Rationale: Data from discrete choice experiments are usually analysed using probit or logit models or random effects extensions of these. These approaches produce estimates of the mean taste weights attributed to the attributes in the experiment by the sampled individuals. Further, if a cost...

This study examines jobseekers’ preferences for job attributes and explores heterogeneity across sociodemographic groups, based on a choice experiment where approximately 1850 clients of the Flemish Public Employment Service (PES) who became unemployed 5 to 6 months before, and around 2000...

The "workhorse" model for analysing discrete choice data, the conditional logit model, can be implemented in Stata using the official clogit and asclogit commands. While widely used, this model has several well-known limitations that have led researchers in various disciplines to consider more...

This study elicits individual preferences for reducing morbidity and mortality risk in the context of an infectious disease (campylobacter) using choice experiments. Respondents are in the survey asked to choose between different policies that, in addition to the two health risks, also vary with...

There is interest in the use of discrete choice experiments that include a duration attribute (DCETTO) to generate health utility values, but questions remain on its feasibility in large health state descriptive systems. This study examines the stability of DCETTO to estimate health utility...

This paper compares the small-sample properties of several asymptotically equivalent tests for heteroscedasticity in the conditional logit model. While no test outperforms the others in all of the experiments conducted, the likelihood ratio test and a particular variety of the Wald test are...