A finite probability mixture model is combined with a contingent valuation model to analyze the existence of differential market segments in a hypothetical market. The approach has at least two principle benefits. First, the model is capable of identifying market segments within the hypothetical...

This paper considers estimation and inference for the binary response model in the case where endogenous variables are included as arguments of the unknown link function. Semiparametric estimators are proposed that avoid the parametric assumptions underlying the likelihood approach as well as...

Replaced with revised version of paper 05/29/04.

A generalized maximum entropy estimator is developed for the linear simultaneous equations systems model. We provide results on large and small sample properties of the estimator. Empirical results illustrate efficiency advantages of the generalized maximum entropy estimator proposed in this...

The purpose of this paper is to utilize the generalized method of moments (GMM) approach for estimating a system of multivariate Tobit equations and propose a practical consistent estimator of model parameters. The GMM approach is based on a common set of general marginal and bivariate moment...

Information theoretic estimators are specified for a system of linear simultaneous equations, including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood. Monte Carlo experiments are used to compare finite sample performance of these...

We investigate oligopolistic competition between U.S. and Chinese apple exporters in the ASEAN market using strategic trade theory and the NEIO literature. We also analyze competition in the U.S. and Chinese domestic markets. U.S. supplies higher quality apples to ASEAN than China, resulting in...