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st: xtlogit re versus xtlogit pa

From   "Christer Thrane" <>
To   <>
Subject   st: xtlogit re versus xtlogit pa
Date   Mon, 6 Mar 2006 15:03:57 +0100


My observations are person/years and the dependent variable is whether a person in any given year is registrated as "in continuing education, full-time" (= 1) versus "not" (= 0); that is, still is in regular employment. The independent variables are gender, work experince in years, time (i.e. observation year plus some controls.

My "problem" is that the predicted probabilities from respectively -re- and -pa- differ substantially.

1. Why does the -re- model, for various combinations of the x-values, in general produce lower predicted probabilities than the -pa- model? (By the way, the results for the -pa- model is more in agreement with the plain -logit, cluster (id)- model's results than the -re- model.)

2. Only the -pa- model has a robust option. But why would do I need a robust option in this case? Does not the -xt- option "solve" the issue of many observations for the same person. Or does the robust option solve some other issue in this regard, such as arbitrary serial correlation between panels?

Thanks in advance for any help.

Christer Thrane

Professor Christer Thrane
Department of Social Science
Lillehammer University College
2626 Lillehammer, Norway
+ 47 61 28 81 70 (fax)
+ 47 61 28 82 47 (phone, work)
+ 47 61 25 53 04 (phone, home)
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