We estimate a discrete-continuous model of vehicle demand and use for the Belgian region of Flanders, combining the results of the official regional travel survey with a detailed database of vehicle characteristics. The overall predictive value of the submodel predicting the number of vehicles...

This paper proposes a fully nonparametric framework to estimate relative efficiency of entities while accounting for a mixed set of continuous and discrete (both ordered and unordered) exogenous variables. Using robust partial frontier techniques, the probabilistic and conditional...

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...

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....

The following thesis compares the performance of several parametric and semiparametric estimators in binary choice models using the method of Monte Carlo studies. Particularly, the thesis compares estimators of the parametric linear probability-, logit- and probit model, a model derived from...

The aim of this study is to analyze and compare the results from Propensity Score Matching (PSM) and Spatial Hedonic Prices (SHP) methodologies estimating value fluctuations on residential proprieties in Bogotá (Colombia). Specifically, this study examines value fluctuations on residential...