Practical Guidelines for the Estimation and Inference of a Dynamic Logistic Model with Fixed-Effects
Romain Aeberhardt and
No 2011-08, Working Papers from Center for Research in Economics and Statistics
This papers shows how to simply compute one of the estimators proposed in Honoré and Kyriazidou (2000) as well as its variance. The method involves a simple reshaping of the original dataset that is then used in a weighted logistic regression with clustering. Such procedures are widely available in standard statistics or econometrics softwares. We also extend their inference results to more than two states and more than four periods. In doing so, it appears that, with more than four periods, there are two natural candidates for the estimator of the covariance matrix, but one of these significantly outperforms the other on Monte-Carlo simulations
Keywords: conditional logit; state dependence (search for similar items in EconPapers)
JEL-codes: C23 C25 J62 (search for similar items in EconPapers)
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Journal Article: Practical guidelines for the estimation and inference of a dynamic logistic model with fixed-effects (2012)
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