Multivariate probit regression using simulated maximum likelihood

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dc.creatorCappellari, Lorenzo
dc.creatorJenkins, Stephen P.
dc.date2017-04-01T19:33:36Z
dc.date.accessioned2026-07-09T05:47:40Z
dc.descriptionWe 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.
dc.identifierOther:st0045
dc.identifierdoi:10.22004/ag.econ.116115
dc.identifierhttps://ageconsearch.umn.edu/record/116115/files/sjart_st0045.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/116115
dc.identifier.urihttp://hdl.handle.net/123456789/568415
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/116115
dc.titleMultivariate probit regression using simulated maximum likelihood
dc.typeText

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University of Minnesota