The rank-ordered logit model's coefficients often vary significantly with the depth of rankings used in the estimation process. The common interpretation of the unstable coefficients across ranks is that survey respondents state their more and less preferred alternatives in an incoherent manner....

This paper describes Stata command lclogit2, an enhanced version of lclogit (Pacifico and Yoo, 2013). Like its predecessor, lclogit2 uses the Expectation-Maximization (EM) algorithm to estimate latent class conditional logit (LCL) models. But it executes the EM algorithm's core algebraic...

The aim of this paper is to introduce labour supply behaviour in an arithmetic microsimulation model so as to take into account changes in labour supply when a new policy is evaluated. I explore the performance of a labour supply estimation method based on a discrete choice set. The idea behind...

The aim of this paper is to analyse the role of unobserved heterogeneity in structural discrete choice models of labour supply for the evaluation of tax-reforms. Within this framework, unobserved heterogeneity has been estimated either parametrically or nonparametrically through random co-...

This pdf contains a do file that shows how to estimate a latent class discrete choice panel data model in Stata via Maximum Likelihood and an EM algorithm.

The aim of this paper is to analyse the role of unobserved heterogeneity in structural discrete choice models of labour supply for the evaluation of tax-reforms. Within this framework, unobserved heterogeneity has been estimated either parametrically or nonparametrically through random co-...

The aim of this paper is to analyse the role of unobserved preference heterogene- ity in structural discrete choice models of labor supply. Within this framework, unobserved heterogeneity has been estimated either parametrically or nonpara- metrically through random coefficient models....