The estimated logistic equation can be used to predict the probability
conditional upon the relevant values of the determining variable.
Using these predicted probabilities, one can compute, using the
methodology of inequality decomposition, how much of the over all
inequality in these probability can be explained by a particular
factor.
On Wed, Oct 7, 2009 at 11:55 AM, Maarten buis <[email protected]> wrote:
>
> --- On Wed, 7/10/09, Rajaram Subramanian Potty wrote:
> > Is there any decomposition programme to decompose the
> > results from a logistic model in STATA. In oterwords, is
> > there a programme to estimate the within and between
> > variation of the variables used in the logistic model
> > after the model fit.
>
> The word decomposition can mean many things. Can you tell us
> a bit more about what you mean with decompose.
>
> My -ldecomp- and M. Sinning, M. Hahn, and T. K. Bauer's
> -nldecompose- are some of the possibilities.
>
> You can install -nldecompose- by typing in Stata
> -findit nldecompose-, and you can read more about it in:
> M. Sinning, M. Hahn, and T. K. Bauer (2008) The
> Blinder–Oaxaca decomposition for nonlinear regression models
> The Stata Journal, 8(4):480-492.
> http://www.stata-journal.com/article.html?article=st0152 .
>
> You can install -ldecomp- by typing in Stata
> -ssc install ldecomp-, and you can read more about it in:
> Maarten L. Buis (2009) Direct and indirect effects in a logit
> model http://www.maartenbuis.nl/wp/ldecomp.html .
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
>
> *
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*
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