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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...
