The following paper outlines a new econometric model designed to capture both the temporal and spatial dynamics of housing prices. The paper combines existing spatial econometric techniques with a model that allows parameters to evolve over time. In addition, we provide an empirical application...

The main area of focus in this paper is variation across regions and over time in the U.S. as estimated by different food price data sets. There are a variety of potential sources for food price data, but it is important to compare the relative strengths and weaknesses of the data sources in...

Replaced with revised version of paper 07/18/08.

As an increasing number of consumers shift to demand products on the basis on production practices, animal welfare protocols, human rights initiatives, it is becoming important that we develop new tools for evaluating the decision-making frameworks in the ethical products market place. This...

In this study we estimated the price elasticities among meats, vegetables, grains, and potatoes and the impact that different levels of income have on the demand for these commodities. The 2005 Nielsen retail home scan data were used to construct a censored demand system of 14 equations. Results...

A random utility approach is used to estimate logit equations which indicate what factors affect the likelihood of consumption of non-GM and GM foods, and, whether or not consumers are willing to pay a premium for non-GM/GM foods. Ceteris paribus as the price difference between non-GM and GM...

This paper investigates the impact of geographical origin labels on consumers' preferences. Specifically, we consider the preferences of Canadian consumers for extra virgin olive oils marketed with country-of-origin labels (COOL) and geographical indications (GIs). In contrast to previous...

We examine consumer demand for organic and conventional fruits by estimating a censored demand system, using Nielsen's Homescan data. Sociodemographic characteristics and income are found to be significant factors of organic fruit consumption. Consumers are responsive to own-price changes in...

This paper explores the use of quantile regression for estimation of empirical confidence limits for WASDE forecasts of corn, soybean, and wheat prices. Quantile regressions for corn, soybean, and wheat forecast errors over 1980/81 through 2006/07 were specified as a function of forecast lead...

When using household-level data in examining consumer's demand it is common to find that consumers purchase only a subset of the available goods, setting the demand for the remaining goods to zero. Ignoring such censoring of the dependent variables in the estimation can lead to biased parameter...