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Linking Diet-Health Behaviour and Obesity using Propensity Score Matching

Listed author(s):
  • Bemile, Esther
  • Anders, Sven M.

This paper quantifies the impact of consumer’s diet-health behaviours on an important health outcome. We use data from the 2007-2008 U.S. NHANES to estimate the impact of dietary supplement intake on respondent’s BMI outcomes, controlling for diet quality using Healthy Eating Index scores. The analysis applies propensity score matching (PSM) to account for selection bias and endogeneity between self-reported diet and health behaviour (treatment) and BMI outcomes. Dietary supplement choices are explained by demographic, lifestyle, food culture and food security variables. Matching results suggest that regular dietary supplement consumption is associated with significant lower BMI outcomes of almost 1 kg/m2.

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File URL: http://purl.umn.edu/182832
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Paper provided by European Association of Agricultural Economists in its series 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia with number 182832.

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Date of creation: Aug 2014
Handle: RePEc:ags:eaae14:182832
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  1. Christiane Schroeter & Sven Anders & Andrea Carlson, 2013. "The Economics of Health and Vitamin Consumption," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(1), pages 125-149.
  2. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
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  7. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
  8. Jaehong Park & George C. Davis, 2001. "The Theory and Econometrics of Health Information in Cross-Sectional Nutrient Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 840-851.
  9. Benjamin L. Campbell & Rodolfo M. Nayga & John L. Park & Andres Silva, 2011. "Does the National School Lunch Program Improve Children's Dietary Outcomes?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 1099-1130.
  10. Inas Rashad & Michael Grossman & Shin-Yi Chou, 2006. "The Super Size of America: An Economic Estimation of Body Mass Index and Obesity in Adults," Eastern Economic Journal, Eastern Economic Association, vol. 32(1), pages 133-148, Winter.
  11. Odelia Rosin, 2008. "The Economic Causes Of Obesity: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 22(4), pages 617-647, 09.
  12. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, 02.
  13. Kenkel, D.S., 1989. "Should You Eat Breakfast? Estimates From Health Production Functions," Papers 9-90-8, Pennsylvania State - Department of Economics.
  14. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
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