In this study, we measure willingness to pay for E10 fuel by US consumers employing a contingent valuation technique in a simultaneous latent variable equation framework. The simultaneous equation framework helps us to understand the way consumers' perceptions about ethanol are developed and...

Traditional labor supply analysis is based on the assumption that workers only have preferences over consumption and hours of work, and are able to choose consumption and hours freely within the budget constraint. Recently, various discrete choice versions of the traditional approach (with...

The research deals with the use of the stated preference technique (SP) and transport demand modelling to analyse travel mode choice behaviour for commuting urban trips in Palermo, Italy. The principal aim of the study was the calibration of a demand model to forecast the modal split of the...

We provide a gentle overview of modeling choice data, with an emphasis on statistical models that allow treating both observed and unobserved effects due to the decision makers and choice options. We first consider the situation when decision makers express their preferences in the form of...

During the last two decades, the discrete-choice modelling of labour supply decisions has become increasingly popular, starting with Aaberge et al. (1995) and van Soest (1995). Within the literature...

This paper uses a choice based conjoint analysis in an attempt to develop a consumer profile for the new market for black consumers. Although the different statistical packages used variants of the MNL model, the results were significantly similar with no contradictions in their results and the...

We analyze the use of discrete choice models for the estimation of risk aversion and show a fundamental flaw in the standard random utility model which is commonly used in the literature. Specifically, we find that given two gambles, the probability of selecting the riskier gamble may be larger...

This paper is concerned with semiparametric estimation of a threshold binary response model. The estimation method considered in the paper is semiparametric since the parameters for a regression function are finite-dimensional, while allowing for heteroskedasticity of unknown form. In...