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Diabetes and Diet: Behavioral Response and the Value of Health

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  • Emily Oster

Abstract

Individuals with obesity often appear reluctant to undertake dietary changes. Evaluating the reasons for this reluctance, as well as appropriate policy responses, is hampered by a lack of data on behavioral response to dietary advice. I use household scanner data to estimate food purchase response to a diagnosis of diabetes, a common complication of obesity. I infer diabetes diagnosis within the scanner data from purchases of glucose testing products. Households engage in statistically significant but small calorie reductions following diagnosis. The changes are sufficient to lose 4 to 8 pounds in the first year, but are only about 10% of what would be suggested by a doctor. The scanner data allows detailed analysis of changes by food type. In the first month after diagnosis, healthy foods increase and unhealthy foods decrease. However, only the decreases in unhealthy food persist. Changes are most pronounced on large, unhealthy, food categories. Those individuals whose pre-diagnosis diet is concentrated in one or a few foods groups show bigger subsequent calorie reductions, with these reductions occurring primarily occurring in these largest food groups. I suggest the facts may be consistent with a psychological framework in which rule-based behavior change is more successful. I compare the results to a policy of taxes or subsidies.

Suggested Citation

  • Emily Oster, 2015. "Diabetes and Diet: Behavioral Response and the Value of Health," NBER Working Papers 21600, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21600
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    References listed on IDEAS

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    1. Oster, Emily, 2012. "HIV and sexual behavior change: Why not Africa?," Journal of Health Economics, Elsevier, vol. 31(1), pages 35-49.
    2. Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
    3. Pierre Dubois & Rachel Griffith & Aviv Nevo, 2014. "Do Prices and Attributes Explain International Differences in Food Purchases?," American Economic Review, American Economic Association, vol. 104(3), pages 832-867, March.
    4. Liran Einav & Ephraim Leibtag & Aviv Nevo, 2010. "Recording discrepancies in Nielsen Homescan data: Are they present and do they matter?," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 207-239, June.
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    Cited by:

    1. Itzik Fadlon & Torben Heien Nielsen, 2019. "Family Health Behaviors," American Economic Review, American Economic Association, vol. 109(9), pages 3162-3191, September.
    2. Kim, Hyuncheol Bryant & Lee, Suejin & Lim, Wilfredo, 2017. "Knowing Is Not Half the Battle: Impacts of the National Health Screening Program in Korea," IZA Discussion Papers 10650, Institute of Labor Economics (IZA).
    3. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.

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    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income

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