Data are available at: http://www.cnpp.usda.gov/USDAFoodPlansCostofFood.htm

We examine the association between food expenditure and overall diet quality using a model where we assumed dietary quality is a function of health conditions, life style choices, total food expenditures, and socio-economic status. We use cross-sectional data from the National Health and...

The 1991 Latvia household budget survey provided data for establishing basic information about food consumption levels and patterns in Latvia during the first year of major economic reforms. This study evaluates one aspect of economic decision making of households: how income is allocated for...

Paper for presentation at the Northeastern Agricultural & Resource Economics Association’s Workshop on Economics and Child Nutrition Programs, AAEA & NAREA Joint Annual Meeting, Pittsburgh, Pennsylvania, July 23, 2011.

Finisher hog production in North America has seen a shift toward larger production units and contract-organized production since circa 1990. Given the efficiency gains and conversion costs associated with contract production, growers may have to choose between long term commitment through...

When using household-level data in examining consumer's demand it is common to find that consumers purchase only a subset of the available goods, setting the demand for the remaining goods to zero. Ignoring such censoring of the dependent variables in the estimation can lead to biased parameter...

We study the determinants of somatic cell count (SCC) for fluid milk among U.S. dairies. We synthesize much of the work that has been done to model SCC economically in order to identify the potential impacts of buyer-imposed penalties and incentives within the supply chain. Additionally we...

The linear approximate version of the almost ideal demand system (LA-AIDS) model is estimated using data from the Lithuanian household budget survey (HBS) covering the period from July 1992 to December 1994. Price and real expenditure elasticities for 12 food groups were estimated based on the...

Incorporating dynamics such as habit formation in analysis of demand can make estimation more reliable and help to explain the “stickiness” in consumer demand behavior when consumers receive new information about products, such as a food safety event or recall. Scanner data allow many...

Incorporating dynamics such as habit formation in analysis of demand can make estimation more reliable and help to explain the “stickiness” in consumer demand behavior when consumers receive new information about products, such as a food safety event or recall. Scanner data allow many...