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Multivariate probit regression using simulated maximum likelihood

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Author Info
Lorenzo Cappellari (Universita del Piemonte Orientale and University of Essex)
Stephen P. Jenkins (University of Essex)

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Abstract

We discuss the application of the GHK simulation method for maximum likelihood estimation of the multivariate probit regression model and describe and illustrate a Stata program mvprobit for this purpose. Copyright 2003 by StataCorp LP.

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Publisher Info
Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 3 (2003)
Issue (Month): 3 (September)
Pages: 278-294
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Handle: RePEc:tsj:stataj:v:3:y:2003:i:3:p:278-294

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Related research
Keywords: maximum likelihood estimation; multivariate probit regression model; GHK; mvprobit; mvppred;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. V A Hajivassiliou, 1997. "Some Practical Issues in Maximum Simulated Likelihood," STICERD - Econometrics Paper Series /1997/340, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  2. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January. [Downloadable!] (restricted)
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This page was last updated on 2009-11-22.


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