Maximum Simulated Likelihood Estimation of Random Effects Dynamic Probit Models with Autocorrelated Errors
نویسنده
چکیده
This paper investigates the use of Maximum Simulated Likelihood estimation for random effects dynamic probit models with autocorrelated errors. It presents a new Stata command, redpace, for this estimator and illustrates its usage. The paper also compares the use of pseudo-random numbers and Halton sequences of quasi-random numbers for the MSL estimation of these models.
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تاریخ انتشار 2006