Data/hora: 11/06/2024 10:02:30

Provedor de dados: | Research in Agricultural & Applied Economics (AgEcon Searh)
País: | United States
Título: | Maximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment
Autores: | Deb,   Partha; Trivedi,   Pravin K.
Data: | 2011-11-04
Ano: | 2006
Palavras-chave: | Mtreatnb; Multinomial treatment effects; Latent factors; Count data; Negative binomial; Multinomial logit; Multinomial logistic; Halton sequences; Maximum simulated likelihood; Research Methods/ Statistical Methods.
Resumo: | We 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.
Tipo: | Journal Article
Idioma: | Inglês

Identificador:

st0105

http://purl.umn.edu/117575

Relação: | Stata Journal&gt;Volume 6, Number 2, 2nd Quarter 2006
Formato: | 10