The aim of this research is to investigate and develop methods for building confidence
intervals (CIs) for parameter functions of discrete choice models, with a special focus on the …

This paper systematically compares methods to build confidence intervals for willingness to
pay measures in a discrete choice context. It contributes to the literature by including …

This paper systematically compares finite sample performances of methods to build
confidence intervals for willingness to pay measures in a choice modeling context. It …

This article assesses how the form of the utility function in discrete-choice experiments
(DCEs) affects estimates of willingness-to-pay (WTP). The utility function is usually assumed …

Efficient experimental designs offer the potential to reduce confidence intervals for
parameters of interest in choice models, or to reduce required sample sizes. C-efficiency …

We introduce a protocol for measuring the external validity of competing Willingness-To-Pay
(WTP) distributions derived from Random Parameter models for a given set of Discrete …

2 general discrete choice literature (eg, Manski [27], Cosslett [5], Stoker [34], and Matzkin
[29]), with studies appearing directly in the CV literature only more recently (eg, Kriström [26] …

Two prominent approaches exist nowadays for estimating the distribution of willingness-to-
pay (WTP) based on choice experiments. One is to work in the usual preference space in …