This paper conducts a Monte Carlo analysis of the size and power properties of combining choice set partition tests of the IIA property of the Logit model. On the basis of this comparison we recommend that applied researchers testing for IIA calculate all versions of the McFadden, Train and Tye...

At present, there appears to be no qualitative dependent model that can simultaneously account for data sets in which the variable of interest is potentially ordered but also has strong heterogeneity of the observed outcomes. This heterogeneity of particular outcomes, inherently attracts...

In this paper we present an econometric framework for modeling occupational choice that allows us to separately, and simultaneously, model supply-side and demand-side influences whilst allowing for potential ordering with regard to skill levels across occupations.

This research proposes that, in cases where threshold covariates are either unavailable or difficult to observe, practitioners should treat these characteristics as latent, and use simulated maximum likelihood techniques to control for them. Two econometric frameworks for doing so in a more...

Data for discrete ordered random variables are often characterised by "excessive" zero observations. Traditional ordered probit models have limited capacity in explaining the preponderance of zero observations, especially when the zeros may relate to two distinct situations of non-participation...