This paper provides with a review of the state of the art of environmental valuation with
discrete choice experiments (DCEs). The growing body of literature on this field serves to …

Background Latent class analysis (LCA) has been increasingly used to explore preference
heterogeneity, but the literature has not been systematically explored and hence best …

Best-worst scaling (BWS) is an extension of the method of paired comparison to multiple
choices that asks participants to choose both the most and the least attractive options or …

Discrete choice experiments (DCEs) are regularly used in health economics to elicit
preferences for healthcare products and programmes. There is growing recognition that …

Latent GOLD 5.1 Basic implements the most important types of latent class (LC) and finite
mixture (FM) models in three submodules called Cluster, DFactor, and Regression. It also …

We review and discuss recent developments in best–worst scaling (BWS) that allow
researchers to measure items or objects on measurement scales with known properties. We …

We focus on predicting the adoption time probabilities of photo-voltaic solar panels by
households using discrete choice experiments and an innovation diffusion model. The …

This study examines the importance consumers attach to wine back label statements when
choosing wine and identifies the utility of these attributes relative to price. Ten different back …

We show how to combine statistically efficient ways to design discrete choice experiments
based on random utility theory with new ways of collecting additional information that can be …

Using a discrete choice experimental approach and associated Scale-Adjusted Latent Class
Model (SALCM), we quantify the relative value early career teachers (ECTs) place on …