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RE: st: Interpretation of nldecompose regression output


From   Ilaria Maselli <ilaria.maselli@ceps.eu>
To   statalist@hsphsun2.harvard.edu
Subject   RE: st: Interpretation of nldecompose regression output
Date   Thu, 13 Oct 2011 11:49:17 +0200

Thanks a lot for the reference - the only problem is that unfortunately
mvdcmp does not support ologit/oprobit which I am using.
Therefore I am stuck again with nldecompose and the output I have troubles
to interpret.
Ilaria



-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Francisco Rowe
Sent: Thursday, October 13, 2011 12:56 AM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Interpretation of nldecompose regression output

Hi Ilaria,

Please refer to:
Powers, D, Yoshioka, H and Yun, M forthcoming, 'mvdcmp: Multivariate
decomposition for nonlinear response models', The Stata Journal, pp. 1-20.

The authors provide, to me, a fairly clear explanations of decomposition
outcomes.

Cheers,

Francisco.

On 13/10/2011, at 3:15 AM, Ilaria Maselli wrote:

> Hello,
> I am using nldecompose to apply a Blinder-Oaxaca decomposition for
ologit.
>
> Unfortunately I do not understand how to interpret the following
> regression output.
> Any help is highly appreciated.  Many thanks in advance,
> Ilaria
>
> nldecompose, by(routine) : ologit ef5 isced q2c  exper_sq if countcod==4
> [pweight= w4]
>
>                                                   Number of obs (A) =
> 87
>                                                   Number of obs (B) =
> 605
>
>
--------------------------------------------------------------------------
> ----
>      Results |      Coef.  Percentage
>
--------------+-----------------------------------------------------------
> ----
> Omega = 1    |
>         Char |  -.4017469    24.7564%
>         Coef |  -1.221053    75.2436%
>
--------------+-----------------------------------------------------------
> ----
> Omega = 0    |
>         Char |   .4488521  -27.65912%
>         Coef |  -2.071652   127.6591%
>
--------------+-----------------------------------------------------------
> ----
>          Raw |    -1.6228        100%
>
--------------------------------------------------------------------------
> ----
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