The authors examine the small sample properties and forecasting performance of estimators In models using the Box-Cox transformation via a Monte Carlo experiment They develop a simple,estimator for the expected value of the untransformed dependent variable They show that the sign and magnitude...

This paper introduces a new method for defining poverty lines based on an individual' s self-evaluation of the household's present situation. The proposed method focuses on the minimum household income necessary to purchase food supplies evaluated by society to be barely adequate. The method is...

This paper analyzed, via a multinomial logit model, the associations between household socioeconomic characteristics and the reasons eligible households give for not entering the Food Stamp Program. Data were taken from the 1979-80 Low Income Supplemental Sample of the USDA Nationwide Food...

A comprehensive model is developed to measure the extent that nutrition knowledge and diet-health awareness, among other factors, influence an individual's Healthy Eating Index (HEI), USDA's measure of overall diet quality. This is the first study that rigorously attempts to examine variation in...

This paper analyzes the influence of error-term specification and functional form on a quarterly demand model for beef. The Box-Cox transformation is used to generalize the functional form while the equation error term is postulated to be both heteroskedastic and autoregressive. Results...

A two equation model is developed to examine jointly the determinants of household food stamp program participation and program effects on food expenditures. The model is unique in that it postulates that the participation decision is based on a cost-benefit ratio, selected socioeconomic...