A Multilevel Approach to Model Obesity and Overweight in the United States

37 Pages Posted: 30 May 2007

See all articles by Bidisha Mandal

Bidisha Mandal

Washington State University - School of Economic Sciences

Wen S. Chern

Ohio State University (OSU) - Department of Agricultural, Environmental & Development Economics

Date Written: March 2007

Abstract

We use a multilevel multinomial econometric approach to model the categories of body mass index as functions of both lifestyle components and external environment. Among state level variables, higher per-capita sales of restaurants and higher Gini coefficient are associated with higher rates of obesity and overweight. Higher state unemployment rate is associated with higher prevalence of obesity and overweight among women. At the individual level, gain in income increase likelihood of women being healthier, but men being more likely to be overweight. Higher education, regular exercise and sufficient consumption of fruits and vegetables are beneficial to curb obesity.

Keywords: Obesity, Overweight, Multilevel multinomial model

JEL Classification: C35, I12, I18

Suggested Citation

Mandal, Bidisha and Chern, Wen Shyong Charlie, A Multilevel Approach to Model Obesity and Overweight in the United States (March 2007). Available at SSRN: https://ssrn.com/abstract=989227 or http://dx.doi.org/10.2139/ssrn.989227

Bidisha Mandal (Contact Author)

Washington State University - School of Economic Sciences ( email )

Pullman, WA 99164
United States

Wen Shyong Charlie Chern

Ohio State University (OSU) - Department of Agricultural, Environmental & Development Economics ( email )

2120 Fyffe Rd
Columbus, OH 43210-1067
United States

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