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 article is an empirical study of residential land values in the vicinity of the TransMilenio system (Bus Rapid Transit, BRT) in Bogota´ (Colombia). The results have been established through impact evaluation by means of nonparameteric approaches (Propensity Score Matching, PSM) and...

The purpose of the paper is to present a novel approach of a general airport and access mode choice model. Based on data of the German Air Traveller Survey 2003 with a sample size of about 210.000 passengers interviewed at 21 airports a three-stage nested logit model has been estimated in a...

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 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...

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 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 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...

The purpose of the paper is to present a novel approach of a general airport and access mode choice model. Based on data of the German Air Traveller Survey 2003 with a sample size of about 210.000 passengers interviewed at 21 airports a three-stage nested logit model has been estimated in a...

Most existing semi-parametric estimation procedures for binary choice models are based on the maximum score, maximum likelihood, or nonlinear least squares principles. These methods have two problems. They are difficult to compute and they may result in multiple local optima because they require...