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Practical Guidelines for the Estimation and Inference of a Dynamic Logistic Model with Fixed-Effects

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  • Romain Aeberhardt

    ()
    (CREST)

  • Laurent Davezies

    ()
    (CREST)

Abstract

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

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Bibliographic Info

Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2011-08.

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Length: 16
Date of creation: Mar 2011
Date of revision:
Handle: RePEc:crs:wpaper:2011-08

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Keywords: conditional logit; state dependence;

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  1. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
  2. Jeffrey M Wooldridge, 2002. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," CeMMAP working papers CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  3. Newey, W.K., 1989. "Uniform Convergence In Probability And Stochastic Equicontinuity," Papers 342, Princeton, Department of Economics - Econometric Research Program.
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