The prevalence of obesity has doubled over the last 25 years. We estimate the effects of multiple socio-environmental factors (e.g., physical demands at work, restaurants, food prices, cigarette smoking, food stamps, and urban sprawl) on obesity using NLSY data. Then we use the Oaxaca–Blinder decomposition technique to approximate the contribution of each socio-environmental factor to the increase during this time. Many socio-environmental factors significantly affect weight, but none are able to explain a large portion of the obesity increase. Decreases in cigarette smoking consistently explains about 2–4 % of the increase in obesity and BMI. Food stamp receipt also consistently affects the measures of weight, but the small decrease in food stamp program participation during the period we examine actually dampened the increases in obesity and BMI. Collectively, the socio-environmental factors we examine never explain more than about 6.5 % of the weight increases.
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We use NHANESIII (1984–1994) to adjust 1979-cohort NLSY data and NHANES 1999–2006 data to adjust 1997-cohort NLSY data.
Food-at-home prices, fast-food prices, the number of restaurants, and cigarette prices are state-specific covariates; urbanization is a county-specific covariate; and the other key explanatory variables and all the demographic characteristics are individual-specific covariates.
We use a linear probability model so decomposition results are independent of the order in which the values of the socio-demographic factors are changed.
We include NLSY observations without age restrictions in the regressions to provide additional within-respondent variation, but we decompose the increase in obesity using similarly-aged NLSY respondents (between the ages of 18 and 27).
As robustness checks, we re-estimate specifications with different age limitations (first, only including respondents who are 20 years of age or older and then without age restrictions) and with different parts of the weight distribution (e.g., for BMI). Results are presented in an online appendix.
The United States Department of Agriculture has not implemented any of these suggestions at this time, but California is in the process of funding a program to provide rebates when recipients use their food stamps to purchase fruits and vegetables.
Alston, J. M., Mullally, C. C., Sumner, D. A., Townsend, M., & Vosti, S. A. (2009). Likely effects on obesity from proposed changes to the U.S. Food Stamp Program. Food Policy, 34(2), 176–184.
Baum, C. L. (2007). The effects of race, ethnicity, and age on obesity. Journal of Population Economics, 20(3), 687–705.
Baum, C. L. (2009). The effects of cigarette taxes on obesity. Health Economics, 18(1), 3–19.
Baum, C. L. (2011). The effects of food stamps on obesity. Southern Economic Journal, 77(3), 623–651.
Blinder, A. S. (1973). Wage discrimination: Reduced form and structural variables. The Journal of Human Resources, 8(3), 436–455.
Chen, Z., Yen, S. T., & Eastwood, D. B. (2005). Effects of food stamp participation on body weight and obesity. American Journal of Agricultural Economics, 87(5), 1167–1173.
Chou, S., Grossman, M., & Saffer, H. (2004). An economic analysis of adult obesity: Results from the Behavioral Risk Factor Surveillance System. Journal of Health Economics, 23(3), 565–587.
Courtemanche, C., & Carden, A. (2011). Supersizing supercenters? The impact of Walmart Supercenters on body mass index and obesity. Journal of Urban Economics, 69(1), 165–181.
Cutler, D. M., Glaeser, E. L., & Shapiro, J. M. (2003). Why have Americans become more obese? Journal of Economic Perspectives, 17(3), 93–118.
Eid, J., Overman, H. G., Puga, D., & Turner, M. A. (2008). Fat city: Questioning the relation between urban sprawl and obesity. Journal of Urban Economics, 63(2), 385–404.
Epstein, L. H., Dearing, K. K., Roba, L. G., & Finkelstein, E. (2010). The influence of taxes and subsidies on energy purchased in an experimental purchasing study. Psychological Science, 21(3), 406–414.
Ewing, R., Brownson, R. C., & Berrigan, D. (2006). Relationship between urban sprawl and weight of United States youth. American Journal of Preventative Medicine, 31(6), 464–474.
Ewing, R., Schmid, T., Killingsworth, R., Zlot, A., & Raudenbush, S. (2003). Relationship between urban sprawl and physical activity, obesity, morbidity. American Journal of Health Promotion, 18(1), 47–57.
Field, A. E., Cook, N. R., & Gillman, M. W. (2005). Weight status in childhood as a predictor of becoming overweight or hypertensive in early adulthood. Obesity Research, 13(1), 163–169.
Finkelstein, E. A., Ruhm, C. J., & Kosa, K. M. (2005). Economic causes and consequences of obesity. Annual Review of Public Health, 26, 239–257.
Flegal, K. M., Carroll, M. D., Ogden, C. L., & Curtin, L. R. (2010). Prevalence and trends in obesity among U.S. adults, 1999–2008. Journal of the American Medical Association, 303(3), 235–241.
Fortin, N. M. (2008). The gender wage gap among young adults in the United States: The importance of money versus people. The Journal of Human Resources, 43(4), 884–918.
Gibson, D. (2003). Food Stamp Program participation is positively related to obesity in low income women. Journal of Nutrition, 133(7), 2225–2231.
Grossman, M. (2001). The economics of substance use and abuse: The role of price. In M. Grossman & C. Hsieh (Eds.), Economic analysis of substance use and abuse: The experience of developed countries and lessons for developing countries (pp. 1–30). Cheltenham, U.K.: Edward Elgar Limited.
Grossman, M., Sindelar, J. L., Mullahy, J., & Anderson, R. (1993). Alcohol and cigarette taxes. Journal of Economic Perspectives, 7(4), 211–222.
Gruber, J., & Frakes, M. (2006). Does falling smoking lead to rising obesity? Journal of Health Economics, 25(2), 183–197.
Gutherie, J. F., Frazao, E., Andrews, M., & Smallwood, D. (2007a). Improving food choices—Can food stamps do more. Amber Waves, 5(2), 23–28.
Gutherie, J. F., Lin, B. H., Ver Ploeg, M., & Frazao, E. (2007b). Can food stamps do more to improve food choices. Resource document. United States Department of Agriculture, Economic Research Service, Economic Information Bulletin, Number 29.
Hill, J. O., Wyatt, H. R., Reed, G. W., & Peters, J. C. (2003). Obesity and the environment: Where do we go from here? Science, 299(5608), 853–855.
Lakdawalla, D., & Philipson, T. (2007). Labor supply and weight. The Journal of Human Resources, 42(1), 85–116.
Lopez, R. (2004). Urban sprawl and risk for being overweight or obese. American Journal of Public Health, 94(9), 1574–1579.
Meyerhoefer, C. D., & Pylypchuk, Y. (2008). Does participation in the Food Stamp Program increase the prevalence of obesity and health care spending? American Journal of Agricultural Economics, 90(2), 287–305.
Morland, K., Diez Roux, A. V., & Wing, S. (2006). Supermarkets, other food stores, and obesity: The atherosclerosis risk in communities study. American Journal of Preventative Medicine, 30(4), 333–339.
Nader, P. R., O’Brien, M., Houts, R., Bradley, R., Belsky, J., Crosnoe, R., et al. (2006). Identifying risk for obesity in early childhood. Pediatrics, 118(3), e594–e601.
Neumark, D. (1988). Employer’s discriminatory behavior and the estimation of wage discrimination. The Journal of Human Resources, 23(3), 279–295.
The New York Times. (2010). Calorie data to be posted at most chains. March 23, 2010. http://www.nytimes.com/2010/03/24/business/24menu.html?_r=0.
Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economics Review, 14(3), 693–709.
Oaxaca, R. L., & Ransom, M. R. (1994). On discrimination and the decomposition of wage differentials. Journal of Econometrics, 61(1), 5–21.
Oaxaca, R. L., & Ransom, M. R. (1999). Identification in detailed wage decompositions. Review of Economics and Statistics, 81(1), 154–157.
Plantinga, A. J., & Bernell, S. (2007). The association between urban sprawl and obesity: Is it a two-way street? Journal of Regional Science, 47(5), 857–879.
Rashad, I., & Grossman, M. (2004). The economics of obesity. Public Interest, 156, 104–112.
Rashad, I., Grossman, M., & Chou, S. (2006). The super size of America: An economic estimation of body mass index and obesity in adults. Eastern Economic Journal, 32(1), 133–148.
Rosin, O. (2008). The economic causes of obesity: A survey. Journal of Economic Surveys, 22(4), 617–647.
Rundle, A., Neckerman, K. M., Freeman, L., Lovasi, G. S., Purciel, M., Quinn, J., et al. (2009). Neighborhood food environment and walkability predict obesity in New York City. Environmental Health Perspectives, 117(3), 442–447.
Smith, T. A., Lin, B. H., & Lee, J. (2010). Taxing caloric sweetened beverages: Potential effects on beverage consumption, calorie intake, and obesity. Resource document. United States Department of Agriculture, Economic Research Service, Economic Research Report 100.
Stamford, B. A., Matter, S., Fell, R. D., & Papanek, P. (1986). Effects of smoking cessation on weight gain, metabolic rate, caloric consumption, and blood lipids. The American Journal of Clinical Nutrition, 43(4), 486–494.
Ver Ploeg, M., & Ralston, K. (2008). Food stamps and obesity: What do we know? Resource document. United States Department of Agriculture, Economic Research Service, Economic Information Bulletin, Number 34.
White House Task Force on Reducing Childhood Obesity. (2010). Solving the problem of childhood obesity within a generation. Resource document. Task Force on Childhood Obesity, Domestic Policy Council, May 2010.
Williamson, D. F., Madans, J., Anda, R. F., Kleinman, J. C., Giovino, G. A., & Byers, T. (1991). Smoking cessation and severity of weight gain in a national cohort. New England Journal of Medicine, 324(11), 739–745.
Zhao, Z., & Kaestner, R. (2010). Effects of urban sprawl on obesity. Journal of Urban Economics, 29(6), 779–787.
Financial support for this research has been generously provided by the Center for Consumer Freedom (CCF), although the opinions expressed in this paper are solely those of the authors.
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Baum, C.L., Chou, SY. Why has the prevalence of obesity doubled?. Rev Econ Household 14, 251–267 (2016). https://doi.org/10.1007/s11150-015-9298-5
- Body mass index (BMI)