002085566 -0.0163459347 industryOther services 0.017478999 -0.0233955466 Reweighting error (Intercept) 0.000000e+00 age -1.027537e-03 central_cityyes -2.617133e-04 msayes -8.041149e-04 regionNorth-central -3.895028e-03 regionSouth 1.120365e-02 regionWest 2.756305e-03 blackyes 2.526151e-05 hispanicyes -1.130420e-03 education<10 yrs -4.311328e-03 educationHS grad (diploma) 2.936851e-03 educationHS grad (GED) -2.816737e-03 educationSome college 5.766117e-03 educationBA or equiv. degree 2.075139e-03 educationMA or equiv. degree -8.713039e-04 educationPh.D or prof. degree -8.663745e-03 afqt -1.975343e-02 family_responsibility 3.185734e-04 years_worked_civilian 1.113698e-03 years_worked_military 9.006685e-03 part_time 3.137830e-03 industryManufacturing 2.143088e-03 industryEducation, Health, Public Admin. -1.954486e-03 industryOther services -1.875002e-03 Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'no'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Composition Effect: (X1 - X0) * b1 Structure Effect: X0 * (b1 - b0) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.23330029 0.01467856 0.2045308388 0.26206973 Composition effect 0.19737985 0.01804372 0.1620147999 0.23274490 Structure effect 0.03592044 0.01862245 -0.0005788881 0.07241976 Observed difference: Estimate Std. Error [ 95%-CI ] (Intercept) 0.126149819 0.212766125 -0.290864124 0.543163761 age -0.125897513 0.228555536 -0.573858132 0.322063105 central_city 0.004356765 0.014990240 -0.025023566 0.033737096 msa 0.033216297 0.030012333 -0.025606795 0.092039390 region 0.038510679 0.026411708 -0.013255317 0.090276675 black -0.020991875 0.009682647 -0.039969515 -0.002014235 hispanic -0.015138068 0.006531704 -0.027939973 -0.002336163 education 0.034555237 0.034289094 -0.032650152 0.101760625 afqt 0.013286422 0.024480097 -0.034693687 0.061266530 family_responsibility 0.035391033 0.011135019 0.013566797 0.057215269 years_worked_civilian 0.183501007 0.062292125 0.061410686 0.305591328 years_worked_military 0.011295843 0.003067450 0.005283751 0.017307935 part_time -0.010494312 0.008311316 -0.026784192 0.005795569 industry -0.074441047 0.031049296 -0.135296549 -0.013585545 Structure effect: Estimate Std. Error [ 95%-CI ] (Intercept) 0.126149819 0.2127661250 -0.290864124 0.543163761 age -0.133781710 0.2294018188 -0.583401013 0.315837593 central_city 0.005402639 0.0151665597 -0.024323272 0.035128550 msa 0.032480796 0.0298493285 -0.026022813 0.090984405 region 0.035164738 0.0264925986 -0.016759801 0.087089278 black -0.021841120 0.0102531115 -0.041936849 -0.001745391 hispanic -0.014909417 0.0063494176 -0.027354047 -0.002464788 education 0.046935874 0.0345859968 -0.020851434 0.114723182 afqt 0.002476837 0.0234856017 -0.043554097 0.048507770 family_responsibility 0.002589053 0.0174589307 -0.031629823 0.036807928 years_worked_civilian 0.122748004 0.0581265882 0.008821985 0.236674024 years_worked_military -0.001116610 0.0008854528 -0.002852065 0.000618846 part_time -0.074496524 0.0149962533 -0.103888640 -0.045104408 industry -0.091881943 0.0329434185 -0.156449857 -0.027314029 Composition effect: Estimate Std. Error [ 95%-CI ] (Intercept) 0.0000000000 0.0000000000 0.0000000000 0.000000000 age 0.0078841965 0.0022831874 0.0034092314 0.012359162 central_city -0.0010458738 0.0015399560 -0.0040641321 0.001972385 msa 0.0007355013 0.0023151585 -0.0038021261 0.005273129 region 0.0033459404 0.0018793103 -0.0003374400 0.007029321 black 0.0008492448 0.0009013686 -0.0009174052 0.002615895 hispanic -0.0002286508 0.0004393325 -0.0010897267 0.000632425 education -0.0123806374 0.0055523797 -0.0232631016 -0.001498173 afqt 0.0108095847 0.0034588019 0.0040304576 0.017588712 family_responsibility 0.0328019806 0.0106413985 0.0119452229 0.053658738 years_worked_civilian 0.0607530030 0.0067860829 0.0474525249 0.074053481 years_worked_military 0.0124124526 0.0026684243 0.0071824371 0.017642468 part_time 0.0640022124 0.0088960383 0.0465662977 0.081438127 industry 0.0174408958 0.0061842630 0.0053199630 0.029561829 The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Reweighted RIF regression decomposition of difference in variance between year == '2003-2005' (group 1) and year == '1983-1985' (group 0). The reference group is '1983-1985'. Group 0: year == '1983-1985' (23299 observations) Group 1: year == '2003-2005' (17048 observations) Group C: year == '1983-1985' (reference group) reweighted to match the characteristics of the other group (23299 observations). Pure Composition Effect: (XC - X0) * b0 Pure Structure Effect: XC * (bC - b0) Specification Error: (X1 - XC) * bC Reweighting Error: X1 * (b1 - bC) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.0508042664 NA NA NA Composition effect 0.0296442794 NA NA NA Structure effect 0.0288958452 NA NA NA Specification error -0.0076343914 NA NA NA Reweighting error -0.0001014668 NA NA NA Observed difference: Estimate Std. Error [ 95%-CI ] (Intercept) -2.953514e-02 NA NA NA unionyes 3.854936e-03 NA NA NA educationElementary 1.217576e-03 NA NA NA educationHS dropout 5.593234e-03 NA NA NA educationSome College -4.570377e-04 NA NA NA educationCollege 3.350059e-02 NA NA NA educationPost-graduate 2.758235e-02 NA NA NA experience0-4 3.009142e-03 NA NA NA experience5-9 1.207186e-02 NA NA NA experience10-14 5.782613e-03 NA NA NA experience15-19 5.042642e-03 NA NA NA experience25-29 -4.443290e-03 NA NA NA experience30-34 -6.237351e-05 NA NA NA experience35-39 1.067437e-03 NA NA NA experience>=40 9.022699e-05 NA NA NA unionyes:educationElementary 1.694391e-03 NA NA NA unionyes:educationHS dropout 4.255012e-04 NA NA NA unionyes:educationSome College 8.031642e-04 NA NA NA unionyes:educationCollege -6.126676e-04 NA NA NA unionyes:educationPost-graduate -8.443292e-04 NA NA NA unionyes:experience0-4 1.517274e-03 NA NA NA unionyes:experience5-9 -4.569321e-05 NA NA NA unionyes:experience10-14 -6.161616e-04 NA NA NA unionyes:experience15-19 -8.785340e-04 NA NA NA unionyes:experience25-29 1.773275e-03 NA NA NA unionyes:experience30-34 -3.778427e-04 NA NA NA unionyes:experience35-39 -5.250224e-04 NA NA NA unionyes:experience>=40 -1.310760e-04 NA NA NA educationElementary:experience0-4 -4.057103e-04 NA NA NA educationHS dropout:experience0-4 -4.923516e-03 NA NA NA educationSome College:experience0-4 1.179443e-03 NA NA NA educationCollege:experience0-4 -3.030659e-03 NA NA NA educationPost-graduate:experience0-4 1.132169e-03 NA NA NA educationElementary:experience5-9 -3.899965e-04 NA NA NA educationHS dropout:experience5-9 -9.884150e-04 NA NA NA educationSome College:experience5-9 -7.801482e-04 NA NA NA educationCollege:experience5-9 -2.997394e-03 NA NA NA educationPost-graduate:experience5-9 -1.450203e-04 NA NA NA educationElementary:experience10-14 2.578581e-04 NA NA NA educationHS dropout:experience10-14 -7.950854e-04 NA NA NA educationSome College:experience10-14 -7.487258e-04 NA NA NA educationCollege:experience10-14 -6.066500e-04 NA NA NA educationPost-graduate:experience10-14 -4.459226e-04 NA NA NA educationElementary:experience15-19 -5.040542e-05 NA NA NA educationHS dropout:experience15-19 3.312930e-05 NA NA NA educationSome College:experience15-19 1.226768e-04 NA NA NA educationCollege:experience15-19 -1.468186e-03 NA NA NA educationPost-graduate:experience15-19 -4.188611e-04 NA NA NA educationElementary:experience25-29 -5.729025e-05 NA NA NA educationHS dropout:experience25-29 1.197019e-04 NA NA NA educationSome College:experience25-29 1.255377e-03 NA NA NA educationCollege:experience25-29 -2.198220e-04 NA NA NA educationPost-graduate:experience25-29 -1.345468e-03 NA NA NA educationElementary:experience30-34 -1.970255e-04 NA NA NA educationHS dropout:experience30-34 1.935808e-04 NA NA NA educationSome College:experience30-34 1.170126e-03 NA NA NA educationCollege:experience30-34 -3.283644e-04 NA NA NA educationPost-graduate:experience30-34 -1.924387e-04 NA NA NA educationElementary:experience35-39 4.144045e-04 NA NA NA educationHS dropout:experience35-39 7.394115e-05 NA NA NA educationSome College:experience35-39 -5.291030e-05 NA NA NA educationCollege:experience35-39 -1.165234e-03 NA NA NA educationPost-graduate:experience35-39 -4.131070e-04 NA NA NA educationElementary:experience>=40 4.053699e-04 NA NA NA educationHS dropout:experience>=40 1.418157e-04 NA NA NA educationSome College:experience>=40 1.536351e-04 NA NA NA educationCollege:experience>=40 1.073469e-04 NA NA NA educationPost-graduate:experience>=40 -2.869877e-04 NA NA NA Pure structure effect: Estimate Std. Error [ 95%-CI ] (Intercept) -1.938704e-02 NA NA NA unionyes 3.623530e-03 NA NA NA educationElementary -5.838975e-05 NA NA NA educationHS dropout -9.692402e-04 NA NA NA educationSome College 1.931313e-03 NA NA NA educationCollege 2.937953e-02 NA NA NA educationPost-graduate 3.490020e-02 NA NA NA experience0-4 -4.410422e-03 NA NA NA experience5-9 2.888303e-03 NA NA NA experience10-14 -6.476821e-04 NA NA NA experience15-19 3.749807e-03 NA NA NA experience25-29 -5.532299e-03 NA NA NA experience30-34 8.465967e-05 NA NA NA experience35-39 2.985976e-04 NA NA NA experience>=40 -3.792426e-04 NA NA NA unionyes:educationElementary -1.400367e-05 NA NA NA unionyes:educationHS dropout -1.193165e-04 NA NA NA unionyes:educationSome College 7.651545e-04 NA NA NA unionyes:educationCollege -4.933282e-04 NA NA NA unionyes:educationPost-graduate -2.018270e-03 NA NA NA unionyes:experience0-4 2.977906e-04 NA NA NA unionyes:experience5-9 -3.648396e-04 NA NA NA unionyes:experience10-14 -4.177046e-04 NA NA NA unionyes:experience15-19 -5.057893e-04 NA NA NA unionyes:experience25-29 1.421240e-03 NA NA NA unionyes:experience30-34 -4.172809e-04 NA NA NA unionyes:experience35-39 -2.627665e-04 NA NA NA unionyes:experience>=40 -6.077169e-05 NA NA NA educationElementary:experience0-4 -1.243198e-04 NA NA NA educationHS dropout:experience0-4 -1.138082e-03 NA NA NA educationSome College:experience0-4 7.370303e-04 NA NA NA educationCollege:experience0-4 -3.265487e-03 NA NA NA educationPost-graduate:experience0-4 -1.133870e-03 NA NA NA educationElementary:experience5-9 -1.492510e-04 NA NA NA educationHS dropout:experience5-9 2.456733e-04 NA NA NA educationSome College:experience5-9 -4.261034e-04 NA NA NA educationCollege:experience5-9 -2.767982e-03 NA NA NA educationPost-graduate:experience5-9 -1.238182e-03 NA NA NA educationElementary:experience10-14 3.377883e-04 NA NA NA educationHS dropout:experience10-14 5.292451e-05 NA NA NA educationSome College:experience10-14 -1.959245e-04 NA NA NA educationCollege:experience10-14 2.757611e-04 NA NA NA educationPost-graduate:experience10-14 -7.859789e-04 NA NA NA educationElementary:experience15-19 1.081979e-05 NA NA NA educationHS dropout:experience15-19 2.793405e-04 NA NA NA educationSome College:experience15-19 3.665045e-04 NA NA NA educationCollege:experience15-19 -1.082279e-03 NA NA NA educationPost-graduate:experience15-19 -4.422900e-04 NA NA NA educationElementary:experience25-29 5.885703e-05 NA NA NA educationHS dropout:experience25-29 4.183363e-04 NA NA NA educationSome College:experience25-29 7.384548e-04 NA NA NA educationCollege:experience25-29 -1.265133e-04 NA NA NA educationPost-graduate:experience25-29 -1.701284e-03 NA NA NA educationElementary:experience30-34 -1.062503e-04 NA NA NA educationHS dropout:experience30-34 4.218557e-04 NA NA NA educationSome College:experience30-34 1.177977e-04 NA NA NA educationCollege:experience30-34 -1.046761e-03 NA NA NA educationPost-graduate:experience30-34 -2.304361e-04 NA NA NA educationElementary:experience35-39 1.559394e-04 NA NA NA educationHS dropout:experience35-39 2.656246e-04 NA NA NA educationSome College:experience35-39 -9.948487e-04 NA NA NA educationCollege:experience35-39 -1.120767e-03 NA NA NA educationPost-graduate:experience35-39 -6.991931e-04 NA NA NA educationElementary:experience>=40 6.820760e-05 NA NA NA educationHS dropout:experience>=40 1.233282e-04 NA NA NA educationSome College:experience>=40 5.015806e-05 NA NA NA educationCollege:experience>=40 2.332806e-04 NA NA NA educationPost-graduate:experience>=40 -5.677803e-04 NA NA NA Pure composition effect: Estimate Std. Error [ 95%-CI ] (Intercept) 0.000000e+00 NA NA NA unionyes 6.747955e-03 NA NA NA educationElementary -2.261465e-03 NA NA NA educationHS dropout 7.932019e-04 NA NA NA educationSome College 2.401118e-03 NA NA NA educationCollege 1.586419e-02 NA NA NA educationPost-graduate 9.425738e-04 NA NA NA experience0-4 -8.153936e-03 NA NA NA experience5-9 1.589042e-03 NA NA NA experience10-14 1.517266e-03 NA NA NA experience15-19 -3.581431e-04 NA NA NA experience25-29 6.398896e-04 NA NA NA experience30-34 2.038179e-04 NA NA NA experience35-39 1.265590e-04 NA NA NA experience>=40 -4.981414e-04 NA NA NA unionyes:educationElementary 1.794106e-03 NA NA NA unionyes:educationHS dropout 6.240922e-04 NA NA NA unionyes:educationSome College 1.819326e-05 NA NA NA unionyes:educationCollege -1.489616e-04 NA NA NA unionyes:educationPost-graduate 6.297239e-04 NA NA NA unionyes:experience0-4 1.130457e-03 NA NA NA unionyes:experience5-9 3.712171e-05 NA NA NA unionyes:experience10-14 -4.233076e-04 NA NA NA unionyes:experience15-19 -4.280223e-04 NA NA NA unionyes:experience25-29 6.931553e-06 NA NA NA unionyes:experience30-34 -1.597100e-05 NA NA NA unionyes:experience35-39 -3.660962e-05 NA NA NA unionyes:experience>=40 1.796820e-04 NA NA NA educationElementary:experience0-4 -2.470174e-04 NA NA NA educationHS dropout:experience0-4 -2.954224e-03 NA NA NA educationSome College:experience0-4 1.605356e-04 NA NA NA educationCollege:experience0-4 8.156006e-04 NA NA NA educationPost-graduate:experience0-4 2.402666e-03 NA NA NA educationElementary:experience5-9 -1.978895e-04 NA NA NA educationHS dropout:experience5-9 -9.319604e-04 NA NA NA educationSome College:experience5-9 1.154293e-04 NA NA NA educationCollege:experience5-9 3.708840e-04 NA NA NA educationPost-graduate:experience5-9 1.352934e-03 NA NA NA educationElementary:experience10-14 1.321268e-06 NA NA NA educationHS dropout:experience10-14 -6.999092e-04 NA NA NA educationSome College:experience10-14 4.622051e-05 NA NA NA educationCollege:experience10-14 -4.538782e-04 NA NA NA educationPost-graduate:experience10-14 5.425117e-04 NA NA NA educationElementary:experience15-19 2.947336e-05 NA NA NA educationHS dropout:experience15-19 -8.101928e-05 NA NA NA educationSome College:experience15-19 3.530076e-05 NA NA NA educationCollege:experience15-19 -4.028135e-04 NA NA NA educationPost-graduate:experience15-19 9.944657e-06 NA NA NA educationElementary:experience25-29 4.004872e-05 NA NA NA educationHS dropout:experience25-29 -4.638974e-05 NA NA NA educationSome College:experience25-29 1.165385e-03 NA NA NA educationCollege:experience25-29 2.368751e-04 NA NA NA educationPost-graduate:experience25-29 4.610208e-04 NA NA NA educationElementary:experience30-34 -7.781850e-05 NA NA NA educationHS dropout:experience30-34 6.350104e-05 NA NA NA educationSome College:experience30-34 1.386747e-03 NA NA NA educationCollege:experience30-34 6.687601e-04 NA NA NA educationPost-graduate:experience30-34 -1.199894e-04 NA NA NA educationElementary:experience35-39 3.712583e-04 NA NA NA educationHS dropout:experience35-39 5.080964e-05 NA NA NA educationSome College:experience35-39 1.180895e-03 NA NA NA educationCollege:experience35-39 2.003564e-04 NA NA NA educationPost-graduate:experience35-39 2.983770e-04 NA NA NA educationElementary:experience>=40 5.075334e-04 NA NA NA educationHS dropout:experience>=40 2.148788e-04 NA NA NA educationSome College:experience>=40 7.782231e-05 NA NA NA educationCollege:experience>=40 -8.303411e-05 NA NA NA educationPost-graduate:experience>=40 2.117686e-04 NA NA NA Specification error: Estimate Std. Error [ 95%-CI ] (Intercept) -1.014811e-02 NA NA NA unionyes -6.455984e-03 NA NA NA educationElementary 3.536843e-03 NA NA NA educationHS dropout 5.766551e-03 NA NA NA educationSome College -4.786141e-03 NA NA NA educationCollege -1.174921e-02 NA NA NA educationPost-graduate -8.273478e-03 NA NA NA experience0-4 1.559807e-02 NA NA NA experience5-9 7.594746e-03 NA NA NA experience10-14 4.913036e-03 NA NA NA experience15-19 1.652751e-03 NA NA NA experience25-29 4.479942e-04 NA NA NA experience30-34 -3.507468e-04 NA NA NA experience35-39 6.418174e-04 NA NA NA experience>=40 9.674027e-04 NA NA NA unionyes:educationElementary -8.683947e-05 NA NA NA unionyes:educationHS dropout -7.924239e-05 NA NA NA unionyes:educationSome College 1.646577e-05 NA NA NA unionyes:educationCollege 4.393029e-05 NA NA NA unionyes:educationPost-graduate 5.176858e-04 NA NA NA unionyes:experience0-4 6.149385e-05 NA NA NA unionyes:experience5-9 2.829003e-04 NA NA NA unionyes:experience10-14 2.244961e-04 NA NA NA unionyes:experience15-19 5.789953e-05 NA NA NA unionyes:experience25-29 3.509220e-04 NA NA NA unionyes:experience30-34 5.802214e-05 NA NA NA unionyes:experience35-39 -2.255001e-04 NA NA NA unionyes:experience>=40 -2.534568e-04 NA NA NA educationElementary:experience0-4 -3.084105e-05 NA NA NA educationHS dropout:experience0-4 -7.771150e-04 NA NA NA educationSome College:experience0-4 2.896053e-04 NA NA NA educationCollege:experience0-4 -5.676782e-04 NA NA NA educationPost-graduate:experience0-4 -1.498460e-04 NA NA NA educationElementary:experience5-9 -3.696670e-05 NA NA NA educationHS dropout:experience5-9 -2.917854e-04 NA NA NA educationSome College:experience5-9 -4.671383e-04 NA NA NA educationCollege:experience5-9 -6.005058e-04 NA NA NA educationPost-graduate:experience5-9 -2.607268e-04 NA NA NA educationElementary:experience10-14 -7.983092e-05 NA NA NA educationHS dropout:experience10-14 -1.486927e-04 NA NA NA educationSome College:experience10-14 -5.938577e-04 NA NA NA educationCollege:experience10-14 -4.434181e-04 NA NA NA educationPost-graduate:experience10-14 -1.955469e-04 NA NA NA educationElementary:experience15-19 -9.336303e-05 NA NA NA educationHS dropout:experience15-19 -1.676916e-04 NA NA NA educationSome College:experience15-19 -2.803778e-04 NA NA NA educationCollege:experience15-19 2.719187e-05 NA NA NA educationPost-graduate:experience15-19 1.236084e-05 NA NA NA educationElementary:experience25-29 -1.559371e-04 NA NA NA educationHS dropout:experience25-29 -2.523356e-04 NA NA NA educationSome College:experience25-29 -6.409787e-04 NA NA NA educationCollege:experience25-29 -3.301076e-04 NA NA NA educationPost-graduate:experience25-29 -1.123883e-04 NA NA NA educationElementary:experience30-34 -1.406015e-05 NA NA NA educationHS dropout:experience30-34 -2.891788e-04 NA NA NA educationSome College:experience30-34 -3.374663e-04 NA NA NA educationCollege:experience30-34 5.107965e-05 NA NA NA educationPost-graduate:experience30-34 1.580504e-04 NA NA NA educationElementary:experience35-39 -1.147628e-04 NA NA NA educationHS dropout:experience35-39 -2.410842e-04 NA NA NA educationSome College:experience35-39 -2.370733e-04 NA NA NA educationCollege:experience35-39 -2.448789e-04 NA NA NA educationPost-graduate:experience35-39 -1.656955e-05 NA NA NA educationElementary:experience>=40 -1.714928e-04 NA NA NA educationHS dropout:experience>=40 -1.929062e-04 NA NA NA educationSome College:experience>=40 2.460383e-05 NA NA NA educationCollege:experience>=40 -4.318656e-05 NA NA NA educationPost-graduate:experience>=40 5.818506e-05 NA NA NA Reweighting error: Estimate Std. Error [ 95%-CI ] (Intercept) 0.000000e+00 NA NA NA unionyes -6.056553e-05 NA NA NA educationElementary 5.871029e-07 NA NA NA educationHS dropout 2.721631e-06 NA NA NA educationSome College -3.327659e-06 NA NA NA educationCollege 6.074214e-06 NA NA NA educationPost-graduate 1.304902e-05 NA NA NA experience0-4 -2.456814e-05 NA NA NA experience5-9 -2.329079e-07 NA NA NA experience10-14 -6.480811e-09 NA NA NA experience15-19 -1.772616e-06 NA NA NA experience25-29 1.124701e-06 NA NA NA experience30-34 -1.042782e-07 NA NA NA experience35-39 4.634668e-07 NA NA NA experience>=40 2.082774e-07 NA NA NA unionyes:educationElementary 1.127692e-06 NA NA NA unionyes:educationHS dropout -3.216811e-08 NA NA NA unionyes:educationSome College 3.350627e-06 NA NA NA unionyes:educationCollege -1.430809e-05 NA NA NA unionyes:educationPost-graduate 2.653160e-05 NA NA NA unionyes:experience0-4 2.753200e-05 NA NA NA unionyes:experience5-9 -8.756395e-07 NA NA NA unionyes:experience10-14 3.543833e-07 NA NA NA unionyes:experience15-19 -2.621878e-06 NA NA NA unionyes:experience25-29 -5.818203e-06 NA NA NA unionyes:experience30-34 -2.613002e-06 NA NA NA unionyes:experience35-39 -1.461855e-07 NA NA NA unionyes:experience>=40 3.470589e-06 NA NA NA educationElementary:experience0-4 -3.532031e-06 NA NA NA educationHS dropout:experience0-4 -5.409429e-05 NA NA NA educationSome College:experience0-4 -7.727817e-06 NA NA NA educationCollege:experience0-4 -1.309461e-05 NA NA NA educationPost-graduate:experience0-4 1.321874e-05 NA NA NA educationElementary:experience5-9 -5.889298e-06 NA NA NA educationHS dropout:experience5-9 -1.034252e-05 NA NA NA educationSome College:experience5-9 -2.335855e-06 NA NA NA educationCollege:experience5-9 2.100383e-07 NA NA NA educationPost-graduate:experience5-9 9.547817e-07 NA NA NA educationElementary:experience10-14 -1.420585e-06 NA NA NA educationHS dropout:experience10-14 5.920206e-07 NA NA NA educationSome College:experience10-14 -5.164018e-06 NA NA NA educationCollege:experience10-14 1.488524e-05 NA NA NA educationPost-graduate:experience10-14 -6.908414e-06 NA NA NA educationElementary:experience15-19 2.664463e-06 NA NA NA educationHS dropout:experience15-19 2.499648e-06 NA NA NA educationSome College:experience15-19 1.249320e-06 NA NA NA educationCollege:experience15-19 -1.028568e-05 NA NA NA educationPost-graduate:experience15-19 1.123363e-06 NA NA NA educationElementary:experience25-29 -2.589379e-07 NA NA NA educationHS dropout:experience25-29 9.097594e-08 NA NA NA educationSome College:experience25-29 -7.484176e-06 NA NA NA educationCollege:experience25-29 -7.620230e-08 NA NA NA educationPost-graduate:experience25-29 7.183755e-06 NA NA NA educationElementary:experience30-34 1.103460e-06 NA NA NA educationHS dropout:experience30-34 -2.597073e-06 NA NA NA educationSome College:experience30-34 3.047714e-06 NA NA NA educationCollege:experience30-34 -1.442993e-06 NA NA NA educationPost-graduate:experience30-34 -6.362912e-08 NA NA NA educationElementary:experience35-39 1.969587e-06 NA NA NA educationHS dropout:experience35-39 -1.408923e-06 NA NA NA educationSome College:experience35-39 -1.883695e-06 NA NA NA educationCollege:experience35-39 5.622863e-08 NA NA NA educationPost-graduate:experience35-39 4.278731e-06 NA NA NA educationElementary:experience>=40 1.121645e-06 NA NA NA educationHS dropout:experience>=40 -3.485234e-06 NA NA NA educationSome College:experience>=40 1.050901e-06 NA NA NA educationCollege:experience>=40 2.869913e-07 NA NA NA educationPost-graduate:experience>=40 1.083904e-05 NA NA NA Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 0.1062986 10%-quantile 0.3250345 25%-quantile 0.6186942 50%-quantile 0.7854127 75%-quantile 1.2072399 90%-quantile 1.9117554 Max. 3.5994573 Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'no'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Composition Effect: (X1 - X0) * b1 Structure Effect: X0 * (b1 - b0) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.23330029 0.01467856 0.2045308388 0.26206973 Composition effect 0.19737985 0.01804372 0.1620147999 0.23274490 Structure effect 0.03592044 0.01862245 -0.0005788881 0.07241976 Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.08594372 0.23308188 -0.54277581 0.37088838 Education 0.03455524 0.03428909 -0.03265015 0.10176063 AFTQ 0.01328642 0.02448010 -0.03469369 0.06126653 L.T. withdrawal due to family 0.03539103 0.01113502 0.01356680 0.05721527 Life-time work experience 0.18430254 0.06475938 0.05737649 0.31122858 Industrial sectors -0.07444105 0.03104930 -0.13529655 -0.01358554 (Intercept) 0.12614982 0.21276613 -0.29086412 0.54316376 Structure effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.097484073 0.23386901 -0.55585892 0.36089077 Education 0.046935874 0.03458600 -0.02085143 0.11472318 AFTQ 0.002476837 0.02348560 -0.04355410 0.04850777 L.T. withdrawal due to family 0.002589053 0.01745893 -0.03162982 0.03680793 Life-time work experience 0.047134871 0.06165512 -0.07370695 0.16797669 Industrial sectors -0.091881943 0.03294342 -0.15644986 -0.02731403 (Intercept) 0.126149819 0.21276613 -0.29086412 0.54316376 Composition effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.01154036 0.003360938 0.004953041 0.018127676 Education -0.01238064 0.005552380 -0.023263102 -0.001498173 AFTQ 0.01080958 0.003458802 0.004030458 0.017588712 L.T. withdrawal due to family 0.03280198 0.010641398 0.011945223 0.053658738 Life-time work experience 0.13716767 0.011277181 0.115064800 0.159270536 Industrial sectors 0.01744090 0.006184263 0.005319963 0.029561829 (Intercept) 0.00000000 0.000000000 0.000000000 0.000000000 Bootstrapping standard errors... Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Composition Effect: (X1 - X0) * b0 Structure Effect: X1 * (b1 - b0) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.23330029 0.01372602 0.20639778 0.2602028 Composition effect 0.13662204 0.01044681 0.11614667 0.1570974 Structure effect 0.09667825 0.01400484 0.06922927 0.1241272 Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.08594372 0.159701317 -0.39895254 0.22706511 Education 0.03455524 0.025750627 -0.01591507 0.08502554 AFTQ 0.01328642 0.018077698 -0.02214522 0.04871806 L.T. withdrawal due to family 0.03539103 0.007628053 0.02044032 0.05034174 Life-time work experience 0.18430254 0.063545431 0.05975578 0.30884930 Industrial sectors -0.07444105 0.026725141 -0.12682136 -0.02206073 (Intercept) 0.12614982 0.122566494 -0.11407609 0.36637573 Structure effect: Estimate Std. Error [ 95%-CI Age, race, region, etc. -0.0954348077 0.159212614 -0.407485798 Education 0.0423687364 0.024056828 -0.004781781 AFTQ 0.0026391395 0.019579221 -0.035735429 L.T. withdrawal due to family 0.0006109502 0.003879544 -0.006992816 Life-time work experience 0.0972907720 0.063165965 -0.026512245 Industrial sectors -0.0769463622 0.026665480 -0.129209742 (Intercept) 0.1261498186 0.122566494 -0.114076095 ] Age, race, region, etc. 0.216616182 Education 0.089519254 AFTQ 0.041013708 L.T. withdrawal due to family 0.008214717 Life-time work experience 0.221093789 Industrial sectors -0.024682982 (Intercept) 0.366375732 Composition effect: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.009491093 0.004537429 0.0005978959 Education -0.007813500 0.004370448 -0.0163794202 AFTQ 0.010647282 0.003017536 0.0047330197 L.T. withdrawal due to family 0.034780083 0.006109382 0.0228059145 Life-time work experience 0.087011767 0.008504233 0.0703437772 Industrial sectors 0.002505315 0.005007162 -0.0073085415 (Intercept) 0.000000000 0.000000000 0.0000000000 ] Age, race, region, etc. 0.0183842895 Education 0.0007524207 AFTQ 0.0165615444 L.T. withdrawal due to family 0.0467542518 Life-time work experience 0.1036797565 Industrial sectors 0.0123191717 (Intercept) 0.0000000000 Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Bootstrapping standard errors... Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) Factor variables are normalized as proposed by Gardeazabal & Ugidos (2004) RIF regression decomposition of difference in gini between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Composition Effect: (X1 - X0) * b0 Structure Effect: X1 * (b1 - b0) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference -0.003169634 0.001195390 -0.005512555 -0.0008267133 Composition effect -0.001534863 0.002968172 -0.007352373 0.0042826468 Structure effect -0.001634771 0.003517166 -0.008528291 0.0052587482 Observed difference: Estimate Std. Error [ 95%-CI ] (Intercept) -0.0334085054 0.0260724647 -0.0845095972 0.017692586 age 0.0542731083 0.0290015472 -0.0025688797 0.111115096 central_city 0.0010876435 0.0017833425 -0.0024076436 0.004582931 msa -0.0010010136 0.0007009785 -0.0023749061 0.000372879 region -0.0004329243 0.0008313587 -0.0020623574 0.001196509 black -0.0012683146 0.0012885082 -0.0037937442 0.001257115 hispanic 0.0011308139 0.0015757029 -0.0019575069 0.004219135 education 0.0062170913 0.0048849144 -0.0033571651 0.015791348 afqt 0.0016880492 0.0033908988 -0.0049579905 0.008334089 family_responsibility 0.0064679484 0.0028693925 0.0008440425 0.012091854 years_worked_civilian -0.0397238379 0.0103153543 -0.0599415608 -0.019506115 years_worked_military -0.0032168065 0.0005465025 -0.0042879317 -0.002145681 part_time 0.0020923819 0.0016273770 -0.0010972185 0.005281982 industry 0.0029247315 0.0008299782 0.0012980041 0.004551459 Structure effect: Estimate Std. Error [ 95%-CI ] (Intercept) -0.0334085054 0.0260724647 -0.0845095972 0.0176925863 age 0.0551553270 0.0289892167 -0.0016624937 0.1119731477 central_city 0.0010421060 0.0018049392 -0.0024955099 0.0045797218 msa -0.0009827193 0.0007103399 -0.0023749598 0.0004095213 region -0.0002274394 0.0008446070 -0.0018828388 0.0014279600 black -0.0013317703 0.0013481341 -0.0039740645 0.0013105240 hispanic 0.0011378788 0.0015532117 -0.0019063601 0.0041821177 education 0.0045602292 0.0046982691 -0.0046482090 0.0137686673 afqt 0.0014757579 0.0034035014 -0.0051949823 0.0081464982 family_responsibility 0.0017238445 0.0010817326 -0.0003963125 0.0038440015 years_worked_civilian -0.0340909600 0.0108567668 -0.0553698319 -0.0128120880 years_worked_military -0.0016792700 0.0014936120 -0.0046066957 0.0012481557 part_time 0.0032270399 0.0013590637 0.0005633240 0.0058907559 industry 0.0017637098 0.0008174397 0.0001615574 0.0033658622 Composition effect: Estimate Std. Error [ 95%-CI ] (Intercept) 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 age -8.822186e-04 2.937927e-04 -1.458042e-03 -3.063954e-04 central_city 4.553755e-05 7.929743e-05 -1.098826e-04 2.009577e-04 msa -1.829431e-05 3.274621e-05 -8.247570e-05 4.588708e-05 region -2.054849e-04 9.879488e-05 -3.991193e-04 -1.185049e-05 black 6.345568e-05 1.410308e-04 -2.129596e-04 3.398710e-04 hispanic -7.064863e-06 8.298613e-05 -1.697147e-04 1.555850e-04 education 1.656862e-03 4.659597e-04 7.435978e-04 2.570126e-03 afqt 2.122912e-04 7.332825e-05 6.857049e-05 3.560119e-04 family_responsibility 4.744104e-03 2.086195e-03 6.552370e-04 8.832971e-03 years_worked_civilian -5.632878e-03 8.881636e-04 -7.373647e-03 -3.892109e-03 years_worked_military -1.537536e-03 1.131831e-03 -3.755885e-03 6.808118e-04 part_time -1.134658e-03 6.010943e-04 -2.312781e-03 4.346517e-05 industry 1.161022e-03 9.910520e-04 -7.814046e-04 3.103448e-03 RIF regression decomposition of difference in gini between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Composition Effect: (X1 - X0) * b0 Structure Effect: X1 * (b1 - b0) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference -0.003169634 0.001195390 -0.005512555 -0.0008267133 Composition effect -0.001534863 0.002968172 -0.007352373 0.0042826468 Structure effect -0.001634771 0.003517166 -0.008528291 0.0052587482 Specification error NA NA NA NA Reweighting error NA NA NA NA Observed difference: Estimate Std. Error (Intercept) -3.340851e-02 0.0260724647 age 5.427311e-02 0.0290015472 central_cityno 1.807197e-03 0.0031091693 central_cityyes -7.195533e-04 0.0013278098 msano 1.260033e-03 0.0009609353 msayes -2.261046e-03 0.0016591287 regionEast -6.418451e-04 0.0005708056 regionNorth-central -9.012177e-06 0.0005936989 regionSouth -9.540140e-04 0.0013125867 regionWest 1.171947e-03 0.0006758957 blackno -2.180898e-03 0.0021698311 blackyes 9.125838e-04 0.0008875255 hispanicno 1.493824e-03 0.0020607397 hispanicyes -3.630098e-04 0.0004878047 education10-12 yrs (no diploma or GED) 7.949864e-04 0.0006487691 education<10 yrs -1.263851e-04 0.0004615208 educationHS grad (diploma) 7.192542e-04 0.0020617980 educationHS grad (GED) 1.251851e-04 0.0005056029 educationSome college 3.649289e-03 0.0019838833 educationBA or equiv. degree 9.671771e-04 0.0010800216 educationMA or equiv. degree -3.182764e-04 0.0005399806 educationPh.D or prof. degree 4.058614e-04 0.0004578927 afqt 1.688049e-03 0.0033908988 family_responsibility 6.467948e-03 0.0028693925 years_worked_civilian -3.972384e-02 0.0103153543 years_worked_military -3.216806e-03 0.0005465025 part_time 2.092382e-03 0.0016273770 industryPrimary, Constr., Utilities -6.028740e-04 0.0005166658 industryManufacturing 1.859357e-05 0.0007300527 industryEducation, Health, Public Admin. 7.205246e-04 0.0010505336 industryOther services 2.788487e-03 0.0011652766 [ 95%-CI ] (Intercept) -0.0845095972 0.0176925863 age -0.0025688797 0.1111150963 central_cityno -0.0042866630 0.0079010566 central_cityyes -0.0033220126 0.0018829060 msano -0.0006233659 0.0031434314 msayes -0.0055128788 0.0009907862 regionEast -0.0017606035 0.0004769133 regionNorth-central -0.0011726406 0.0011546162 regionSouth -0.0035266367 0.0016186087 regionWest -0.0001527842 0.0024966781 blackno -0.0064336892 0.0020718925 blackyes -0.0008269343 0.0026521019 hispanicno -0.0025451518 0.0055327993 hispanicyes -0.0013190894 0.0005930698 education10-12 yrs (no diploma or GED) -0.0004765777 0.0020665505 education<10 yrs -0.0010309492 0.0007781790 educationHS grad (diploma) -0.0033217956 0.0047603040 educationHS grad (GED) -0.0008657783 0.0011161485 educationSome college -0.0002390512 0.0075376283 educationBA or equiv. degree -0.0011496264 0.0030839805 educationMA or equiv. degree -0.0013766190 0.0007400662 educationPh.D or prof. degree -0.0004915918 0.0013033146 afqt -0.0049579905 0.0083340888 family_responsibility 0.0008440425 0.0120918543 years_worked_civilian -0.0599415608 -0.0195061150 years_worked_military -0.0042879317 -0.0021456813 part_time -0.0010972185 0.0052819823 industryPrimary, Constr., Utilities -0.0016155203 0.0004097722 industryManufacturing -0.0014122835 0.0014494706 industryEducation, Health, Public Admin. -0.0013384835 0.0027795326 industryOther services 0.0005045872 0.0050723877 Structure effect: Estimate Std. Error (Intercept) -3.340851e-02 0.0260724647 age 5.515533e-02 0.0289892167 central_cityno 1.784428e-03 0.0031203195 central_cityyes -7.423221e-04 0.0013161937 msano 1.269180e-03 0.0009553876 msayes -2.251899e-03 0.0016643153 regionEast -6.786801e-04 0.0005693680 regionNorth-central 3.297509e-05 0.0005883181 regionSouth -7.764508e-04 0.0012958624 regionWest 1.194716e-03 0.0006578103 blackno -2.212626e-03 0.0022011926 blackyes 8.808559e-04 0.0008539472 hispanicno 1.497356e-03 0.0020498873 hispanicyes -3.594774e-04 0.0004973700 education10-12 yrs (no diploma or GED) 1.166864e-03 0.0007493185 education<10 yrs -9.118597e-05 0.0005836219 educationHS grad (diploma) 1.344900e-03 0.0021016084 educationHS grad (GED) 3.712075e-04 0.0005060970 educationSome college 1.345772e-03 0.0015178464 educationBA or equiv. degree 9.925120e-04 0.0011078896 educationMA or equiv. degree -1.685483e-04 0.0005076374 educationPh.D or prof. degree -4.012921e-04 0.0005222341 afqt 1.475758e-03 0.0034035014 family_responsibility 1.723844e-03 0.0010817326 years_worked_civilian -3.409096e-02 0.0108567668 years_worked_military -1.679270e-03 0.0014936120 part_time 3.227040e-03 0.0013590637 industryPrimary, Constr., Utilities -6.339786e-04 0.0006010086 industryManufacturing 3.172138e-05 0.0010349116 industryEducation, Health, Public Admin. -3.697826e-04 0.0004997926 industryOther services 2.735750e-03 0.0011463271 [ 95%-CI ] (Intercept) -8.450960e-02 0.0176925863 age -1.662494e-03 0.1119731477 central_cityno -4.331286e-03 0.0079001420 central_cityyes -3.322014e-03 0.0018373701 msano -6.033453e-04 0.0031417052 msayes -5.513897e-03 0.0010100988 regionEast -1.794621e-03 0.0004372607 regionNorth-central -1.120107e-03 0.0011860573 regionSouth -3.316294e-03 0.0017633927 regionWest -9.456804e-05 0.0024840009 blackno -6.526884e-03 0.0021016321 blackyes -7.928498e-04 0.0025545617 hispanicno -2.520349e-03 0.0055150614 hispanicyes -1.334305e-03 0.0006153499 education10-12 yrs (no diploma or GED) -3.017736e-04 0.0026355009 education<10 yrs -1.235064e-03 0.0010526920 educationHS grad (diploma) -2.774177e-03 0.0054639768 educationHS grad (GED) -6.207245e-04 0.0013631395 educationSome college -1.629152e-03 0.0043206967 educationBA or equiv. degree -1.178912e-03 0.0031639357 educationMA or equiv. degree -1.163499e-03 0.0008264028 educationPh.D or prof. degree -1.424852e-03 0.0006222680 afqt -5.194982e-03 0.0081464982 family_responsibility -3.963125e-04 0.0038440015 years_worked_civilian -5.536983e-02 -0.0128120880 years_worked_military -4.606696e-03 0.0012481557 part_time 5.633240e-04 0.0058907559 industryPrimary, Constr., Utilities -1.811934e-03 0.0005439765 industryManufacturing -1.996668e-03 0.0020601108 industryEducation, Health, Public Admin. -1.349358e-03 0.0006097929 industryOther services 4.889898e-04 0.0049825094 Composition effect: Estimate Std. Error (Intercept) 0.000000e+00 0.000000e+00 age -8.822186e-04 2.937927e-04 central_cityno 2.276878e-05 3.964872e-05 central_cityyes 2.276878e-05 3.964872e-05 msano -9.147155e-06 1.637310e-05 msayes -9.147155e-06 1.637310e-05 regionEast 3.683496e-05 2.950468e-05 regionNorth-central -4.198727e-05 8.699723e-05 regionSouth -1.775631e-04 8.140465e-05 regionWest -2.276944e-05 5.117318e-05 blackno 3.172784e-05 7.051540e-05 blackyes 3.172784e-05 7.051540e-05 hispanicno -3.532432e-06 4.149307e-05 hispanicyes -3.532432e-06 4.149307e-05 education10-12 yrs (no diploma or GED) -3.718773e-04 1.812265e-04 education<10 yrs -3.519910e-05 1.481033e-04 educationHS grad (diploma) -6.256459e-04 2.088646e-04 educationHS grad (GED) -2.460224e-04 1.112832e-04 educationSome college 2.303516e-03 4.836213e-04 educationBA or equiv. degree -2.533489e-05 1.122602e-04 educationMA or equiv. degree -1.497281e-04 1.167392e-04 educationPh.D or prof. degree 8.071535e-04 2.380596e-04 afqt 2.122912e-04 7.332825e-05 family_responsibility 4.744104e-03 2.086195e-03 years_worked_civilian -5.632878e-03 8.881636e-04 years_worked_military -1.537536e-03 1.131831e-03 part_time -1.134658e-03 6.010943e-04 industryPrimary, Constr., Utilities 3.110458e-05 1.103225e-04 industryManufacturing -1.312782e-05 3.946284e-04 industryEducation, Health, Public Admin. 1.090307e-03 6.571583e-04 industryOther services 5.273782e-05 4.201374e-05 [ 95%-CI ] (Intercept) 0.000000e+00 0.000000e+00 age -1.458042e-03 -3.063954e-04 central_cityno -5.494128e-05 1.004788e-04 central_cityyes -5.494128e-05 1.004788e-04 msano -4.123785e-05 2.294354e-05 msayes -4.123785e-05 2.294354e-05 regionEast -2.099316e-05 9.466307e-05 regionNorth-central -2.124987e-04 1.285242e-04 regionSouth -3.371133e-04 -1.801296e-05 regionWest -1.230670e-04 7.752814e-05 blackno -1.064798e-04 1.699355e-04 blackyes -1.064798e-04 1.699355e-04 hispanicno -8.485735e-05 7.779248e-05 hispanicyes -8.485735e-05 7.779248e-05 education10-12 yrs (no diploma or GED) -7.270747e-04 -1.667979e-05 education<10 yrs -3.254763e-04 2.550781e-04 educationHS grad (diploma) -1.035013e-03 -2.162788e-04 educationHS grad (GED) -4.641335e-04 -2.791130e-05 educationSome college 1.355636e-03 3.251397e-03 educationBA or equiv. degree -2.453608e-04 1.946910e-04 educationMA or equiv. degree -3.785328e-04 7.907658e-05 educationPh.D or prof. degree 3.405652e-04 1.273742e-03 afqt 6.857049e-05 3.560119e-04 family_responsibility 6.552370e-04 8.832971e-03 years_worked_civilian -7.373647e-03 -3.892109e-03 years_worked_military -3.755885e-03 6.808118e-04 part_time -2.312781e-03 4.346517e-05 industryPrimary, Constr., Utilities -1.851235e-04 2.473326e-04 industryManufacturing -7.865853e-04 7.603297e-04 industryEducation, Health, Public Admin. -1.976995e-04 2.378314e-03 industryOther services -2.960760e-05 1.350832e-04 RIF regression decomposition of difference in gini between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Composition Effect: (X1 - X0) * b0 Structure Effect: X1 * (b1 - b0) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference -0.003169634 0.001195390 -0.005512555 -0.0008267133 Composition effect -0.001534863 0.002968172 -0.007352373 0.0042826468 Structure effect -0.001634771 0.003517166 -0.008528291 0.0052587482 Observed difference: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.052051003 0.0289294299 -0.0046496372 Education 0.005422105 0.0044673064 -0.0033336548 AFTQ 0.001688049 0.0033908988 -0.0049579905 L.T. withdrawal due to family 0.006467948 0.0028693925 0.0008440425 Life-time work experience -0.040848262 0.0110293405 -0.0624653726 Industrial sectors 0.003527606 0.0009468742 0.0016717663 (Other variables) -0.031478083 0.0248509221 -0.0801849955 ] Age, race, region, etc. 0.108751644 Education 0.014177864 AFTQ 0.008334089 L.T. withdrawal due to family 0.012091854 Life-time work experience -0.019231152 Industrial sectors 0.005383445 (Other variables) 0.017228829 Structure effect: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.053133725 0.028909504 -0.0035278621 Education 0.003393366 0.004158467 -0.0047570796 AFTQ 0.001475758 0.003403501 -0.0051949823 L.T. withdrawal due to family 0.001723844 0.001081733 -0.0003963125 Life-time work experience -0.032543190 0.011538335 -0.0551579116 Industrial sectors 0.002397688 0.001135492 0.0001721642 (Other variables) -0.031215963 0.024833250 -0.0798882375 ] Age, race, region, etc. 0.109795312 Education 0.011543811 AFTQ 0.008146498 L.T. withdrawal due to family 0.003844001 Life-time work experience -0.009928468 Industrial sectors 0.004623213 (Other variables) 0.017456312 Composition effect: Estimate Std. Error [ 95%-CI Age, race, region, etc. -0.0010827215 2.618619e-04 -1.595961e-03 Education 0.0020287393 4.711032e-04 1.105394e-03 AFTQ 0.0002122912 7.332825e-05 6.857049e-05 L.T. withdrawal due to family 0.0047441039 2.086195e-03 6.552370e-04 Life-time work experience -0.0083050724 1.330865e-03 -1.091352e-02 Industrial sectors 0.0011299171 9.758148e-04 -7.826447e-04 (Other variables) -0.0002621207 2.651557e-04 -7.818163e-04 ] Age, race, region, etc. -0.0005694816 Education 0.0029520847 AFTQ 0.0003560119 L.T. withdrawal due to family 0.0088329707 Life-time work experience -0.0056966259 Industrial sectors 0.0030424789 (Other variables) 0.0002575750 Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Composition Effect: (X1 - X0) * b0 Structure Effect: X1 * (b1 - b0) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.23330029 0.01467856 0.20453084 0.2620697 Composition effect 0.13662204 0.01436636 0.10846450 0.1647796 Structure effect 0.09667825 0.01620718 0.06491276 0.1284437 Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.08594372 0.23308188 -0.54277581 0.37088838 Education 0.03455524 0.03428909 -0.03265015 0.10176063 AFTQ 0.01328642 0.02448010 -0.03469369 0.06126653 L.T. withdrawal due to family 0.03539103 0.01113502 0.01356680 0.05721527 Life-time work experience 0.18430254 0.06475938 0.05737649 0.31122858 Industrial sectors -0.07444105 0.03104930 -0.13529655 -0.01358554 (Intercept) 0.12614982 0.21276613 -0.29086412 0.54316376 Structure effect: Estimate Std. Error [ 95%-CI Age, race, region, etc. -0.0954348077 0.232463212 -0.551054332 Education 0.0423687364 0.033500826 -0.023291675 AFTQ 0.0026391395 0.025024772 -0.046408512 L.T. withdrawal due to family 0.0006109502 0.004124548 -0.007473014 Life-time work experience 0.0972907720 0.067319307 -0.034652646 Industrial sectors -0.0769463622 0.029059034 -0.133901023 (Intercept) 0.1261498186 0.212766125 -0.290864124 ] Age, race, region, etc. 0.360184716 Education 0.108029148 AFTQ 0.051686791 L.T. withdrawal due to family 0.008694915 Life-time work experience 0.229234190 Industrial sectors -0.019991701 (Intercept) 0.543163761 Composition effect: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.009491093 0.003177101 0.003264088 Education -0.007813500 0.004451048 -0.016537394 AFTQ 0.010647282 0.003414161 0.003955649 L.T. withdrawal due to family 0.034780083 0.008157603 0.018791476 Life-time work experience 0.087011767 0.009902973 0.067602297 Industrial sectors 0.002505315 0.005032601 -0.007358401 (Intercept) 0.000000000 0.000000000 0.000000000 ] Age, race, region, etc. 0.0157180970 Education 0.0009103941 AFTQ 0.0173389149 L.T. withdrawal due to family 0.0507686905 Life-time work experience 0.1064212370 Industrial sectors 0.0123690315 (Intercept) 0.0000000000 Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Composition Effect: (X1 - X0) * b0 Structure Effect: X1 * (b1 - b0) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.23330029 0.01467856 0.20453084 0.2620697 Composition effect 0.13662204 0.01436636 0.10846450 0.1647796 Structure effect 0.09667825 0.01620718 0.06491276 0.1284437 Observed difference: Estimate Std. Error [ 95%-CI (Intercept) 0.126149819 0.212766125 -0.2908641236 age -0.125897513 0.228555536 -0.5738581316 central_cityyes 0.004356765 0.014990240 -0.0250235657 msayes 0.033216297 0.030012333 -0.0256067949 regionNorth-central 0.012442142 0.008965613 -0.0051301370 regionSouth 0.019013607 0.014206951 -0.0088315059 regionWest 0.007054930 0.007593851 -0.0078287435 blackyes -0.020991875 0.009682647 -0.0399695147 hispanicyes -0.015138068 0.006531704 -0.0279399727 education<10 yrs 0.001395889 0.002804612 -0.0041010492 educationHS grad (diploma) -0.002904367 0.012547943 -0.0274978832 educationHS grad (GED) 0.002361284 0.003074121 -0.0036638814 educationSome college 0.007511933 0.011855773 -0.0157249543 educationBA or equiv. degree 0.016075839 0.008602576 -0.0007848996 educationMA or equiv. degree 0.002308340 0.004343384 -0.0062045375 educationPh.D or prof. degree 0.007806320 0.002730639 0.0024543654 afqt 0.013286422 0.024480097 -0.0346936866 family_responsibility 0.035391033 0.011135019 0.0135667972 years_worked_civilian 0.183501007 0.062292125 0.0614106863 years_worked_military 0.011295843 0.003067450 0.0052837514 part_time -0.010494312 0.008311316 -0.0267841918 industryManufacturing -0.008689109 0.007475619 -0.0233410542 industryEducation, Health, Public Admin. -0.030947494 0.011423375 -0.0533368987 industryOther services -0.034804444 0.016493234 -0.0671305887 ] (Intercept) 0.543163761 age 0.322063105 central_cityyes 0.033737096 msayes 0.092039390 regionNorth-central 0.030014420 regionSouth 0.046858720 regionWest 0.021938604 blackyes -0.002014235 hispanicyes -0.002336163 education<10 yrs 0.006892827 educationHS grad (diploma) 0.021689149 educationHS grad (GED) 0.008386450 educationSome college 0.030748820 educationBA or equiv. degree 0.032936577 educationMA or equiv. degree 0.010821217 educationPh.D or prof. degree 0.013158274 afqt 0.061266530 family_responsibility 0.057215269 years_worked_civilian 0.305591328 years_worked_military 0.017307935 part_time 0.005795569 industryManufacturing 0.005962836 industryEducation, Health, Public Admin. -0.008558090 industryOther services -0.002478298 Structure effect: Estimate Std. Error (Intercept) 0.1261498186 0.212766125 age -0.1329329410 0.227946397 central_cityyes 0.0052393921 0.014708603 msayes 0.0326996552 0.030050324 regionNorth-central 0.0129280966 0.008996906 regionSouth 0.0149506466 0.013658999 regionWest 0.0070086339 0.007817234 blackyes -0.0195333342 0.009173282 hispanicyes -0.0157949568 0.006723996 education<10 yrs 0.0033104735 0.003507025 educationHS grad (diploma) -0.0027536824 0.013090139 educationHS grad (GED) 0.0025105143 0.003391096 educationSome college 0.0149436978 0.010068130 educationBA or equiv. degree 0.0154621747 0.008032383 educationMA or equiv. degree 0.0073849544 0.002963280 educationPh.D or prof. degree 0.0015106042 0.001936292 afqt 0.0026391395 0.025024772 family_responsibility 0.0006109502 0.004124548 years_worked_civilian 0.1353739670 0.064102713 years_worked_military -0.0107598618 0.008189285 part_time -0.0273233332 0.005538986 industryManufacturing -0.0250414583 0.010335251 industryEducation, Health, Public Admin. -0.0160910769 0.005640281 industryOther services -0.0358138271 0.016748611 [ 95%-CI ] (Intercept) -0.2908641236 0.543163761 age -0.5796996691 0.313833787 central_cityyes -0.0235889398 0.034067724 msayes -0.0261978968 0.091597207 regionNorth-central -0.0047055147 0.030561708 regionSouth -0.0118205000 0.041721793 regionWest -0.0083128624 0.022330130 blackyes -0.0375126358 -0.001554033 hispanicyes -0.0289737476 -0.002616166 education<10 yrs -0.0035631690 0.010184116 educationHS grad (diploma) -0.0284098842 0.022902519 educationHS grad (GED) -0.0041359118 0.009156940 educationSome college -0.0047894741 0.034676870 educationBA or equiv. degree -0.0002810069 0.031205356 educationMA or equiv. degree 0.0015770325 0.013192876 educationPh.D or prof. degree -0.0022844580 0.005305666 afqt -0.0464085118 0.051686791 family_responsibility -0.0074730144 0.008694915 years_worked_civilian 0.0097349587 0.261012975 years_worked_military -0.0268105658 0.005290842 part_time -0.0381795455 -0.016467121 industryManufacturing -0.0452981782 -0.004784738 industryEducation, Health, Public Admin. -0.0271458237 -0.005036330 industryOther services -0.0686405006 -0.002987154 Composition effect: Estimate Std. Error (Intercept) 0.0000000000 0.0000000000 age 0.0070354275 0.0020066457 central_cityyes -0.0008826268 0.0013266239 msayes 0.0005166421 0.0016569558 regionNorth-central -0.0004859550 0.0013258275 regionSouth 0.0040629605 0.0022943817 regionWest 0.0000462964 0.0004443610 blackyes -0.0014585408 0.0009584860 hispanicyes 0.0006568887 0.0007468804 education<10 yrs -0.0019145848 0.0011993902 educationHS grad (diploma) -0.0001506849 0.0008615565 educationHS grad (GED) -0.0001492300 0.0005358624 educationSome college -0.0074317649 0.0025974530 educationBA or equiv. degree 0.0006136640 0.0027860706 educationMA or equiv. degree -0.0050766148 0.0024069731 educationPh.D or prof. degree 0.0062957156 0.0023375255 afqt 0.0106472820 0.0034141611 family_responsibility 0.0347800832 0.0081576026 years_worked_civilian 0.0481270404 0.0051009497 years_worked_military 0.0220557049 0.0071264159 part_time 0.0168290216 0.0042202078 industryManufacturing 0.0163523490 0.0043557465 industryEducation, Health, Public Admin. -0.0148564175 0.0068429759 industryOther services 0.0010093835 0.0013031512 [ 95%-CI ] (Intercept) 0.0000000000 0.0000000000 age 0.0031024743 0.0109683808 central_cityyes -0.0034827619 0.0017175084 msayes -0.0027309316 0.0037642158 regionNorth-central -0.0030845291 0.0021126191 regionSouth -0.0004339450 0.0085598660 regionWest -0.0008246351 0.0009172279 blackyes -0.0033371388 0.0004200572 hispanicyes -0.0008069699 0.0021207473 education<10 yrs -0.0042653463 0.0004361768 educationHS grad (diploma) -0.0018393046 0.0015379347 educationHS grad (GED) -0.0011995010 0.0009010410 educationSome college -0.0125226791 -0.0023408507 educationBA or equiv. degree -0.0048469340 0.0060742621 educationMA or equiv. degree -0.0097941955 -0.0003590342 educationPh.D or prof. degree 0.0017142498 0.0108771815 afqt 0.0039556492 0.0173389149 family_responsibility 0.0187914758 0.0507686905 years_worked_civilian 0.0381293626 0.0581247181 years_worked_military 0.0080881864 0.0360232235 part_time 0.0085575664 0.0251004768 industryManufacturing 0.0078152429 0.0248894552 industryEducation, Health, Public Admin. -0.0282684037 -0.0014444312 industryOther services -0.0015447458 0.0035635129 'Doubly robust' Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Group C: female == 'yes' (reference group) reweighted to match the characteristics of the other group (2654 observations). Pure Composition Effect: (XC - X0) * b0 Pure Structure Effect: XC * (bC - b0) Specification Error: (X1 - XC) * bC Reweighting Error: X1 * (b1 - bC) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.233300287 NA NA NA Composition effect 0.004275078 NA NA NA Structure effect 0.106182409 NA NA NA Specification error 0.014673250 NA NA NA Reweighting error 0.108169550 NA NA NA Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.08594372 NA NA NA Education 0.03455524 NA NA NA AFTQ 0.01328642 NA NA NA L.T. withdrawal due to family 0.03539103 NA NA NA Life-time work experience 0.18430254 NA NA NA Industrial sectors -0.07444105 NA NA NA (Intercept) 0.12614982 NA NA NA Pure structure effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.112618727 NA NA NA Education 0.035778940 NA NA NA AFTQ -0.009200378 NA NA NA L.T. withdrawal due to family -0.004929311 NA NA NA Life-time work experience 0.173683567 NA NA NA Industrial sectors -0.048037349 NA NA NA (Intercept) 0.071505667 NA NA NA Pure composition effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.003272939 NA NA NA Education -0.016360512 NA NA NA AFTQ -0.007133807 NA NA NA L.T. withdrawal due to family 0.003553898 NA NA NA Life-time work experience 0.023964917 NA NA NA Industrial sectors 0.003523522 NA NA NA (Intercept) 0.000000000 NA NA NA Specification error: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.016150406 NA NA NA Education 0.007456291 NA NA NA AFTQ 0.010623564 NA NA NA L.T. withdrawal due to family 0.021645293 NA NA NA Life-time work experience -0.066555184 NA NA NA Industrial sectors -0.029291272 NA NA NA (Intercept) 0.054644152 NA NA NA Reweighting error: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.013797545 NA NA NA Education 0.007680517 NA NA NA AFTQ 0.018997043 NA NA NA L.T. withdrawal due to family 0.015121154 NA NA NA Life-time work experience 0.053209239 NA NA NA Industrial sectors -0.000635948 NA NA NA (Intercept) 0.000000000 NA NA NA Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 0.002062369 10%-quantile 0.142919584 25%-quantile 0.358111396 50%-quantile 0.622508946 75%-quantile 1.464184636 90%-quantile 2.138628165 Max. 4.287571631 'Doubly robust' Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Group C: female == 'yes' (reference group) reweighted to match the characteristics of the other group (2654 observations). Pure Composition Effect: (XC - X0) * b0 Pure Structure Effect: XC * (bC - b0) Specification Error: (X1 - XC) * bC Reweighting Error: X1 * (b1 - bC) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.233300287 NA NA NA Composition effect 0.004275078 NA NA NA Structure effect 0.106182409 NA NA NA Specification error 0.014673250 NA NA NA Reweighting error 0.108169550 NA NA NA Observed difference: Estimate Std. Error [ 95%-CI ] (Intercept) 0.126149819 NA NA NA age -0.125897513 NA NA NA central_cityyes 0.004356765 NA NA NA msayes 0.033216297 NA NA NA regionNorth-central 0.012442142 NA NA NA regionSouth 0.019013607 NA NA NA regionWest 0.007054930 NA NA NA blackyes -0.020991875 NA NA NA hispanicyes -0.015138068 NA NA NA education<10 yrs 0.001395889 NA NA NA educationHS grad (diploma) -0.002904367 NA NA NA educationHS grad (GED) 0.002361284 NA NA NA educationSome college 0.007511933 NA NA NA educationBA or equiv. degree 0.016075839 NA NA NA educationMA or equiv. degree 0.002308340 NA NA NA educationPh.D or prof. degree 0.007806320 NA NA NA afqt 0.013286422 NA NA NA family_responsibility 0.035391033 NA NA NA years_worked_civilian 0.183501007 NA NA NA years_worked_military 0.011295843 NA NA NA part_time -0.010494312 NA NA NA industryManufacturing -0.008689109 NA NA NA industryEducation, Health, Public Admin. -0.030947494 NA NA NA industryOther services -0.034804444 NA NA NA Pure structure effect: Estimate Std. Error [ 95%-CI ] (Intercept) 0.071505667 NA NA NA age -0.139130995 NA NA NA central_cityyes -0.001328529 NA NA NA msayes 0.018278001 NA NA NA regionNorth-central 0.015738924 NA NA NA regionSouth 0.020546812 NA NA NA regionWest 0.005042540 NA NA NA blackyes -0.019044681 NA NA NA hispanicyes -0.012720798 NA NA NA education<10 yrs 0.006216187 NA NA NA educationHS grad (diploma) -0.002648929 NA NA NA educationHS grad (GED) 0.002900657 NA NA NA educationSome college 0.012590835 NA NA NA educationBA or equiv. degree 0.007110095 NA NA NA educationMA or equiv. degree 0.007164948 NA NA NA educationPh.D or prof. degree 0.002445147 NA NA NA afqt -0.009200378 NA NA NA family_responsibility -0.004929311 NA NA NA years_worked_civilian 0.180612705 NA NA NA years_worked_military -0.002156687 NA NA NA part_time -0.004772451 NA NA NA industryManufacturing -0.015181786 NA NA NA industryEducation, Health, Public Admin. -0.008475918 NA NA NA industryOther services -0.024379644 NA NA NA Pure composition effect: Estimate Std. Error [ 95%-CI ] (Intercept) 0.0000000000 NA NA NA age 0.0035011195 NA NA NA central_cityyes -0.0009582863 NA NA NA msayes 0.0009166033 NA NA NA regionNorth-central 0.0006149538 NA NA NA regionSouth -0.0075419374 NA NA NA regionWest -0.0001128766 NA NA NA blackyes 0.0006751364 NA NA NA hispanicyes -0.0003676516 NA NA NA education<10 yrs -0.0004589964 NA NA NA educationHS grad (diploma) -0.0002434617 NA NA NA educationHS grad (GED) -0.0000760437 NA NA NA educationSome college -0.0025630263 NA NA NA educationBA or equiv. degree -0.0056781481 NA NA NA educationMA or equiv. degree -0.0054570460 NA NA NA educationPh.D or prof. degree -0.0018837897 NA NA NA afqt -0.0071338072 NA NA NA family_responsibility 0.0035538977 NA NA NA years_worked_civilian 0.0065776388 NA NA NA years_worked_military 0.0010540148 NA NA NA part_time 0.0163332630 NA NA NA industryManufacturing 0.0169912485 NA NA NA industryEducation, Health, Public Admin. -0.0147227641 NA NA NA industryOther services 0.0012550372 NA NA NA Specification error: Estimate Std. Error [ 95%-CI ] (Intercept) 0.0546441516 NA NA NA age 0.0062179343 NA NA NA central_cityyes 0.0065503792 NA NA NA msayes 0.0144963791 NA NA NA regionNorth-central -0.0026943423 NA NA NA regionSouth -0.0065987421 NA NA NA regionWest 0.0015572503 NA NA NA blackyes -0.0005731086 NA NA NA hispanicyes -0.0028053443 NA NA NA education<10 yrs -0.0020225701 NA NA NA educationHS grad (diploma) -0.0001101186 NA NA NA educationHS grad (GED) -0.0003540027 NA NA NA educationSome college 0.0028582361 NA NA NA educationBA or equiv. degree 0.0071367970 NA NA NA educationMA or equiv. degree 0.0002149023 NA NA NA educationPh.D or prof. degree -0.0002669526 NA NA NA afqt 0.0106235644 NA NA NA family_responsibility 0.0216452927 NA NA NA years_worked_civilian -0.0415961047 NA NA NA years_worked_military -0.0012612677 NA NA NA part_time -0.0236978114 NA NA NA industryManufacturing -0.0100500677 NA NA NA industryEducation, Health, Public Admin. -0.0077353677 NA NA NA industryOther services -0.0115058366 NA NA NA Reweighting error: Estimate Std. Error [ 95%-CI ] (Intercept) 0.000000e+00 NA NA NA age 3.514428e-03 NA NA NA central_cityyes 9.320146e-05 NA NA NA msayes -4.746859e-04 NA NA NA regionNorth-central -1.217393e-03 NA NA NA regionSouth 1.260747e-02 NA NA NA regionWest 5.680165e-04 NA NA NA blackyes -2.049221e-03 NA NA NA hispanicyes 7.557256e-04 NA NA NA education<10 yrs -2.338732e-03 NA NA NA educationHS grad (diploma) 9.814166e-05 NA NA NA educationHS grad (GED) -1.093266e-04 NA NA NA educationSome college -5.374111e-03 NA NA NA educationBA or equiv. degree 7.507095e-03 NA NA NA educationMA or equiv. degree 3.855352e-04 NA NA NA educationPh.D or prof. degree 7.511915e-03 NA NA NA afqt 1.899704e-02 NA NA NA family_responsibility 1.512115e-02 NA NA NA years_worked_civilian 3.790677e-02 NA NA NA years_worked_military 1.365978e-02 NA NA NA part_time 1.642688e-03 NA NA NA industryManufacturing -4.485037e-04 NA NA NA industryEducation, Health, Public Admin. -1.344411e-05 NA NA NA industryOther services -1.740001e-04 NA NA NA Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 0.002062369 10%-quantile 0.142919584 25%-quantile 0.358111396 50%-quantile 0.622508946 75%-quantile 1.464184636 90%-quantile 2.138628165 Max. 4.287571631 The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Bootstrapping standard errors... 'Doubly robust' Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Group C: female == 'yes' (reference group) reweighted to match the characteristics of the other group (2654 observations). Pure Composition Effect: (XC - X0) * b0 Pure Structure Effect: XC * (bC - b0) Specification Error: (X1 - XC) * bC Reweighting Error: X1 * (b1 - bC) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.2333002869 0.01655601 0.20085111 0.26574947 Composition effect 0.1676565398 0.02590724 0.11687928 0.21843380 Structure effect 0.1006792206 0.01407108 0.07310041 0.12825803 Specification error -0.0009443692 0.01155562 -0.02359297 0.02170423 Reweighting error -0.0340911044 0.02207362 -0.07735460 0.00917239 Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.08594372 0.28494868 -0.64443286 0.47254543 Education 0.03455524 0.04165784 -0.04709262 0.11620309 AFTQ 0.01328642 0.02589564 -0.03746811 0.06404095 L.T. withdrawal due to family 0.03539103 0.01171868 0.01242285 0.05835922 Life-time work experience 0.18430254 0.04343609 0.09916936 0.26943571 Industrial sectors -0.07444105 0.02316985 -0.11985313 -0.02902897 (Intercept) 0.12614982 0.28335242 -0.42921072 0.68151036 Pure structure effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.672075538 0.376499819 -1.410001623 0.06585055 Education 0.051151026 0.052860440 -0.052453534 0.15475558 AFTQ -0.035217807 0.041115139 -0.115801999 0.04536639 L.T. withdrawal due to family 0.009298074 0.009281083 -0.008892515 0.02748866 Life-time work experience 0.343294307 0.131465620 0.085626428 0.60096219 Industrial sectors -0.141023261 0.056760036 -0.252270886 -0.02977564 (Intercept) 0.545252419 0.362189005 -0.164624987 1.25512983 Pure composition effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.002501961 0.004945175 -0.007190404 0.01219433 Education 0.001061635 0.007442287 -0.013524979 0.01564825 AFTQ 0.021321649 0.003909990 0.013658210 0.02898509 L.T. withdrawal due to family 0.034093406 0.009412930 0.015644402 0.05254241 Life-time work experience 0.103616424 0.014216625 0.075752350 0.13148050 Industrial sectors 0.005061465 0.006554788 -0.007785683 0.01790861 (Intercept) 0.000000000 0.000000000 0.000000000 0.00000000 Specification error: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.576603316 0.576603316 -0.553518417 Education -0.006711150 -0.006711150 0.006442462 AFTQ 0.040191008 0.040191008 -0.038581920 L.T. withdrawal due to family -0.009242441 -0.009242441 0.008872410 Life-time work experience -0.251254307 -0.251254307 0.241195086 Industrial sectors 0.068571805 0.068571805 -0.065826463 (Intercept) -0.419102601 -0.419102601 0.402323403 ] Age, race, region, etc. 1.70672505 Education -0.01986476 AFTQ 0.11896394 L.T. withdrawal due to family -0.02735729 Life-time work experience -0.74370370 Industrial sectors 0.20297007 (Intercept) -1.24052860 Reweighting error: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.007026545 0.007026545 -0.00674523 Education -0.010946274 -0.010946274 0.01050803 AFTQ -0.013008428 -0.013008428 0.01248762 L.T. withdrawal due to family 0.001241994 0.001241994 -0.00119227 Life-time work experience -0.011353885 -0.011353885 0.01089932 Industrial sectors -0.007051056 -0.007051056 0.00676876 (Intercept) 0.000000000 0.000000000 0.00000000 ] Age, race, region, etc. 0.020798321 Education -0.032400578 AFTQ -0.038504479 L.T. withdrawal due to family 0.003676258 Life-time work experience -0.033607092 Industrial sectors -0.020870872 (Intercept) 0.000000000 Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 2.305898e-03 10%-quantile 4.926871e-02 25%-quantile 1.143785e-01 50%-quantile 3.580739e-01 75%-quantile 1.152471e+00 90%-quantile 2.665421e+00 Max. 1.335400e+02 'Doubly robust' Oaxaca-Blinder decomposition of mean difference between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Group C: female == 'yes' (reference group) reweighted to match the characteristics of the other group (2654 observations). Pure Composition Effect: (XC - X0) * b0 Pure Structure Effect: XC * (bC - b0) Specification Error: (X1 - XC) * bC Reweighting Error: X1 * (b1 - bC) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.2333002869 0.01655601 0.20085111 0.26574947 Composition effect 0.1676565398 0.02590724 0.11687928 0.21843380 Structure effect 0.1006792206 0.01407108 0.07310041 0.12825803 Specification error -0.0009443692 0.01155562 -0.02359297 0.02170423 Reweighting error -0.0340911044 0.02207362 -0.07735460 0.00917239 Observed difference: Estimate Std. Error [ 95%-CI (Intercept) 0.126149819 0.283352422 -0.4292107239 age -0.125897513 0.282504272 -0.6795957118 central_cityyes 0.004356765 0.008191700 -0.0116986707 msayes 0.033216297 0.017028939 -0.0001598103 regionNorth-central 0.012442142 0.010891315 -0.0089044440 regionSouth 0.019013607 0.011695039 -0.0039082476 regionWest 0.007054930 0.006444160 -0.0055753916 blackyes -0.020991875 0.009426305 -0.0394670937 hispanicyes -0.015138068 0.005777346 -0.0264614579 education<10 yrs 0.001395889 0.002926842 -0.0043406166 educationHS grad (diploma) -0.002904367 0.015435832 -0.0331580418 educationHS grad (GED) 0.002361284 0.002065192 -0.0016864169 educationSome college 0.007511933 0.013541244 -0.0190284168 educationBA or equiv. degree 0.016075839 0.010939988 -0.0053661440 educationMA or equiv. degree 0.002308340 0.002964185 -0.0035013564 educationPh.D or prof. degree 0.007806320 0.003280932 0.0013758111 afqt 0.013286422 0.025895643 -0.0374681067 family_responsibility 0.035391033 0.011718677 0.0124228488 years_worked_civilian 0.183501007 0.044033519 0.0971968967 years_worked_military 0.011295843 0.002600445 0.0061990649 part_time -0.010494312 0.009487612 -0.0290896903 industryManufacturing -0.008689109 0.005923649 -0.0202992477 industryEducation, Health, Public Admin. -0.030947494 0.009201481 -0.0489820656 industryOther services -0.034804444 0.011397421 -0.0571429783 ] (Intercept) 0.681510361 age 0.427800685 central_cityyes 0.020412201 msayes 0.066592405 regionNorth-central 0.033788727 regionSouth 0.041935462 regionWest 0.019685252 blackyes -0.002516656 hispanicyes -0.003814678 education<10 yrs 0.007132394 educationHS grad (diploma) 0.027349307 educationHS grad (GED) 0.006408985 educationSome college 0.034052283 educationBA or equiv. degree 0.037517821 educationMA or equiv. degree 0.008118036 educationPh.D or prof. degree 0.014236829 afqt 0.064040950 family_responsibility 0.058359218 years_worked_civilian 0.269805118 years_worked_military 0.016392621 part_time 0.008101067 industryManufacturing 0.002921029 industryEducation, Health, Public Admin. -0.012912923 industryOther services -0.012465909 Pure structure effect: Estimate Std. Error [ 95%-CI (Intercept) 0.545252419 0.362189005 -1.646250e-01 age -0.675410290 0.407252597 -1.473611e+00 central_cityyes -0.001542316 0.017214218 -3.528156e-02 msayes -0.008926067 0.030906225 -6.950116e-02 regionNorth-central 0.022708278 0.009836424 3.429241e-03 regionSouth 0.048896656 0.020323028 9.064254e-03 regionWest 0.005840416 0.012322261 -1.831077e-02 blackyes -0.035433947 0.010391961 -5.580182e-02 hispanicyes -0.028208270 0.011538565 -5.082344e-02 education<10 yrs 0.012267670 0.004216599 4.003288e-03 educationHS grad (diploma) -0.007640547 0.023708688 -5.410872e-02 educationHS grad (GED) 0.006087625 0.004575986 -2.881142e-03 educationSome college 0.019548781 0.016634191 -1.305363e-02 educationBA or equiv. degree 0.008604929 0.011918462 -1.475483e-02 educationMA or equiv. degree 0.007490101 0.003843507 -4.303383e-05 educationPh.D or prof. degree 0.004792467 0.001917072 1.035074e-03 afqt -0.035217807 0.041115139 -1.158020e-01 family_responsibility 0.009298074 0.009281083 -8.892515e-03 years_worked_civilian 0.362007725 0.133815536 9.973409e-02 years_worked_military -0.002783595 0.012227149 -2.674837e-02 part_time -0.015929823 0.009723883 -3.498828e-02 industryManufacturing -0.036500612 0.019394003 -7.451216e-02 industryEducation, Health, Public Admin. -0.022094760 0.007738181 -3.726132e-02 industryOther services -0.082427888 0.031233122 -1.436437e-01 ] (Intercept) 1.255129826 age 0.122790132 central_cityyes 0.032196932 msayes 0.051649022 regionNorth-central 0.041987316 regionSouth 0.088729058 regionWest 0.029991603 blackyes -0.015066077 hispanicyes -0.005593097 education<10 yrs 0.020532052 educationHS grad (diploma) 0.038827627 educationHS grad (GED) 0.015056393 educationSome college 0.052151197 educationBA or equiv. degree 0.031964686 educationMA or equiv. degree 0.015023235 educationPh.D or prof. degree 0.008549859 afqt 0.045366385 family_responsibility 0.027488663 years_worked_civilian 0.624281355 years_worked_military 0.021181176 part_time 0.003128637 industryManufacturing 0.001510934 industryEducation, Health, Public Admin. -0.006928204 industryOther services -0.021212095 Pure composition effect: Estimate Std. Error (Intercept) 0.000000e+00 0.0000000000 age 3.615334e-03 0.0047335316 central_cityyes -6.312288e-04 0.0023576577 msayes 2.768105e-03 0.0028692580 regionNorth-central 7.220499e-04 0.0025426729 regionSouth -4.008692e-03 0.0047910791 regionWest -3.753815e-05 0.0005496388 blackyes -1.502113e-03 0.0011407281 hispanicyes 1.576044e-03 0.0023241126 education<10 yrs -2.729302e-04 0.0005064219 educationHS grad (diploma) -2.572142e-04 0.0022500558 educationHS grad (GED) 2.970151e-05 0.0005612902 educationSome college -3.162396e-03 0.0028820119 educationBA or equiv. degree -6.116342e-04 0.0043373486 educationMA or equiv. degree -4.559438e-03 0.0025021270 educationPh.D or prof. degree 9.895546e-03 0.0059181906 afqt 2.132165e-02 0.0039099898 family_responsibility 3.409341e-02 0.0094129301 years_worked_civilian 3.478173e-02 0.0186007370 years_worked_military 5.294669e-02 0.0290720099 part_time 1.588800e-02 0.0043154168 industryManufacturing 1.506228e-02 0.0037973956 industryEducation, Health, Public Admin. -1.562323e-02 0.0065620797 industryOther services 5.622413e-03 0.0035171460 [ 95%-CI ] (Intercept) 0.000000000 0.0000000000 age -0.005662217 0.0128928853 central_cityyes -0.005252153 0.0039896953 msayes -0.002855538 0.0083917470 regionNorth-central -0.004261497 0.0057055972 regionSouth -0.013399034 0.0053816508 regionWest -0.001114810 0.0010397341 blackyes -0.003737899 0.0007336730 hispanicyes -0.002979133 0.0061312210 education<10 yrs -0.001265499 0.0007196385 educationHS grad (diploma) -0.004667242 0.0041528140 educationHS grad (GED) -0.001070407 0.0011298100 educationSome college -0.008811035 0.0024862439 educationBA or equiv. degree -0.009112681 0.0078894128 educationMA or equiv. degree -0.009463517 0.0003446405 educationPh.D or prof. degree -0.001703894 0.0214949866 afqt 0.013658210 0.0289850880 family_responsibility 0.015644402 0.0525424099 years_worked_civilian -0.001675040 0.0712385092 years_worked_military -0.004033405 0.1099267795 part_time 0.007429941 0.0243460637 industryManufacturing 0.007619525 0.0225050422 industryEducation, Health, Public Admin. -0.028484671 -0.0027617918 industryOther services -0.001271066 0.0125158929 Specification error: Estimate Std. Error [ 95%-CI (Intercept) -0.4191026009 0.256595136 -0.922019826 age 0.5441611310 0.371055233 -0.183093763 central_cityyes 0.0068418926 0.015907480 -0.024336195 msayes 0.0428398323 0.033844842 -0.023494839 regionNorth-central -0.0093354493 0.011344131 -0.031569537 regionSouth -0.0381759757 0.016825215 -0.071152791 regionWest 0.0010402708 0.009101577 -0.016798493 blackyes 0.0158444917 0.006923562 0.002274559 hispanicyes 0.0133871228 0.012175090 -0.010475615 education<10 yrs -0.0058868049 0.002667011 -0.011114050 educationHS grad (diploma) 0.0051742437 0.013268227 -0.020831004 educationHS grad (GED) -0.0027669757 0.002959507 -0.008567502 educationSome college -0.0054724446 0.008628145 -0.022383298 educationBA or equiv. degree 0.0066629341 0.006827530 -0.006718779 educationMA or equiv. degree -0.0001084623 0.002813899 -0.005623602 educationPh.D or prof. degree -0.0043136399 0.001448288 -0.007152233 afqt 0.0401910080 0.035477475 -0.029343566 family_responsibility -0.0092424407 0.008797901 -0.026486010 years_worked_civilian -0.2207724665 0.134821368 -0.485017492 years_worked_military -0.0179884157 0.022892212 -0.062856327 part_time -0.0124934248 0.005333771 -0.022947425 industryManufacturing 0.0110123404 0.013345451 -0.015144262 industryEducation, Health, Public Admin. 0.0054599487 0.004356110 -0.003077869 industryOther services 0.0520995155 0.031419473 -0.009481520 ] (Intercept) 0.0838146245 age 1.2714160248 central_cityyes 0.0380199800 msayes 0.1091745039 regionNorth-central 0.0128986387 regionSouth -0.0051991602 regionWest 0.0188790347 blackyes 0.0294144243 hispanicyes 0.0372498605 education<10 yrs -0.0006595601 educationHS grad (diploma) 0.0311794916 educationHS grad (GED) 0.0030335511 educationSome college 0.0114384092 educationBA or equiv. degree 0.0200446471 educationMA or equiv. degree 0.0054066779 educationPh.D or prof. degree -0.0014750471 afqt 0.1097255817 family_responsibility 0.0080011285 years_worked_civilian 0.0434725585 years_worked_military 0.0268794960 part_time -0.0020394248 industryManufacturing 0.0371689433 industryEducation, Health, Public Admin. 0.0139977665 industryOther services 0.1136805504 Reweighting error: Estimate Std. Error (Intercept) 0.000000e+00 0.000000000 age 1.736311e-03 0.003511951 central_cityyes -3.115829e-04 0.002398596 msayes -3.465573e-03 0.003582292 regionNorth-central -1.652737e-03 0.002175697 regionSouth 1.230162e-02 0.006318166 regionWest 2.117816e-04 0.001620998 blackyes 9.969281e-05 0.002355187 hispanicyes -1.892965e-03 0.004064359 education<10 yrs -4.712046e-03 0.001314226 educationHS grad (diploma) -1.808500e-04 0.001381060 educationHS grad (GED) -9.890668e-04 0.002033373 educationSome college -3.402008e-03 0.002888092 educationBA or equiv. degree 1.419610e-03 0.002931099 educationMA or equiv. degree -5.138603e-04 0.001335177 educationPh.D or prof. degree -2.568053e-03 0.004283697 afqt -1.300843e-02 0.004942643 family_responsibility 1.241994e-03 0.002510810 years_worked_civilian 7.484014e-03 0.007102830 years_worked_military -2.087883e-02 0.016082404 part_time 2.040934e-03 0.001346380 industryManufacturing 1.736879e-03 0.003037660 industryEducation, Health, Public Admin. 1.310549e-03 0.001397936 industryOther services -1.009848e-02 0.006729200 [ 95%-CI ] (Intercept) 0.000000e+00 0.000000000 age -5.146986e-03 0.008619608 central_cityyes -5.012744e-03 0.004389578 msayes -1.048674e-02 0.003555590 regionNorth-central -5.917025e-03 0.002611550 regionSouth -8.176006e-05 0.024684997 regionWest -2.965317e-03 0.003388880 blackyes -4.516389e-03 0.004715775 hispanicyes -9.858962e-03 0.006073031 education<10 yrs -7.287882e-03 -0.002136210 educationHS grad (diploma) -2.887678e-03 0.002525978 educationHS grad (GED) -4.974404e-03 0.002996270 educationSome college -9.062564e-03 0.002258548 educationBA or equiv. degree -4.325239e-03 0.007164459 educationMA or equiv. degree -3.130759e-03 0.002103038 educationPh.D or prof. degree -1.096395e-02 0.005827839 afqt -2.269583e-02 -0.003321026 family_responsibility -3.679104e-03 0.006163092 years_worked_civilian -6.437277e-03 0.021405305 years_worked_military -5.239977e-02 0.010642099 part_time -5.979232e-04 0.004679791 industryManufacturing -4.216825e-03 0.007690583 industryEducation, Health, Public Admin. -1.429356e-03 0.004050454 industryOther services -2.328747e-02 0.003090505 Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 2.305898e-03 10%-quantile 4.926871e-02 25%-quantile 1.143785e-01 50%-quantile 3.580739e-01 75%-quantile 1.152471e+00 90%-quantile 2.665421e+00 Max. 1.335400e+02 The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Bootstrapping standard errors... Reweighted RIF regression decomposition of difference in variance between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Group C: female == 'yes' (reference group) reweighted to match the characteristics of the other group (2654 observations). Pure Composition Effect: (XC - X0) * b0 Pure Structure Effect: XC * (bC - b0) Specification Error: (X1 - XC) * bC Reweighting Error: X1 * (b1 - bC) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.03416073 0.011802928 0.011027414 0.057294043 Composition effect 0.02553613 0.009478071 0.006959449 0.044112806 Structure effect 0.03117177 0.011512770 0.008607152 0.053736380 Specification error -0.03583657 0.018941605 -0.072961432 0.001288294 Reweighting error 0.01328940 0.013876389 -0.013907819 0.040486626 Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.25468232 0.280248723 -0.29459508 0.80395972 Education -0.01173581 0.018849696 -0.04868054 0.02520891 AFTQ 0.01432342 0.018182160 -0.02131296 0.04995980 L.T. withdrawal due to family 0.03412017 0.009420366 0.01565659 0.05258375 Life-time work experience -0.17374924 0.045840815 -0.26359559 -0.08390289 Industrial sectors 0.02427374 0.022173093 -0.01918473 0.06773220 (Intercept) -0.10775387 0.266376751 -0.62984271 0.41433497 Pure structure effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.207258596 0.408627424 -0.593636438 1.008153629 Education 0.043877493 0.044636550 -0.043608538 0.131363523 AFTQ 0.030424075 0.030320383 -0.029002784 0.089850934 L.T. withdrawal due to family -0.007917376 0.006850725 -0.021344550 0.005509799 Life-time work experience -0.148329448 0.105946889 -0.355981535 0.059322639 Industrial sectors 0.062288379 0.031069258 0.001393752 0.123183006 (Intercept) -0.156429953 0.330242472 -0.803693304 0.490833397 Pure composition effect: Estimate Std. Error [ 95%-CI Age, race, region, etc. -0.0006274278 0.005977416 -0.0123429485 Education 0.0081655630 0.005656980 -0.0029219140 AFTQ 0.0062730508 0.001449105 0.0034328570 L.T. withdrawal due to family 0.0255443719 0.009279306 0.0073572670 Life-time work experience -0.0226693309 0.016779676 -0.0555568906 Industrial sectors 0.0088499006 0.004600729 -0.0001673634 (Intercept) 0.0000000000 0.000000000 0.0000000000 ] Age, race, region, etc. 0.011088093 Education 0.019253040 AFTQ 0.009113245 L.T. withdrawal due to family 0.043731477 Life-time work experience 0.010218229 Industrial sectors 0.017867165 (Intercept) 0.000000000 Specification error: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.046838961 0.046838961 -0.04496372 0.13864164 Education -0.070805348 -0.070805348 0.06797058 -0.20958128 AFTQ -0.020419011 -0.020419011 0.01960152 -0.06043954 L.T. withdrawal due to family 0.017000108 0.017000108 -0.01631949 0.05031971 Life-time work experience -0.009149707 -0.009149707 0.00878339 -0.02708280 Industrial sectors -0.047977653 -0.047977653 0.04605682 -0.14201212 (Intercept) 0.048676081 0.048676081 -0.04672729 0.14407945 Reweighting error: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.0012121923 0.0012121923 -0.0011636610 Education 0.0070264804 0.0070264804 -0.0067451682 AFTQ -0.0019546916 -0.0019546916 0.0018764335 L.T. withdrawal due to family -0.0005069333 -0.0005069333 0.0004866378 Life-time work experience 0.0063992450 0.0063992450 -0.0061430448 Industrial sectors 0.0011131108 0.0011131108 -0.0010685463 (Intercept) 0.0000000000 0.0000000000 0.0000000000 ] Age, race, region, etc. 0.003588046 Education 0.020798129 AFTQ -0.005785817 L.T. withdrawal due to family -0.001500504 Life-time work experience 0.018941535 Industrial sectors 0.003294768 (Intercept) 0.000000000 Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 2.305898e-03 10%-quantile 4.926871e-02 25%-quantile 1.143785e-01 50%-quantile 3.580739e-01 75%-quantile 1.152471e+00 90%-quantile 2.665421e+00 Max. 1.335400e+02 Reweighted RIF regression decomposition of difference in variance between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Group C: female == 'yes' (reference group) reweighted to match the characteristics of the other group (2654 observations). Pure Composition Effect: (XC - X0) * b0 Pure Structure Effect: XC * (bC - b0) Specification Error: (X1 - XC) * bC Reweighting Error: X1 * (b1 - bC) Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.03416073 0.011802928 0.011027414 0.057294043 Composition effect 0.02553613 0.009478071 0.006959449 0.044112806 Structure effect 0.03117177 0.011512770 0.008607152 0.053736380 Specification error -0.03583657 0.018941605 -0.072961432 0.001288294 Reweighting error 0.01328940 0.013876389 -0.013907819 0.040486626 Observed difference: Estimate Std. Error [ 95%-CI (Intercept) -0.1077538719 0.266376751 -0.629842710 age 0.2556377655 0.270026050 -0.273603568 central_cityyes -0.0063736695 0.013687235 -0.033200156 msayes -0.0203449481 0.026788382 -0.072849211 regionNorth-central 0.0058716475 0.007920844 -0.009652922 regionSouth 0.0065047157 0.017631977 -0.028053325 regionWest 0.0108194760 0.007004330 -0.002908758 blackyes 0.0069526995 0.007352529 -0.007457992 hispanicyes -0.0043853658 0.005257796 -0.014690456 education<10 yrs -0.0007639925 0.002174721 -0.005026368 educationHS grad (diploma) -0.0125520536 0.007684088 -0.027612589 educationHS grad (GED) -0.0009223749 0.001346629 -0.003561719 educationSome college -0.0019332847 0.008378382 -0.018354612 educationBA or equiv. degree 0.0025983389 0.005112814 -0.007422592 educationMA or equiv. degree -0.0026506148 0.003768911 -0.010037545 educationPh.D or prof. degree 0.0044881693 0.003421973 -0.002218775 afqt 0.0143234233 0.018182160 -0.021312956 family_responsibility 0.0341201714 0.009420366 0.015656594 years_worked_civilian -0.1681540281 0.041371543 -0.249240763 years_worked_military -0.0135241404 0.002529642 -0.018482148 part_time 0.0079289275 0.007450969 -0.006674704 industryManufacturing 0.0025949670 0.006066947 -0.009296030 industryEducation, Health, Public Admin. 0.0017658167 0.010042561 -0.017917241 industryOther services 0.0199129542 0.011291230 -0.002217449 ] (Intercept) 0.414334967 age 0.784879099 central_cityyes 0.020452817 msayes 0.032159315 regionNorth-central 0.021396217 regionSouth 0.041062757 regionWest 0.024547710 blackyes 0.021363391 hispanicyes 0.005919725 education<10 yrs 0.003498383 educationHS grad (diploma) 0.002508481 educationHS grad (GED) 0.001716970 educationSome college 0.014488043 educationBA or equiv. degree 0.012619270 educationMA or equiv. degree 0.004736315 educationPh.D or prof. degree 0.011195113 afqt 0.049959802 family_responsibility 0.052583749 years_worked_civilian -0.087067294 years_worked_military -0.008566132 part_time 0.022532559 industryManufacturing 0.014485964 industryEducation, Health, Public Admin. 0.021448874 industryOther services 0.042043358 Pure structure effect: Estimate Std. Error [ 95%-CI (Intercept) -0.156429953 0.330242472 -0.8036933039 age 0.134955227 0.421961629 -0.6920743699 central_cityyes 0.013419649 0.012297170 -0.0106823610 msayes 0.036473866 0.027330435 -0.0170928019 regionNorth-central 0.005047732 0.009573037 -0.0137150768 regionSouth -0.004284182 0.014271111 -0.0322550447 regionWest -0.007173106 0.008813069 -0.0244464030 blackyes 0.016034856 0.008374440 -0.0003787449 hispanicyes 0.012784554 0.003973679 0.0049962859 education<10 yrs -0.002010937 0.004414087 -0.0106623878 educationHS grad (diploma) 0.012763323 0.018196844 -0.0229018352 educationHS grad (GED) -0.002540949 0.003890819 -0.0101668152 educationSome college 0.017860457 0.013542372 -0.0086821055 educationBA or equiv. degree 0.008451833 0.009135173 -0.0094527757 educationMA or equiv. degree 0.004815659 0.003965164 -0.0029559195 educationPh.D or prof. degree 0.004538107 0.003538548 -0.0023973204 afqt 0.030424075 0.030320383 -0.0290027837 family_responsibility -0.007917376 0.006850725 -0.0213445497 years_worked_civilian -0.153169073 0.099971952 -0.3491104981 years_worked_military -0.005220865 0.008144634 -0.0211840549 part_time 0.010060491 0.006169260 -0.0020310365 industryManufacturing 0.004362207 0.011039512 -0.0172748386 industryEducation, Health, Public Admin. 0.007017822 0.005913829 -0.0045730694 industryOther services 0.050908350 0.015812373 0.0199166679 ] (Intercept) 0.490833397 age 0.961984823 central_cityyes 0.037521659 msayes 0.090040534 regionNorth-central 0.023810540 regionSouth 0.023686681 regionWest 0.010100192 blackyes 0.032448457 hispanicyes 0.020572822 education<10 yrs 0.006640514 educationHS grad (diploma) 0.048428481 educationHS grad (GED) 0.005084916 educationSome college 0.044403019 educationBA or equiv. degree 0.026356442 educationMA or equiv. degree 0.012587237 educationPh.D or prof. degree 0.011473534 afqt 0.089850934 family_responsibility 0.005509799 years_worked_civilian 0.042772351 years_worked_military 0.010742324 part_time 0.022152018 industryManufacturing 0.025999253 industryEducation, Health, Public Admin. 0.018608713 industryOther services 0.081900033 Pure composition effect: Estimate Std. Error (Intercept) 0.000000e+00 0.0000000000 age -1.432358e-03 0.0042356907 central_cityyes 2.035628e-05 0.0009911694 msayes 1.065750e-04 0.0018451569 regionNorth-central 5.397081e-04 0.0016699502 regionSouth -2.374444e-04 0.0012449074 regionWest 2.189650e-04 0.0009585536 blackyes 2.716938e-04 0.0006949263 hispanicyes -1.149238e-04 0.0010620451 education<10 yrs 1.656101e-04 0.0002380168 educationHS grad (diploma) -9.183004e-04 0.0017314666 educationHS grad (GED) 4.506763e-05 0.0002188210 educationSome college 1.072455e-03 0.0025620138 educationBA or equiv. degree -1.634198e-04 0.0008539175 educationMA or equiv. degree -2.360132e-03 0.0014953453 educationPh.D or prof. degree 1.032428e-02 0.0035532102 afqt 6.273051e-03 0.0014491051 family_responsibility 2.554437e-02 0.0092793057 years_worked_civilian -1.182884e-02 0.0072654485 years_worked_military -9.116915e-03 0.0202110451 part_time -1.723576e-03 0.0024375261 industryManufacturing 2.798997e-03 0.0023765028 industryEducation, Health, Public Admin. 4.104112e-03 0.0068271108 industryOther services 1.946792e-03 0.0027463499 [ 95%-CI ] (Intercept) 0.0000000000 0.0000000000 age -0.0097341590 0.0068694434 central_cityyes -0.0019223000 0.0019630126 msayes -0.0035098661 0.0037230161 regionNorth-central -0.0027333342 0.0038127504 regionSouth -0.0026774181 0.0022025293 regionWest -0.0016597656 0.0020976956 blackyes -0.0010903367 0.0016337243 hispanicyes -0.0021964939 0.0019666464 education<10 yrs -0.0003008943 0.0006321145 educationHS grad (diploma) -0.0043119126 0.0024753118 educationHS grad (GED) -0.0003838136 0.0004739489 educationSome college -0.0039490002 0.0060939095 educationBA or equiv. degree -0.0018370673 0.0015102277 educationMA or equiv. degree -0.0052909545 0.0005706912 educationPh.D or prof. degree 0.0033601183 0.0172884466 afqt 0.0034328570 0.0091132446 family_responsibility 0.0073572670 0.0437314768 years_worked_civilian -0.0260688575 0.0024111771 years_worked_military -0.0487298353 0.0304960058 part_time -0.0065010392 0.0030538874 industryManufacturing -0.0018588632 0.0074568566 industryEducation, Health, Public Admin. -0.0092767797 0.0174850029 industryOther services -0.0034359546 0.0073295391 Specification error: Estimate Std. Error [ 95%-CI (Intercept) 4.867608e-02 0.233690988 -0.409349839 age 1.238531e-01 0.288325359 -0.441254181 central_cityyes -1.999769e-02 0.010317810 -0.040220228 msayes -5.849654e-02 0.022835539 -0.103253371 regionNorth-central 1.133168e-03 0.005811387 -0.010256941 regionSouth 1.186264e-02 0.012438754 -0.012516869 regionWest 1.626245e-02 0.005795945 0.004902606 blackyes -9.312983e-03 0.006405850 -0.021868218 hispanicyes -1.846522e-02 0.009274698 -0.036643296 education<10 yrs 5.599594e-05 0.002100670 -0.004061241 educationHS grad (diploma) -2.623448e-02 0.018240889 -0.061985961 educationHS grad (GED) 1.427156e-03 0.002496686 -0.003466260 educationSome college -2.651688e-02 0.008502533 -0.043181536 educationBA or equiv. degree -5.846942e-03 0.008175716 -0.021871051 educationMA or equiv. degree -4.991030e-03 0.002480943 -0.009853589 educationPh.D or prof. degree -8.699174e-03 0.004324206 -0.017174461 afqt -2.041901e-02 0.025171399 -0.069754047 family_responsibility 1.700011e-02 0.007131313 0.003022992 years_worked_civilian 1.346706e-03 0.091639525 -0.178263462 years_worked_military -1.016098e-02 0.029283758 -0.067556090 part_time -3.354345e-04 0.006635539 -0.013340852 industryManufacturing -4.618574e-03 0.006252649 -0.016873541 industryEducation, Health, Public Admin. -8.325570e-03 0.002983921 -0.014173948 industryOther services -3.503351e-02 0.013133016 -0.060773747 ] (Intercept) 0.5067020023 age 0.6889604563 central_cityyes 0.0002248433 msayes -0.0137397043 regionNorth-central 0.0125232765 regionSouth 0.0362421499 regionWest 0.0276222950 blackyes 0.0032422522 hispanicyes -0.0002871491 education<10 yrs 0.0041732333 educationHS grad (diploma) 0.0095170080 educationHS grad (GED) 0.0063205713 educationSome college -0.0098522191 educationBA or equiv. degree 0.0101771669 educationMA or equiv. degree -0.0001284716 educationPh.D or prof. degree -0.0002238862 afqt 0.0289160253 family_responsibility 0.0309772247 years_worked_civilian 0.1809568745 years_worked_military 0.0472341312 part_time 0.0126699826 industryManufacturing 0.0076363932 industryEducation, Health, Public Admin. -0.0024771917 industryOther services -0.0092932716 Reweighting error: Estimate Std. Error (Intercept) 0.000000e+00 0.0000000000 age -1.738241e-03 0.0068714108 central_cityyes 1.840176e-04 0.0009142877 msayes 1.571149e-03 0.0011579446 regionNorth-central -8.489601e-04 0.0006940788 regionSouth -8.362985e-04 0.0035480351 regionWest 1.511166e-03 0.0026285319 blackyes -4.086737e-05 0.0015393080 hispanicyes 1.410227e-03 0.0046982616 education<10 yrs 1.025338e-03 0.0015246001 educationHS grad (diploma) 1.837400e-03 0.0054687383 educationHS grad (GED) 1.463510e-04 0.0009926395 educationSome college 5.650681e-03 0.0066958040 educationBA or equiv. degree 1.568673e-04 0.0009327579 educationMA or equiv. degree -1.151117e-04 0.0006529892 educationPh.D or prof. degree -1.675046e-03 0.0005170299 afqt -1.954692e-03 0.0025790471 family_responsibility -5.069333e-04 0.0008425064 years_worked_civilian -4.502821e-03 0.0144980042 years_worked_military 1.097462e-02 0.0314256347 part_time -7.255301e-05 0.0013029065 industryManufacturing 5.233690e-05 0.0012741756 industryEducation, Health, Public Admin. -1.030547e-03 0.0006706957 industryOther services 2.091321e-03 0.0033103890 [ 95%-CI ] (Intercept) 0.0000000000 0.0000000000 age -0.0152059586 0.0117294769 central_cityyes -0.0016079534 0.0019759887 msayes -0.0006983809 0.0038406783 regionNorth-central -0.0022093296 0.0005114094 regionSouth -0.0077903195 0.0061177226 regionWest -0.0036406618 0.0066629938 blackyes -0.0030578557 0.0029761209 hispanicyes -0.0077981967 0.0106186503 education<10 yrs -0.0019628231 0.0040134996 educationHS grad (diploma) -0.0088811297 0.0125559303 educationHS grad (GED) -0.0017991866 0.0020918887 educationSome college -0.0074728534 0.0187742159 educationBA or equiv. degree -0.0016713045 0.0019850391 educationMA or equiv. degree -0.0013949470 0.0011647236 educationPh.D or prof. degree -0.0026884059 -0.0006616861 afqt -0.0070095309 0.0031001478 family_responsibility -0.0021582156 0.0011443489 years_worked_civilian -0.0329183867 0.0239127453 years_worked_military -0.0506184935 0.0725677310 part_time -0.0026262028 0.0024810968 industryManufacturing -0.0024450014 0.0025496752 industryEducation, Health, Public Admin. -0.0023450864 0.0002839925 industryOther services -0.0043969224 0.0085795642 Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 2.305898e-03 10%-quantile 4.926871e-02 25%-quantile 1.143785e-01 50%-quantile 3.580739e-01 75%-quantile 1.152471e+00 90%-quantile 2.665421e+00 Max. 1.335400e+02 The same model specification is used in the linear decomposition model and in the conditional probability model used to compute the reweighting factors. Bootstrapping standard errors... Reweighted RIF regression decomposition of difference in quantiles between female == 'no' (group 1) and female == 'yes' (group 0). The reference group is 'yes'. Group 0: female == 'yes' (2654 observations) Group 1: female == 'no' (2655 observations) Group C: female == 'yes' (reference group) reweighted to match the characteristics of the other group (2654 observations). Pure Composition Effect: (XC - X0) * b0 Pure Structure Effect: XC * (bC - b0) Specification Error: (X1 - XC) * bC Reweighting Error: X1 * (b1 - bC) *** Quantile: 0.1 *** Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.138000804 0.01314137 0.1122442 0.16375741 Composition effect 0.119883640 0.02090198 0.0789165 0.16085078 Structure effect 0.050749320 0.03606782 -0.0199423 0.12144094 Specification error -0.006933729 0.07727937 -0.1583985 0.14453106 Reweighting error -0.025698427 0.05319736 -0.1299633 0.07856649 Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.644719134 0.39763286 -1.42406522 0.13462695 Education 0.070377341 0.07016825 -0.06714991 0.20790459 AFTQ -0.007994671 0.03013138 -0.06705109 0.05106175 L.T. withdrawal due to family -0.049222565 0.01492019 -0.07846560 -0.01997953 Life-time work experience 0.544142410 0.08543906 0.37668493 0.71159989 Industrial sectors 0.008992781 0.03945171 -0.06833116 0.08631672 (Intercept) 0.216424642 0.35817018 -0.48557601 0.91842529 Pure structure effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -1.94491846 1.08764790 -4.076669161 0.18683225 Education 0.03674800 0.09845134 -0.156213074 0.22970907 AFTQ -0.09401570 0.08308439 -0.256858115 0.06882672 L.T. withdrawal due to family 0.04240492 0.02489614 -0.006390617 0.09120046 Life-time work experience 1.04519344 0.37819933 0.303936376 1.78645051 Industrial sectors -0.30570997 0.10078451 -0.503243983 -0.10817596 (Intercept) 1.27104708 0.84587836 -0.386844050 2.92893820 Pure composition effect: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.003639587 0.010508746 -0.016957177 Education -0.002806617 0.004899495 -0.012409451 AFTQ 0.010855948 0.002604387 0.005751444 L.T. withdrawal due to family -0.034593486 0.011501351 -0.057135721 Life-time work experience 0.129353386 0.014504230 0.100925618 Industrial sectors 0.013434822 0.006306489 0.001074330 (Intercept) 0.000000000 0.000000000 0.000000000 ] Age, race, region, etc. 0.024236351 Education 0.006796217 AFTQ 0.015960452 L.T. withdrawal due to family -0.012051252 Life-time work experience 0.157781154 Industrial sectors 0.025795313 (Intercept) 0.000000000 Specification error: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 1.30027158 1.30027158 -1.24821389 3.8487571 Education 0.05690820 0.05690820 -0.05462982 0.1684462 AFTQ 0.08556932 0.08556932 -0.08214346 0.2532821 L.T. withdrawal due to family -0.05993856 -0.05993856 0.05753886 -0.1774160 Life-time work experience -0.64624603 -0.64624603 0.62037292 -1.9128650 Industrial sectors 0.31112420 0.31112420 -0.29866803 0.9209164 (Intercept) -1.05462243 -1.05462243 1.01239955 -3.1216444 Reweighting error: Estimate Std. Error [ 95%-CI Age, race, region, etc. -0.003711850 -0.003711850 0.003563242 Education -0.020472240 -0.020472240 0.019652613 AFTQ -0.010404240 -0.010404240 0.009987696 L.T. withdrawal due to family 0.002904562 0.002904562 -0.002788275 Life-time work experience 0.015841615 0.015841615 -0.015207380 Industrial sectors -0.009856275 -0.009856275 0.009461669 (Intercept) 0.000000000 0.000000000 0.000000000 ] Age, race, region, etc. -0.010986942 Education -0.060597092 AFTQ -0.030796176 L.T. withdrawal due to family 0.008597399 Life-time work experience 0.046890609 Industrial sectors -0.029174218 (Intercept) 0.000000000 Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 2.305898e-03 10%-quantile 4.926871e-02 25%-quantile 1.143785e-01 50%-quantile 3.580739e-01 75%-quantile 1.152471e+00 90%-quantile 2.665421e+00 Max. 1.335400e+02 *** Quantile: 0.5 *** Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.25465244 0.01927594 0.21687228 0.292432591 Composition effect 0.20821230 0.03111159 0.14723471 0.269189885 Structure effect 0.08772027 0.03750990 0.01420221 0.161238326 Specification error 0.01582335 0.02707952 -0.03725153 0.068898230 Reweighting error -0.05710348 0.03084815 -0.11756475 0.003357789 Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.149311058 0.28455600 -0.408408460 0.70703058 Education 0.026483048 0.04496416 -0.061645079 0.11461117 AFTQ 0.009729524 0.02677964 -0.042757612 0.06221666 L.T. withdrawal due to family 0.042692620 0.01754754 0.008300072 0.07708517 Life-time work experience 0.045622288 0.06327638 -0.078397138 0.16964171 Industrial sectors -0.161101053 0.05241304 -0.263828726 -0.05837338 (Intercept) 0.141914952 0.22346886 -0.296075970 0.57990587 Pure structure effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.85047795 0.41461555 -1.66310949 -0.03784642 Education 0.01804400 0.06222200 -0.10390887 0.13999687 AFTQ 0.02314859 0.08156038 -0.13670682 0.18300400 L.T. withdrawal due to family 0.01273251 0.01247491 -0.01171786 0.03718288 Life-time work experience 0.34600362 0.14442471 0.06293639 0.62907084 Industrial sectors -0.14854149 0.06534815 -0.27662150 -0.02046148 (Intercept) 0.68681100 0.27396822 0.14984315 1.22377885 Pure composition effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.003831639 0.009627909 -0.01503872 0.02270199 Education -0.002468310 0.006526721 -0.01526045 0.01032383 AFTQ 0.027242458 0.003759803 0.01987338 0.03461154 L.T. withdrawal due to family 0.042088823 0.011340018 0.01986280 0.06431485 Life-time work experience 0.147108984 0.030848759 0.08664653 0.20757144 Industrial sectors -0.009591298 0.008515487 -0.02628134 0.00709875 (Intercept) 0.000000000 0.000000000 0.00000000 0.00000000 Specification error: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.986904461 0.986904461 -0.947392738 Education 0.021331802 0.021331802 -0.020477762 AFTQ -0.028689086 -0.028689086 0.027540490 L.T. withdrawal due to family -0.013805931 -0.013805931 0.013253196 Life-time work experience -0.410988115 -0.410988115 0.394533788 Industrial sectors 0.005966271 0.005966271 -0.005727405 (Intercept) -0.544896050 -0.544896050 0.523080583 ] Age, race, region, etc. 2.92120166 Education 0.06314137 AFTQ -0.08491866 L.T. withdrawal due to family -0.04086506 Life-time work experience -1.21651002 Industrial sectors 0.01765995 (Intercept) -1.61287268 Reweighting error: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.009052913 0.009052913 -0.008690470 Education -0.010424441 -0.010424441 0.010007088 AFTQ -0.011972436 -0.011972436 0.011493107 L.T. withdrawal due to family 0.001677220 0.001677220 -0.001610071 Life-time work experience -0.036502197 -0.036502197 0.035040794 Industrial sectors -0.008934537 -0.008934537 0.008576834 (Intercept) 0.000000000 0.000000000 0.000000000 ] Age, race, region, etc. 0.026796295 Education -0.030855971 AFTQ -0.035437978 L.T. withdrawal due to family 0.004964512 Life-time work experience -0.108045188 Industrial sectors -0.026445909 (Intercept) 0.000000000 Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 2.305898e-03 10%-quantile 4.926871e-02 25%-quantile 1.143785e-01 50%-quantile 3.580739e-01 75%-quantile 1.152471e+00 90%-quantile 2.665421e+00 Max. 1.335400e+02 *** Quantile: 0.9 *** Aggregate decomposition: Estimate Std. Error [ 95%-CI ] Observed difference 0.250895914 0.02153697 0.20868423 0.29310760 Composition effect 0.132054611 0.04746891 0.03901726 0.22509196 Structure effect 0.120414102 0.04270089 0.03672190 0.20410630 Specification error 0.005308852 0.04655987 -0.08594681 0.09656451 Reweighting error -0.006881650 0.01516599 -0.03660644 0.02284314 Observed difference: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.92887000 0.48768843 -0.02698175 1.8847218 Education 0.03456287 0.04048708 -0.04479036 0.1139161 AFTQ 0.01483053 0.04699071 -0.07726957 0.1069306 L.T. withdrawal due to family 0.05667942 0.02361559 0.01039373 0.1029651 Life-time work experience -0.04109842 0.11218754 -0.26098196 0.1787851 Industrial sectors -0.01029261 0.06513673 -0.13795826 0.1173730 (Intercept) -0.73265588 0.47710148 -1.66775760 0.2024458 Pure structure effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. -0.275877816 0.83679238 -1.91596074 1.36420511 Education 0.119717894 0.08213316 -0.04126014 0.28069592 AFTQ -0.116976410 0.09622724 -0.30557834 0.07162552 L.T. withdrawal due to family -0.006408473 0.01595864 -0.03768683 0.02486988 Life-time work experience 0.129866051 0.23795283 -0.33651293 0.59624504 Industrial sectors -0.016013991 0.07012785 -0.15346206 0.12143408 (Intercept) 0.286106845 0.83700698 -1.35439669 1.92661038 Pure composition effect: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 0.002490170 0.008458996 -0.014089159 0.01906950 Education 0.008554908 0.010555023 -0.012132557 0.02924237 AFTQ 0.024746159 0.005517772 0.013931524 0.03556079 L.T. withdrawal due to family 0.050981555 0.015066523 0.021451713 0.08051140 Life-time work experience 0.017484533 0.028569161 -0.038509992 0.07347906 Industrial sectors 0.027797286 0.013477632 0.001381612 0.05421296 (Intercept) 0.000000000 0.000000000 0.000000000 0.00000000 Specification error: Estimate Std. Error [ 95%-CI ] Age, race, region, etc. 1.19539125 1.19539125 -1.14753254 3.53831504 Education -0.08782493 -0.08782493 0.08430877 -0.25995863 AFTQ 0.12681422 0.12681422 -0.12173708 0.37536552 L.T. withdrawal due to family 0.01178777 0.01178777 -0.01131583 0.03489137 Life-time work experience -0.20170722 -0.20170722 0.19363166 -0.59704610 Industrial sectors -0.02038951 -0.02038951 0.01957319 -0.06035220 (Intercept) -1.01876273 -1.01876273 0.97797553 -3.01550099 Reweighting error: Estimate Std. Error [ 95%-CI Age, race, region, etc. 0.0068664035 0.0068664035 -0.006591500 Education -0.0058850064 -0.0058850064 0.005649394 AFTQ -0.0197534333 -0.0197534333 0.018962585 L.T. withdrawal due to family 0.0003185734 0.0003185734 -0.000305819 Life-time work experience 0.0132582125 0.0132582125 -0.012727407 Industrial sectors -0.0016864001 -0.0016864001 0.001618883 (Intercept) 0.0000000000 0.0000000000 0.000000000 ] Age, race, region, etc. 0.0203243071 Education -0.0174194070 AFTQ -0.0584694512 L.T. withdrawal due to family 0.0009429658 Life-time work experience 0.0392438315 Industrial sectors -0.0049916835 (Intercept) 0.0000000000 Summary statistics of reweighting factors Number of trimmed observations (not included in statistics): 0 (0%) Psi_X1 Min. 2.305898e-03 10%-quantile 4.926871e-02 25%-quantile 1.143785e-01 50%-quantile 3.580739e-01 75%-quantile 1.152471e+00 90%-quantile 2.665421e+00 Max. 1.335400e+02 [ FAIL 0 | WARN 38 | SKIP 0 | PASS 53 ] [ FAIL 0 | WARN 38 | SKIP 0 | PASS 53 ] > > proc.time() user system elapsed 126.89 17.06 138.57