In this paper, the mixed logit (ML) using Bayesian methods was employed to examine
willingness-to-pay (WTP) to consume bread produced with reduced levels of pesticides so …

The random parameter logit model has become the dominating model for analyzing stated
choice data in environmental valuation. The unrestricted version of the model with correlated …

Mixed-logit models are currently the state of the art in discrete-choice modelling, and their
estimation in various forms (in particular, mixing revealed-preference and stated-preference …

The random parameter logit (RPL) model with uncorrelated coefficients is a restrictive
version of the mixed logit model, but it is one of the most frequently used models for …

Mixed logit models represent a powerful discrete choice analytical model but require
assumptions about the functional form of the parameter distributions. The use of unbounded …

A number of papers have recently contrasted classical inference estimation methods for logit
models with Bayesian methods. It has been argued that two particularly appealing features …

Using mixed logit models to analyse choice data is common but requires ex ante
specification of the functional forms of preference distributions. We make the case for greater …

This paper combines the use of random coefficient discrete choice models that allow for
correlated errors in the form of unobserved preference heterogeneity with an investigation of …

We show a substantive problem exists with the widely-used ratio of coefficients approach to
calculating willingness to pay (WTP) from discrete choice models. The correctly calculated …

Our original article proposed that the two yes–no willingness-to-pay (WTP) responses
produced by this survey format should be viewed as a pair of jointly distributed (correlated) …