Oaxaca-Blinder Decomposition Results
=====================================

Execution time: 1.994808 mins 

$beta
$beta$beta.A
(Intercept)   education  experience         age      tenure     ability 
10.13246721  1.50905713  0.50060438  0.09897191  0.29893677  0.04848347 
   training performance       hours       metro     married 
 1.98859288  0.99956490  0.19758831  2.96517269  1.53556607 

$beta$beta.B
(Intercept)   education  experience         age      tenure     ability 
 7.99201465  1.51354567  0.39741016  0.09863598  0.29387115  0.04964331 
   training performance       hours       metro     married 
 2.04984906  0.99972935  0.20017476  3.01828587  1.49001222 

$beta$beta.diff
  (Intercept)     education    experience           age        tenure 
 2.1404525651 -0.0044885406  0.1031942138  0.0003359286  0.0050656189 
      ability      training   performance         hours         metro 
-0.0011598368 -0.0612561788 -0.0001644453 -0.0025864473 -0.0531131781 
      married 
 0.0455538453 

$beta$beta.R
              (Intercept) education experience        age    tenure    ability
[1,]  0.00000    7.992015  1.513546  0.3974102 0.09863598 0.2938711 0.04964331
[2,]  1.00000   10.132467  1.509057  0.5006044 0.09897191 0.2989368 0.04848347
[3,]  0.50000    9.062241  1.511301  0.4490073 0.09880395 0.2964040 0.04906339
[4,]  0.49804    9.058046  1.511310  0.4488050 0.09880329 0.2963940 0.04906566
[5,] -1.00000    9.717499  1.467724  0.4489993 0.09899528 0.2960641 0.04948051
[6,] -2.00000   11.086704  1.511118  0.4489422 0.09873371 0.2962366 0.04923736
[7,]  0.00000    7.992015  1.513546  0.3974102 0.09863598 0.2938711 0.04964331
     training performance     hours    metro  married
[1,] 2.049849   0.9997293 0.2001748 3.018286 1.490012
[2,] 1.988593   0.9995649 0.1975883 2.965173 1.535566
[3,] 2.019221   0.9996471 0.1988815 2.991729 1.512789
[4,] 2.019341   0.9996474 0.1988866 2.991833 1.512700
[5,] 2.006096   1.0006055 0.1976726 2.978849 1.493027
[6,] 2.019634   0.9992935 0.1985506 2.989153 1.514469
[7,] 2.049849   0.9997293 0.2001748 3.018286 1.490012


$call
oaxaca(formula = formula, data = data, group.weights = 0, R = 500, 
    type = "twofold")

$n
$n$n.A
[1] 49804

$n$n.B
[1] 50196

$n$n.pooled
[1] 100000


$R
[1] 500

$reg
$reg$reg.A

Call:
NULL

Coefficients:
(Intercept)    education   experience          age       tenure      ability  
   10.13247      1.50906      0.50060      0.09897      0.29894      0.04848  
   training  performance        hours        metro      married  
    1.98859      0.99956      0.19759      2.96517      1.53557  


$reg$reg.B

Call:
NULL

Coefficients:
(Intercept)    education   experience          age       tenure      ability  
    7.99201      1.51355      0.39741      0.09864      0.29387      0.04964  
   training  performance        hours        metro      married  
    2.04985      0.99973      0.20017      3.01829      1.49001  


$reg$reg.pooled.1

Call:
NULL

Coefficients:
(Intercept)    education   experience          age       tenure      ability  
    9.71750      1.46772      0.44900      0.09900      0.29606      0.04948  
   training  performance        hours        metro      married  
    2.00610      1.00061      0.19767      2.97885      1.49303  


$reg$reg.pooled.2

Call:
NULL

Coefficients:
(Intercept)    education   experience          age       tenure      ability  
   11.08670      1.51112      0.44894      0.09873      0.29624      0.04924  
   training  performance        hours        metro      married       female  
    2.01963      0.99929      0.19855      2.98915      1.51447     -4.01772  



$threefold
$threefold$overall
  coef(endowments)     se(endowments) coef(coefficients)   se(coefficients) 
      -0.809711591        0.054246601        4.015963120        0.032496779 
 coef(interaction)    se(interaction) 
       0.003832111        0.009291063 

$threefold$variables
            coef(endowments) se(endowments) coef(coefficients) se(coefficients)
(Intercept)     0.0000000000    0.000000000       2.1404525651       0.25641984
education      -0.7852448589    0.033197060      -0.0650644720       0.13158991
experience      0.0052448031    0.031098184       2.0656867806       0.05500059
age             0.0041496143    0.008326107       0.0139295986       0.10886049
tenure         -0.0001847952    0.010510063       0.0506047843       0.05590923
ability         0.0098403831    0.009108767      -0.0580173209       0.05190625
training       -0.0056596218    0.005912305      -0.0186724199       0.02121982
performance     0.0008608976    0.007691219      -0.0004938297       0.08061010
hours          -0.0229241668    0.014730561      -0.1035067034       0.10802006
metro          -0.0078500254    0.009375895      -0.0319043061       0.03954980
married        -0.0079438207    0.004855102       0.0229484438       0.03262625
            coef(interaction) se(interaction)
(Intercept)      0.000000e+00    0.0000000000
education        2.328706e-03    0.0047156748
experience       1.361901e-03    0.0080738207
age              1.413251e-05    0.0002542630
tenure          -3.185416e-06    0.0002675458
ability         -2.299049e-04    0.0003723787
training         1.691280e-04    0.0003441454
performance     -1.416089e-07    0.0002074165
hours            2.962019e-04    0.0004016500
metro            1.381379e-04    0.0002906848
married         -2.428648e-04    0.0004292764


$twofold
$twofold$overall
     group.weight coef(explained) se(explained) coef(unexplained)
[1,]      0.00000      -0.8097116    0.05424660          4.019795
[2,]      1.00000      -0.8058795    0.05955316          4.015963
[3,]      0.50000      -0.8077955    0.05677196          4.017879
[4,]      0.49804      -0.8078030    0.05678239          4.017887
[5,]     -1.00000      -0.7847818    0.05555899          3.994865
[6,]     -2.00000      -0.8076353    0.05673866          4.017719
[7,]      0.00000      -0.8097116    0.05424660          4.019795
     se(unexplained) coef(unexplained A) se(unexplained A) coef(unexplained B)
[1,]      0.03225485        4.019795e+00      3.225485e-02            0.000000
[2,]      0.03249678        0.000000e+00      0.000000e+00            4.015963
[3,]      0.03204102        2.009898e+00      1.612743e-02            2.007982
[4,]      0.03204151        2.017776e+00      1.606421e-02            2.000110
[5,]      0.03185486        2.005263e+00      1.722223e-02            1.989603
[6,]      0.03202709       -4.607911e-13      1.272517e-12            4.017719
[7,]      0.03225485        4.019795e+00      3.225485e-02            0.000000
     se(unexplained B)
[1,]        0.00000000
[2,]        0.03249678
[3,]        0.01624839
[4,]        0.01631208
[5,]        0.01689640
[6,]        0.03202709
[7,]        0.00000000

$twofold$variables
$twofold$variables[[1]]
            group.weight coef(explained) se(explained) coef(unexplained)
(Intercept)            0    0.0000000000   0.000000000      2.1404525651
education              0   -0.7852448589   0.033197060     -0.0627357656
experience             0    0.0052448031   0.031098184      2.0670486817
age                    0    0.0041496143   0.008326107      0.0139437311
tenure                 0   -0.0001847952   0.010510063      0.0506015989
ability                0    0.0098403831   0.009108767     -0.0582472257
training               0   -0.0056596218   0.005912305     -0.0185032920
performance            0    0.0008608976   0.007691219     -0.0004939713
hours                  0   -0.0229241668   0.014730561     -0.1032105015
metro                  0   -0.0078500254   0.009375895     -0.0317661681
married                0   -0.0079438207   0.004855102      0.0227055790
            se(unexplained) coef(unexplained A) se(unexplained A)
(Intercept)      0.25641984        2.1404525651        0.25641984
education        0.12687956       -0.0627357656        0.12687956
experience       0.05525251        2.0670486817        0.05525251
age              0.10899585        0.0139437311        0.10899585
tenure           0.05590170        0.0506015989        0.05590170
ability          0.05214645       -0.0582472257        0.05214645
training         0.02102337       -0.0185032920        0.02102337
performance      0.08061902       -0.0004939713        0.08061902
hours            0.10771674       -0.1032105015        0.10771674
metro            0.03939175       -0.0317661681        0.03939175
married          0.03227064        0.0227055790        0.03227064
            coef(unexplained B) se(unexplained B)
(Intercept)                   0                 0
education                     0                 0
experience                    0                 0
age                           0                 0
tenure                        0                 0
ability                       0                 0
training                      0                 0
performance                   0                 0
hours                         0                 0
metro                         0                 0
married                       0                 0

$twofold$variables[[2]]
            group.weight coef(explained) se(explained) coef(unexplained)
(Intercept)            1    0.0000000000   0.000000000      2.1404525651
education              1   -0.7829161525   0.033032515     -0.0650644720
experience             1    0.0066067041   0.039168552      2.0656867806
age                    1    0.0041637468   0.008335530      0.0139295986
tenure                 1   -0.0001879806   0.010691175      0.0506047843
ability                1    0.0096104782   0.008897166     -0.0580173209
training               1   -0.0054904938   0.005714182     -0.0186724199
performance            1    0.0008607560   0.007684832     -0.0004938297
hours                  1   -0.0226279648   0.014560143     -0.1035067034
metro                  1   -0.0077118875   0.009245325     -0.0319043061
married                1   -0.0081866855   0.004988490      0.0229484438
            se(unexplained) coef(unexplained A) se(unexplained A)
(Intercept)      0.25641984                   0                 0
education        0.13158991                   0                 0
experience       0.05500059                   0                 0
age              0.10886049                   0                 0
tenure           0.05590923                   0                 0
ability          0.05190625                   0                 0
training         0.02121982                   0                 0
performance      0.08061010                   0                 0
hours            0.10802006                   0                 0
metro            0.03954980                   0                 0
married          0.03262625                   0                 0
            coef(unexplained B) se(unexplained B)
(Intercept)        2.1404525651        0.25641984
education         -0.0650644720        0.13158991
experience         2.0656867806        0.05500059
age                0.0139295986        0.10886049
tenure             0.0506047843        0.05590923
ability           -0.0580173209        0.05190625
training          -0.0186724199        0.02121982
performance       -0.0004938297        0.08061010
hours             -0.1035067034        0.10802006
metro             -0.0319043061        0.03954980
married            0.0229484438        0.03262625

$twofold$variables[[3]]
            group.weight coef(explained) se(explained) coef(unexplained)
(Intercept)          0.5    0.0000000000   0.000000000      2.1404525651
education            0.5   -0.7840805057   0.033030842     -0.0639001188
experience           0.5    0.0059257536   0.035133169      2.0663677312
age                  0.5    0.0041566806   0.008329850      0.0139366648
tenure               0.5   -0.0001863879   0.010600161      0.0506031916
ability              0.5    0.0097254307   0.009001663     -0.0581322733
training             0.5   -0.0055750578   0.005811540     -0.0185878560
performance          0.5    0.0008608268   0.007687327     -0.0004939005
hours                0.5   -0.0227760658   0.014644223     -0.1033586025
metro                0.5   -0.0077809564   0.009309704     -0.0318352371
married              0.5   -0.0080652531   0.004917566      0.0228270114
            se(unexplained) coef(unexplained A) se(unexplained A)
(Intercept)      0.25641984        1.0702262826        0.12820992
education        0.12923469       -0.0313678828        0.06343978
experience       0.05497868        1.0335243408        0.02762625
age              0.10892812        0.0069718655        0.05449792
tenure           0.05590531        0.0253007995        0.02795085
ability          0.05202616       -0.0291236129        0.02607322
training         0.02112112       -0.0092516460        0.01051168
performance      0.08061449       -0.0002469857        0.04030951
hours            0.10786832       -0.0516052508        0.05385837
metro            0.03947059       -0.0158830841        0.01969588
married          0.03244822        0.0113527895        0.01613532
            coef(unexplained B) se(unexplained B)
(Intercept)        1.0702262826        0.12820992
education         -0.0325322360        0.06579496
experience         1.0328433903        0.02750029
age                0.0069647993        0.05443024
tenure             0.0253023922        0.02795462
ability           -0.0290086604        0.02595313
training          -0.0093362100        0.01060991
performance       -0.0002469149        0.04030505
hours             -0.0517533517        0.05401003
metro             -0.0159521530        0.01977490
married            0.0114742219        0.01631312

$twofold$variables[[4]]
            group.weight coef(explained) se(explained) coef(unexplained)
(Intercept)      0.49804    0.0000000000   0.000000000      2.1404525651
education        0.49804   -0.7840850700   0.033030520     -0.0638955546
experience       0.49804    0.0059230843   0.035148987      2.0663704005
age              0.49804    0.0041566529   0.008329868      0.0139366925
tenure           0.49804   -0.0001863816   0.010600516      0.0506031854
ability          0.49804    0.0097258813   0.009001248     -0.0581327239
training         0.49804   -0.0055753893   0.005811152     -0.0185875245
performance      0.49804    0.0008608271   0.007687314     -0.0004939008
hours            0.49804   -0.0227766463   0.014643889     -0.1033580219
metro            0.49804   -0.0077812272   0.009309449     -0.0318349663
married          0.49804   -0.0080647771   0.004917827      0.0228265354
            se(unexplained) coef(unexplained A) se(unexplained A)
(Intercept)      0.25641984        1.0744215696        0.12770734
education        0.12924392       -0.0314908449        0.06319110
experience       0.05497819        1.0375757563        0.02751796
age              0.10892785        0.0069991953        0.05428429
tenure           0.05590532        0.0253999786        0.02784128
ability          0.05202569       -0.0292377774        0.02597102
training         0.02112150       -0.0092879124        0.01047048
performance      0.08061448       -0.0002479539        0.04015150
hours            0.10786891       -0.0518075433        0.05364724
metro            0.03947090       -0.0159453457        0.01961867
married          0.03244892        0.0113972924        0.01607207
            coef(unexplained B) se(unexplained B)
(Intercept)         1.066030996        0.12871251
education          -0.032404710        0.06605287
experience          1.028794644        0.02760809
age                 0.006937497        0.05464361
tenure              0.025203207        0.02806420
ability            -0.028894946        0.02605486
training           -0.009299612        0.01065150
performance        -0.000245947        0.04046305
hours              -0.051550479        0.05422175
metro              -0.015889621        0.01985242
married             0.011429243        0.01637707

$twofold$variables[[5]]
            group.weight coef(explained) se(explained) coef(unexplained)
(Intercept)           -1    0.0000000000   0.000000000      2.1404525651
education             -1   -0.7614719797   0.031122323     -0.0865086449
experience            -1    0.0059256482   0.035146783      2.0663678365
age                   -1    0.0041647298   0.008355179      0.0139286156
tenure                -1   -0.0001861742   0.010586974      0.0506029779
ability               -1    0.0098081140   0.009122190     -0.0582149566
training              -1   -0.0055388212   0.005738672     -0.0186240926
performance           -1    0.0008616521   0.007698802     -0.0004947258
hours                 -1   -0.0226376195   0.014495469     -0.1034970488
metro                 -1   -0.0077474575   0.009241171     -0.0318687360
married               -1   -0.0079598940   0.004782009      0.0227216524
            se(unexplained) coef(unexplained A) se(unexplained A)
(Intercept)      0.25641984        0.4149678333        0.13239224
education        0.12928530        0.5777098462        0.06852284
experience       0.05497928        1.0336842940        0.02929726
age              0.10893228       -0.0009698026        0.05783780
tenure           0.05590457        0.0286961366        0.03016248
ability          0.05203035       -0.0500717328        0.02927117
training         0.02112764       -0.0052872121        0.01124605
performance      0.08061388       -0.0031257676        0.04442236
hours            0.10786322       -0.0033641304        0.05877024
metro            0.03946481       -0.0081796780        0.02156987
married          0.03244273        0.0212028713        0.01780062
            coef(unexplained B) se(unexplained B)
(Intercept)         1.725484732        0.14251946
education          -0.664218491        0.07247124
experience          1.032683543        0.02970746
age                 0.014898418        0.05804577
tenure              0.021906841        0.03003358
ability            -0.008143224        0.02756303
training           -0.013336881        0.01154057
performance         0.002631042        0.04385349
hours              -0.100132918        0.05851493
metro              -0.023689058        0.02115242
married             0.001518781        0.01723146

$twofold$variables[[6]]
            group.weight coef(explained) se(explained) coef(unexplained)
(Intercept)           -2    0.0000000000   0.000000000       2.140452565
education             -2   -0.7839852525   0.033016074      -0.063995372
experience            -2    0.0059248954   0.035127953       2.066368589
age                   -2    0.0041537258   0.008323962       0.013939620
tenure                -2   -0.0001862827   0.010593434       0.050603086
ability               -2    0.0097599162   0.009033786      -0.058166759
training              -2   -0.0055761982   0.005813225      -0.018586716
performance           -2    0.0008605223   0.007684181      -0.000493596
hours                 -2   -0.0227381682   0.014619846      -0.103396500
metro                 -2   -0.0077742555   0.009300784      -0.031841938
married               -2   -0.0080742065   0.004923943       0.022835965
            se(unexplained) coef(unexplained A) se(unexplained A)
(Intercept)      0.25641984       -0.9542363900        0.12763622
education        0.12922913       -0.0288017455        0.06412200
experience       0.05497753        1.0348268830        0.02795828
age              0.10892827        0.0098872383        0.05491627
tenure           0.05590586        0.0269722471        0.02827813
ability          0.05202900       -0.0378606331        0.02642021
training         0.02112036       -0.0093764103        0.01061245
performance      0.08061512        0.0008152057        0.04072156
hours            0.10786678       -0.0383999780        0.05451224
metro            0.03947037       -0.0143421426        0.01983768
married          0.03244583        0.0105157254        0.01645042
            coef(unexplained B) se(unexplained B)
(Intercept)         3.094688955        0.13226663
education          -0.035193626        0.06611063
experience          1.031541706        0.02781002
age                 0.004052381        0.05465660
tenure              0.023630839        0.02798956
ability            -0.020306126        0.02599710
training           -0.009210305        0.01065667
performance        -0.001308802        0.04050816
hours              -0.064996522        0.05414882
metro              -0.017499795        0.01991453
married             0.012320239        0.01621829

$twofold$variables[[7]]
            group.weight coef(explained) se(explained) coef(unexplained)
(Intercept)            0    0.0000000000   0.000000000      2.1404525651
education              0   -0.7852448589   0.033197060     -0.0627357656
experience             0    0.0052448031   0.031098184      2.0670486817
age                    0    0.0041496143   0.008326107      0.0139437311
tenure                 0   -0.0001847952   0.010510063      0.0506015989
ability                0    0.0098403831   0.009108767     -0.0582472257
training               0   -0.0056596218   0.005912305     -0.0185032920
performance            0    0.0008608976   0.007691219     -0.0004939713
hours                  0   -0.0229241668   0.014730561     -0.1032105015
metro                  0   -0.0078500254   0.009375895     -0.0317661681
married                0   -0.0079438207   0.004855102      0.0227055790
            se(unexplained) coef(unexplained A) se(unexplained A)
(Intercept)      0.25641984        2.1404525651        0.25641984
education        0.12687956       -0.0627357656        0.12687956
experience       0.05525251        2.0670486817        0.05525251
age              0.10899585        0.0139437311        0.10899585
tenure           0.05590170        0.0506015989        0.05590170
ability          0.05214645       -0.0582472257        0.05214645
training         0.02102337       -0.0185032920        0.02102337
performance      0.08061902       -0.0004939713        0.08061902
hours            0.10771674       -0.1032105015        0.10771674
metro            0.03939175       -0.0317661681        0.03939175
married          0.03227064        0.0227055790        0.03227064
            coef(unexplained B) se(unexplained B)
(Intercept)                   0                 0
education                     0                 0
experience                    0                 0
age                           0                 0
tenure                        0                 0
ability                       0                 0
training                      0                 0
performance                   0                 0
hours                         0                 0
metro                         0                 0
married                       0                 0



$x
$x$x.mean.A
(Intercept)   education  experience         age      tenure     ability 
  1.0000000  13.9768738  20.0306646  41.5080169   9.9892234  50.2201928 
   training performance       hours       metro     married 
  0.3020641   3.0038649  39.9043514   0.5980845   0.4984339 

$x$x.mean.B
(Intercept)   education  experience         age      tenure     ability 
  1.0000000  14.4956852  20.0174671  41.4659469   9.9898522  50.0219711 
   training performance       hours       metro     married 
  0.3048251   3.0030038  40.0188721   0.6006853   0.5037652 

$x$x.mean.diff
  (Intercept)     education    experience           age        tenure 
 0.0000000000 -0.5188114740  0.0131974558  0.0420699843 -0.0006288306 
      ability      training   performance         hours         metro 
 0.1982217471 -0.0027609944  0.0008611307 -0.1145207664 -0.0026008224 
      married 
-0.0053313795 


$y
$y$y.A
[1] 64.80761

$y$y.B
[1] 61.59752

$y$y.diff
[1] 3.210084


attr(,"class")
[1] "oaxaca"
