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Type: Book Chapters Authors: Frank Windmeijer
Volume, issue, pages: Vol. 46, Chapter 18, pp. 603-624
Previous version: cemmap Working Papers [Details]
Published in: The Econometrics of Panel Data, Third Edition
This paper gives an account of the recent literature on estimating models for panel count data. Specifically, the treatment of unobserved individual heterogeneity that is correlated with the explanatory variables and the presence of explanatory variables that are not strictly exogenous are central. Moment conditions are discussed for these type of problems that enable estimation of the parameters by GMM. As standard Wald tests based on efficient two-step GMM estimation results are known to have poor finite sample behaviour, alternative test procedures that have recently been proposed in the literature are evaluated by means of a Monte Carlo study.
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