A Bayesian mixed logit–probit model for multinomial choice

Martin Burda; Matthew Harding; Jerry A. Hausman

doi:10.1016/j.jeconom.2008.09.029

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A Bayesian mixed logit–probit model for multinomial choice

Martin Burda Matthew Harding Jerry A. Hausman

Year: 2008 Journal: Journal of Econometrics Vol: 147 (2)Pages: 232-246 Publisher: Elsevier BV

DOI: 10.1016/j.jeconom.2008.09.029

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Keywords:

Multinomial probit Econometrics Markov chain Monte Carlo Nonparametric statistics Mixed logit Dirichlet distribution Gibbs sampling Mathematics Multinomial distribution Dirichlet process Bayesian probability Computer science Statistics Probit model Logistic regression

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Consumer Market Behavior and Pricing

Social Sciences → Business, Management and Accounting → Marketing

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Economic and Environmental Valuation

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

A Bayesian mixed logit–probit model for multinomial choice

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