Maximum simulated likelihood estimation of random-effects dynamic probit models with autocorrelated errors
AbstractThis paper investigates using maximum simulated likelihood (MSL) estimation for random-effects dynamic probit models with autocorrelated errors. It presents and illustrates a new Stata command, redpace, for this estimator. The paper also compares using pseudorandom numbers and Halton sequences of quasirandom numbers for MSL estimation of these models. Copyright 2006 by StataCorp LP.
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Bibliographic InfoArticle provided by StataCorp LP in its journal Stata Journal.
Volume (Year): 6 (2006)
Issue (Month): 2 (June)
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Web page: http://www.stata-journal.com/
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