Maximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment

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dc.creatorDeb, Partha
dc.creatorTrivedi, Pravin K.
dc.date2017-04-01T13:49:53Z
dc.date.accessioned2026-07-09T05:50:03Z
dc.descriptionWe describe specification and estimation of a multinomial treatment effects negative binomial regression model. A latent factor structure is used to accommodate selection into treatment, and a simulated likelihood method is used for estimation. We describe its implementation via the mtreatnb command.
dc.identifierOther:st0105
dc.identifierdoi:10.22004/ag.econ.117575
dc.identifierhttps://ageconsearch.umn.edu/record/117575/files/sjart_st0105.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/117575
dc.identifier.urihttp://hdl.handle.net/123456789/568956
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/117575
dc.titleMaximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment
dc.typeText

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