Dear All,

I am new here and I would like to seek your advice on how to interpret Oaxaca-Blinder decomposition results. Specifically, I want to explain differences in depression between two countries (A and B). In this exercise I use -Oaxaca- command (introduced by Ben Jann in 2008) with options -logit- and -weight (1) specified. The command I used is as follows:
Code:
oaxaca depression age gender area work edu ses_cat mstt club fsupp console alone, by(country) logit weight(1)
The results are
Code:
Blinder-Oaxaca decomposition                    Number of obs     =      6,265
                                                  Model           =      logit
Group 1: country = 0                              N of obs 1      =       3779
Group 2: country = 1                              N of obs 2      =       2486

------------------------------------------------------------------------------
  depression |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
overall      |
     group_1 |   .5654935   .0080592    70.17   0.000     .5496977    .5812893
     group_2 |   .4485117   .0099587    45.04   0.000     .4289929    .4680304
  difference |   .1169819   .0128112     9.13   0.000     .0918723    .1420914
   explained |  -.0618174   .0173442    -3.56   0.000    -.0958113   -.0278235
 unexplained |   .1787992   .0209686     8.53   0.000     .1377015    .2198969
-------------+----------------------------------------------------------------
explained    |
         age |   .0014983   .0009054     1.65   0.098    -.0002762    .0032727
      gender |  -.0026961   .0012159    -2.22   0.027    -.0050793   -.0003129
        area |   .0047169   .0015552     3.03   0.002     .0016689     .007765
        work |   .0041793   .0019572     2.14   0.033     .0003432    .0080154
         edu |   -.003192    .001866    -1.71   0.087    -.0068493    .0004653
     ses_cat |   .0011321   .0029647     0.38   0.703    -.0046785    .0069428
        mstt |    .000751   .0031287     0.24   0.810    -.0053811    .0068831
        club |  -.0078419    .005699    -1.38   0.169    -.0190117    .0033279
       fsupp |  -.0046566    .002206    -2.11   0.035    -.0089803    -.000333
     console |  -.0555361   .0156262    -3.55   0.000     -.086163   -.0249093
       alone |  -.0001722   .0009044    -0.19   0.849    -.0019447    .0016003
-------------+----------------------------------------------------------------
unexplained  |
         age |   -.305768    .127458    -2.40   0.016    -.5555811   -.0559548
      gender |   .0122104   .0183583     0.67   0.506    -.0237711    .0481919
        area |   .0277098   .0086721     3.20   0.001     .0107129    .0447068
        work |    .005129   .0119323     0.43   0.667    -.0182578    .0285159
         edu |  -.0006374    .012872    -0.05   0.961    -.0258661    .0245912
     ses_cat |  -.0805741   .0331369    -2.43   0.015    -.1455212    -.015627
        mstt |  -.0290486   .0123182    -2.36   0.018    -.0531918   -.0049053
        club |   .0113543   .0112411     1.01   0.312    -.0106778    .0333863
       fsupp |   .0216929    .027068     0.80   0.423    -.0313594    .0747453
     console |   .1185258   .1612595     0.74   0.462    -.1975371    .4345887
       alone |  -.0141596   .0051225    -2.76   0.006    -.0241995   -.0041197
       _cons |   .4123646   .2173369     1.90   0.058    -.0136078    .8383371
------------------------------------------------------------------------------
I got a negative value for the explained component and a positive value for the unexplained component which I do not know who to interpret these results. In addition, I also have two additional questions:
1) Since I used the -logit- option so do I need to use -eform- option to report results?
2) How to interpret significant coefficients in the unexplained component?

Thank you.