This study provides a Bayesian investigation of rank‐ordered multinominal logit models
employing conjugate priors for standard multinomial logit models as well as other priors …

This study provides a Bayesian investigation of conditional logit and multinomial logit
models based on a conjugate prior which has many appealing computational properties. A …

This study provides a Bayesian analysis of estimation, testing, and prediction in nested logit
models. Tractable families of informative priors are introduced. The discussion advocates …

The rank-ordered logit model is used as the basic specification for rank-ordered consumer
choice data. Two specification tests are proposed for this specification. The first is a …

Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of
multicandidate and multiparty elections. Mixed logit assumes that the unobserved portions of …

The authors report on a procedure for exploiting the information content of rank ordered
choice sets to estimate efficiently the parameters of the multinomial logit model formulation …

A logit vector model and a logit ideal point model are presented for external analysis of
paired comparison preference judgments aggregated over a homogeneous group. The logit …

PII: 0304-4076(93)01556-2 Page 1 a __ / __ f!!B JOURNALOF Econometrics ELSEVIER Journal
of Econometrics 63 (1994) 3277339 Jeffreys’ prior for logit models Dale Poirier Department of …

Discrete choice models are now used in a variety of situations in applied econometrics. By
far the model specification which is used most often is the multinomial logit model. Yet it is …

The random coefficients multinomial choice logit model, also known as the mixed logit, has
been widely used in empirical choice analysis for the last thirty years. We prove that the …