An analytical framework to assess the effects of changing income and socio-demographic distributions on aggregate food demand functions in transitional economies is presented. Ignoring such distributional effects can lead to biased estimates of aggregate demand elasticities. The proposed method...

Many seasonal workers are housed in transitory accommodations, including tents and vehicles. In this study, we analyze the supply side of this problem by assuming that a public agent must house the workers through direct public investment. A peak load model is adapted to develop investment rules...

In this paper we illustrate the use of alternative truncated regression estimators for the general linear model. These include variations of maximum likelihood, Bayesian, and maximum entropy estimators in which the error distributions are doubly truncated. To evaluate the performance of the...

A 46-equation econometric model of the U.S. potato market was developed. The model examines the determination of planted acreage, yield, production, and farm prices in the Pacific Northwest and in five other producing regions which compete with Northwest production. National demand relationships...

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...