The Effect of Income and Food Programs on Dietary Quality: A Seemingly Unrelated Regression Analysis with Error Components

Parke Wilde (), Paul McNamara and Christine K. Ranney

American Journal of Agricultural Economics, 1999, vol. 81, issue 4, 959-971

Abstract: This article employs new Food Guide Pyramid servings data to measure how food intake is affected by income and two food programs. The analysis uses a maximum likelihood estimator that combines the seemingly unrelated regression and one-way error component models, to account for two types of intrahousehold correlations. Participation in the Food Stamp Program is associated with higher intake of meats, added sugars, and total fats. Participation in the Special Supplemental Nutrition Program for Women, Infants, and Children is associated with lower intake of added sugars. Copyright 1999, Oxford University Press.

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (41)

Downloads: (external link)
http://hdl.handle.net/10.2307/1244338 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:81:y:1999:i:4:p:959-971

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().