Discrete choice experiments (DCEs) often present concise choice scenarios that may appear incomplete to respondents. To allow respondents to express uncertainty arising from this incompleteness, DCEs may ask them to state probabilities with which they expect to make specific choices. The...

Discrete choice experiments (DCEs) often present concise choice scenarios that may appear incomplete to respondents. To allow respondents to express uncertainty arising from this incompleteness, DCEs may ask them to state probabilities with which they expect to make specific choices. The...

The maximum simulated likelihood estimation of random parameter logit models is now commonplace in various areas of economics. Since these models have non-concave simulated likelihood functions with potentially many optima, the selection of "good" starting values is crucial for avoiding a false...

This paper describe Iclogit, a Stata module to fit latent class logit models through the Expectation-Maximization algorithm. The stability of this estimation method allows overcoming some of the computational difficulties that normally arise when fitting such models with many latent classes....

In this article, we describe lclogit, a Stata command for fitting a discrete-mixture or latent-class logit model via the expectation-maximization algorithm. Copyright 2013 by StataCorp LP.

The problem of unstable coecients in the rank-ordered logit model has been traditionally interpreted as a sign that survey respondents fail to provide reliable ranking responses. This paper shows that the problem may embody the inherent sensitivity of the model to stochastic misspecification...

Several empirical studies conclude that a majority of economic agents ignore some of observed product attributes when choosing among discrete alternatives. Many of these ndings are based on latent class logit with partially constrained support points wherein the share of each point is...

This paper describes lclogit, a Stata module for estimating a discrete mixture or latent class logit model via the EM algorithm.