An Inverse Almost Ideal Demand System is utilized to determine the effectiveness of Market Promotion Program (MPP) and Target Export Assistance (TEA) advertising and promotion expenditures in the Japanese market for meat. Using annual data, it is found that beef advertising and promotion has had...

This study revisits the consistent aggregation (over households) property of almost ideal demand system (AIDS) models and presents a method to explicitly account for expenditure aggregation bias when estimating the aggregate AIDS model with time-series data. Ignoring aggregation bias can lead to...

This study revisits the consistent aggregation (over households) property of almost ideal demand system (AIDS) models and presents a method to explicitly account for expenditure aggregation bias when estimating the aggregate AIDS model with time-series data. Ignoring aggregation bias can lead to...

A two-stage budgeting model using Chinese rural survey data is used to assess rural Chinese household food demand. The second-step includes 11 categories including 4 vegetable groups and 3 fruit groups. The results indicate that grains are still important staple foods and that vegetables are...

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...

This paper presents an application of Bayesian analysis to an AIDS model of Japanese meat demand extending previous approaches in three ways: (1) The methodology employed is robust with respect to the likelihood function but retains the generic, easily programmable character of algorithms...

When there is uncertainty concerning the appropriate statistical model to use in representing the data sampling process and corresponding estimators, we consider a basis for optimally combining estimation problems. In the context of the multivariate linear statistical model, we consider a...

This paper introduces a new class of estimators based on minimization of the Cressie-Read (CR) power divergence measure for binary choice models, where neither a parameterized distribution nor a parameterization of the mean is specified explicitly in the statistical model. By incorporating...

This paper presents empirical evidence concerning the finite sample performance of conventional and generalized empirical likelihood-type estimators that utilize instruments in the context of linear structural models characterized by endogenous explanatory variables. There are suggestions in the...