Since the risk of dietary inadequacy or excess is greater at the tails of the nutrient intake distributions than at the mean, marginal effects of explanatory variables estimated at the conditional mean using ordinary least squares may be of limited value in characterizing these distributions....

Nutrition information and intake data for a sample of U.S. household meal planners are used to estimate the effects of fiber-specific information on dietary fiber intake. The information variables are measured using survey questions on fiber content of foods, attitude toward consuming fiber-rich...

This article uses U.S. food consumption data to examine the effect of maternal nutrition knowledge on the dietary intakes of children between two and seventeen years of age. Results show that maternal knowledge influences children's diets and that such influence decreases as children grow older....

Due to heightened public health interest, a growing number of consumer health behaviour studies are focusing on the effect of health information on the demand for health inputs and outcomes. Many of these studies, however, have overlooked the potential endogeneity of information variables...

A quasi-maximum-likelihood estimator is proposed and applied to a censored Translog demand system for foods, using a sample of food stamp recipients in the United States. The procedure produces remarkably close parameter and elasticity estimates to those of the simulated-maximum-likelihood...

Household beverage consumption is investigated using data from the National Food Stamp Program Survey conducted in the United States. A censored Translog demand system is estimated with the full-information maximum-likelihood procedure. All own-price effects are negative and significant, and...