A two-step model with sample selection is applied to panel data of U.S. households to estimate at-home demand for fluid milk and cheese, incorporating advertising expenditures. The model consistently accounts for sample-selection bias, unobserved household heterogeneity, and temporal...

Consistent two-step censored estimation is applied to household demand equations for disaggregated milk and cheese products. The long-run advertising elasticity for total milk was positive, largely due to low fat milk; however the elasticity for cheese was not significant, and only shredded...

This study develops an empirical framework that can be used to estimate quality-adjusted price elasticities from cross-sectional data, which are theoretically consistent and comparable to elasticities from time-series data. The new approach shows the importance of properly adjusting for quality...

Kuhn-Tucker approach and its dual have been proposed to the demand system estimation when there are non-negativity bindings. However, empirical researchers have been struggling two decades in applying this method into practice due to: (1) the difficulty in derivation of a coherent econometric...

In this study, we develop and estimate a censored LA/AIDS model using household-level purchase data. In addition to imposing non-negativitity constraints, we account for the endogeneity of unit value. We address the non-negativity issue using an Amemiya-Tobin approach, which imposes the...

The use of household surveys for demand system estimation necessitates a recognition of purchase censoring that often arises within an analysis of a disaggregated set of commodities. We extend the Amemiya-Tobin demand system approach to an analysis of Mexican household food demand via the use of...

An investigation of the relative costs and benefits of marketing channels used by typical smallscale diversified vegetable crop producers is conducted. Using case study evidence from four small farms in Central New York, this study compares the performance of wholesale and direct marketing...