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 …

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 …

Standard procedures for extractingwillingness-to-pay (WTP) from dichotomouschoice CV
questionnaires rely heavily uponparametric assumptions regarding thedistribution and form …

There is a small but growing literature that promotes the derivation of distributions of
willingness-to-pay (WTP) estimates using information specific to each individual …

Monte Carlo evidence has shown that simple, misspecified referendum contingent valuation
(CV) models sometimes lead to good estimates of mean willingness to pay (WTP). Empirical …

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 …

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 …

Estimation of welfare measures is often a dominant driver in the empirical literature on
nonmarket valuation. To this end, qualitative choice models based on random utility theory …

The estimates of mean WTP are typically of main interest in non-market valuation studies. In
the case of mixed logit models the distribution of WTP for an attribute is derived from the …

In this study, we use data from an induced value choice experiment to compare estimates
from mixed logit models in willingness to pay (WTP) space using different parameter …