Practical Guidelines for the Estimation and Inference of a Dynamic Logistic Model with Fixed-Effects
AbstractThis 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 InfoPaper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2011-08.
Date of creation: Mar 2011
Date of revision:
conditional logit; state dependence;
Other versions of this item:
- Aeberhardt, Romain & Davezies, Laurent, 2012. "Practical guidelines for the estimation and inference of a dynamic logistic model with fixed-effects," Economics Letters, Elsevier, vol. 115(2), pages 300-304.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
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- Jeffrey M. Wooldridge, 2005.
"Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
- 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.
- 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.
- Newey, W.K., 1989.
"Uniform Convergence In Probability And Stochastic Equicontinuity,"
342, Princeton, Department of Economics - Econometric Research Program.
- Newey, Whitney K, 1991. "Uniform Convergence in Probability and Stochastic Equicontinuity," Econometrica, Econometric Society, vol. 59(4), pages 1161-67, July.
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