Simulation estimation of dynamic discrete choice panel models with accelerated importance samplers
With 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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Volume (Year): 7 (2004)
Issue (Month): 1 (06)
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