Simulation estimation of dynamic discrete choice panel models with accelerated importance samplers
AbstractWith long time series for dynamic discrete choice panel models, the Geweke--Hajivassiliou--Keane sampler has been observed to have large biases and root-mean-square errors. The Richard--Zhang accelerated importance sampler is extended for the simulation estimation of such models. It is demonstrated to be adequate and can improve upon the Geweke--Hajivassiliou--Keane sampler for lengthy time-series panels by Monte Carlo means. Empirical applications of the proposed method on firm's dividend decisions illustrate the practical value of the accelerated importance sampler. Copyright Royal Economic Socciety 2004
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Bibliographic InfoArticle provided by Royal Economic Society in its journal The Econometrics Journal.
Volume (Year): 7 (2004)
Issue (Month): 1 (06)
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- Moura, Guilherme V. & Richard, Jean-François & Liesenfeld, Roman, 2007.
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2007,11, Christian-Albrechts-University of Kiel, Department of Economics.
- Guilherme Valle Moura & Roman Liesenfeld & Jean-Francois Richard, 2008. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807141048250, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
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