In applied microeconometric panel data analyses, time-constant random effects and first-order Markov chains are the most prevalent structures to account for intertemporal correlations in limited dependent variable models. An example from health economics shows that the addition of a simple...

EQ-5D is used in cost-e ectiveness studies underlying many important health policy decisions. It comprises a survey instrument generating a description of health states across ve domains, and a system of utility values for each state. The original 3-level version of EQ-5D is being replaced with...

Researchers frequently face applied situations where their measurement of a binary outcome suffers from bias. Social desirability bias in survey work is the most widely appreciated circumstance, but the strategic incentives of human beings similarly induce bias in many measures outside of survey...

We propose a new estimation technique to deal with missing response variables in the context of a nested multinomial logit model. Survey data often have a significant number of incomplete or missing responses. If such data are systematically missing (i.e., not missing at random) and if such...

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...

Probit and logit models typically require a normalization on the error variance for model identification. This paper shows that in the context of sample mean probability decompositions, error variance normalizations preclude estimation of the effects of group differences in the latent variable...

The generalized multinomial logit (GMNL) model nests the random parameters logit (RPL) model and the scale heterogeneity logit (SMNL) model. The RPL model captures the preference heterogeneity among individuals by allowing the coefficients to be random with any distribution. It has been often...

Current research practices include estimation of latent class logits on data collected with discrete choice experiments. This practice relies on a mismatch in the characterization of heterogeneity in preferences: while discrete choice experiments usually assume homogeneity, latent class logits...

This paper introduces a new shifted negative log-normal distribution for the price parameter in Mixed Multinomial logit models. The new distribution, labelled as the u-shifted negative log-normal distribution, has desirable properties for welfare analysis and in particular a point-mass which is...

Discrete choice models are used to investigate the individual's choice among a discrete number of alternatives. The characteristics of each alternative, by means of a multinomial and nested multinomial models have been taken into account. Specifically, this study analyses the impact of choice...