The present paper studies the dynamics of unemployment determinants and their influence on aggregate well-being, using micro-data from the ENFT and a Logit model combined with micro-simulation techniques. The results confirm that the unemployment probability of the economically active people is...

This paper empirically applies the statistical approaches to the phenomenon of polarization generated by Esteban, et al. (1999) and Gradín (2000) in order to quantify the evolution of the middle class in Mexico and the role of various household attributes in the formation of groups during...

The purpose of this paper is to present a new kind of discrete choice model called "Generalized Neural Logit Model" applied exemplarily to the case of airport and access mode choice. This approach employs neural networks to model the utility function of a discrete choice model and correlations...

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.