-
MM Algorithm for General Mixed Multinomial Logit Models (replication data)
This paper develops a new technique for estimating mixed logit models with a simple minorization-maximization (MM) algorithm. The algorithm requires minimal coding and is easy... -
Differences Between Classical and Bayesian Estimates for Mixed Logit Models: ...
The mixed logit model is widely used in applied econometrics. Researchers typically rely on the free choice between the classical and Bayesian estimation approach. However,... -
A Smooth Transition Logit Model of The Effects of Deregulation in the Electri...
This paper introduces the smooth transition logit (STL) model that is designed to detect and model situations in which there is structural change in the behaviour underlying the... -
Bayesian estimation of random-coefficients choice models using aggregate data...
This article discusses the use of Bayesian methods for estimating logit demand models using aggregate data. We analyze two different demand systems: independent samples and... -
Identification of parameters in normal error component logit-mixture (NECLM) ...
Although the basic structure of logit-mixture models is well understood, important identification and normalization issues often get overlooked. This paper addresses issues... -
How do respondents process stated choice experiments? Attribute consideration...
The popularity of stated choice (SC) experiments has produced many design strategies in which researchers use increasingly more complex choice settings to study choice...
