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Title: Impacts of Economic and Psychological Factors on Women’s Obesity and Food Assistance Program Participation: Evidence from the NLSY Panel
Resulting in 1 citation.
1. Huang, Ying
Huffman, Wallace Edgar
Tegene, Abebayehu
Impacts of Economic and Psychological Factors on Women’s Obesity and Food Assistance Program Participation: Evidence from the NLSY Panel
American Journal of Agricultural Economics 94, 2 (January 2012): 331-337.
Also: http://ajae.oxfordjournals.org/content/94/2/331.abstract
Cohort(s): NLSY79
Publisher: Oxford University Press
Keyword(s): Body Mass Index (BMI); Data Linkage (also see Record Linkage); Food Stamps (see Supplemental Nutrition Assistance Program); Nutritional Status/Nutrition/Consumption Behaviors; Obesity; Regions; Rosenberg Self-Esteem Scale (RSES) (see Self-Esteem); Rotter Scale (see Locus of Control)

Permission to reprint the abstract has not been received from the publisher.

Over the past thirty-five years, the U.S. adult obesity rate has more than doubled from roughly 15% to 35%, reflecting a general diffusion of obesity across all segments of the adult population (USDHHS). Obesity is a concern because it increases the risk for cardiovascular diseases, diabetes, and most forms of cancer, except for lung. Earlier studies of obesity of U.S. adults have largely focused on data in a single cross-section or one round of a panel survey. Chen and Huffman (2010) show that food and drink prices significantly affect U.S. women’s probability of being obese but not for men. However, the impact of individual food and drink prices are not always as expected.

© The Author (2011). Published by Oxford University Press on behalf of the Agricultural and Applied Economics Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Bibliography Citation
Huang, Ying, Wallace Edgar Huffman and Abebayehu Tegene. "Impacts of Economic and Psychological Factors on Women’s Obesity and Food Assistance Program Participation: Evidence from the NLSY Panel." American Journal of Agricultural Economics 94, 2 (January 2012): 331-337.