This study examines imposing and testing restrictions on preference variables in the Rotterdam model through the impacts of these variables on marginal utilities. An empirical analysis of the impact of a female labor force participation variable in a Rotterdam demand system for fresh fruit...

This study adopted the scaling approach to examine the impacts of inventories on tuna auction prices in Japan using the Rotterdam inverse demand system. The inclusion of two inventory variables in the model only increases the number of parameters by two. Results indicate that frozen tunas are...

Nielsen ScanTrack data were used to study how income and prices influenced consumer juice beverage demand in the United States during the period from 1988-89 through 1991-92. Alternative differential demand models combining the features of the Rotterdam model and the almost ideal demand system...

An ordered probit model is used to investigate the factors that determine post-choice satisfaction of southeastern U.S. dairy farmers with their milk handlers. The impact on farmer satisfaction of milk handler attributes, farm/farmer characteristics, and farm location is tested. Results support...

This study extends Barten's synthetic demand modeling approach to increase the flexibility of the uniform substitute specification of the Rotterdam demand system. Marginal propensities to consume (MPC) vary with budget shares and Slutsky coefficients are defined in terms of varying MPCs. An...

A structural probit model is estimated to determine the change in the probability of selecting a milk handler. Cooperatives are thought to have lower prices and higher deductions than independent milk handlers and these factors reduce the probability that a farmer will select a cooperative by...

This study considers incorporating changes in technology in the differential input demand system through effects on output and input marginal products. The effects of technology on input demand are related to Slutsky coefficients and input shares of marginal cost. Technology effects on...