IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/21600.html
   My bibliography  Save this paper

Diabetes and Diet: Behavioral Response and the Value of Health

Author

Listed:
  • 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
    Note: EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w21600.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oster, Emily, 2012. "HIV and sexual behavior change: Why not Africa?," Journal of Health Economics, Elsevier, vol. 31(1), pages 35-49.
    2. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Harding, Matthew & Lovenheim, Michael, 2017. "The effect of prices on nutrition: Comparing the impact of product- and nutrient-specific taxes," Journal of Health Economics, Elsevier, vol. 53(C), pages 53-71.
    2. Aguilar, Arturo & Gutierrez, Emilio & Seira, Enrique, 2021. "The effectiveness of sin food taxes: Evidence from Mexico," Journal of Health Economics, Elsevier, vol. 77(C).
    3. Griffith, Rachel & von Hinke, Stephanie & Smith, Sarah, 2018. "Getting a healthy start: The effectiveness of targeted benefits for improving dietary choices," Journal of Health Economics, Elsevier, vol. 58(C), pages 176-187.
    4. Younghyeon Jeon & Hoa Hoang & Wyatt Thompson & David Abler, 2024. "A meta‐analysis of U.S. food demand elasticities to detect the impacts of scanner data," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(2), pages 760-780, June.
    5. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2020. "Parents' Demand for Sugar Sweetened Beverages for Their Pre‐School Children: Evidence from a Stated‐Preference Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 480-504, March.
    6. Meade, Birgit & Muhammad , Andrew, 2017. "The Influence of Income and Prices on Global Dietary Patterns by Country, Age, and Gender," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 10, November.
    7. Lichtman-Sadot, Shirlee, 2016. "Does banning carbonated beverages in schools decrease student consumption?," Journal of Public Economics, Elsevier, vol. 140(C), pages 30-50.
    8. Fan, Linlin, 2017. "The Consumer Welfare Impact of Expanding Access to Fruits and Vegetables in Food Deserts," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259164, Agricultural and Applied Economics Association.
    9. Hut, Stefan & Oster, Emily, 2022. "Changes in household diet: Determinants and predictability," Journal of Public Economics, Elsevier, vol. 208(C).
    10. Ezgi Cengiz & Christian Rojas, 2024. "Are food manufacturers reducing sugar content? Evidence from scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 40(3), pages 571-595, July.
    11. Koski, Heli & Kuikkaniemi, Kai & Pantzar, Mika, 2023. "Do Grocery Feedback Systems Enabling Access to Past Consumption Impact Individual Food Purchase Behavior?," ETLA Working Papers 103, The Research Institute of the Finnish Economy.
    12. Hunt Allcott & Rebecca Diamond & Jean-Pierre Dubé & Jessie Handbury & Ilya Rahkovsky & Molly Schnell, 2019. "Food Deserts and the Causes of Nutritional Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1793-1844.
    13. Cengiz, Ezgi & Cengiz, Doruk, 2020. "The Impacts of Soda Taxes in U.S. Localities," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304351, Agricultural and Applied Economics Association.
    14. Zhaoxin Liu & Erik Ansink, 2024. "Price elasticities of meat, fish and plant-based meat substitutes: evidence from store-level Dutch supermarket scanner data," Tinbergen Institute Discussion Papers 24-046/VIII, Tinbergen Institute.
    15. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    16. Cengiz, Ezgi & Rojas, Christian, 2024. "What drives the reduction in sodium intake? Evidence from scanner data," Food Policy, Elsevier, vol. 122(C).
    17. Christian Rojas & Emily Wang, 2021. "Do Taxes On Soda And Sugary Drinks Work? Scanner Data Evidence From Berkeley And Washington State," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 95-118, January.
    18. Rudi, Jeta & Çakır, Metin, 2017. "Vice or virtue: How shopping frequency affects healthfulness of food choices," Food Policy, Elsevier, vol. 69(C), pages 207-217.
    19. Chen Zhen & Mary Muth & Abigail Okrent & Shawn Karns & Derick Brown & Peter Siegel, 2019. "Do differences in reported expenditures between household scanner data and expenditure surveys matter in health policy research?," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 782-800, June.
    20. Hinnosaar, Marit, 2018. "How long do healthy habits last? The role of prices," CEPR Discussion Papers 12815, C.E.P.R. Discussion Papers.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:21600. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.