IDEAS home Printed from https://ideas.repec.org/p/ags/aaea26/404461.html

Can Temperature Shock Lead to Higher Spending on Unhealthy Foods among U.S. Households

Author

Listed:
  • Adhikari, Prabin
  • Kassas, Bachir
  • Nayga, Rodolfo

Abstract

Rising temperatures may influence everyday food choices in ways that have important implications for nutrition and public health. This paper studies how short-run exposure to extreme temperatures affects the composition of household grocery purchases in the United States. Using a nationally representative household panel dataset of grocery transactions merged with local weather information, we exploit within-household variation and estimate two-way fixed effects models to identify causal effects. We find that hotter weeks consistently shift food purchases toward less healthy items and reduce overall diet quality, with little change in total grocery spending. In contrast, unusually cold weeks lead to slight increases in total spending but do not significantly alter the nutritional composition of purchases. These results suggest that heat exposure primarily induces households to reallocate spending toward less healthy foods rather than to change how much they spend, whereas cold exposure mainly affects the volume of groceries purchased. The heat-induced effects on healthiness of food purchases are modest in the short run but are highly robust and more pronounced for households with less healthy baseline purchasing patterns. These findings highlight an underexplored channel through which rising temperatures may degrade diet quality, underscoring the potential public health and welfare costs of climate change.

Suggested Citation

  • Adhikari, Prabin & Kassas, Bachir & Nayga, Rodolfo, 2026. "Can Temperature Shock Lead to Higher Spending on Unhealthy Foods among U.S. Households," 2026 Annual Meeting, July 26 - 28, 2026, Kansas City, Missouri 404461, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea26:404461
    DOI: 10.22004/ag.econ.404461
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/404461/files/177522_193941_115232_weather_shock_food_choices_AAEA.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.404461?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Kenney, E.L. & Long, M.W. & Cradock, A.L. & Gortmaker, S.L., 2015. "Prevalence of inadequate hydration among US children and disparities by gender and race/ethnicity: National Health and Nutrition Examination Survey, 2009-2012," American Journal of Public Health, American Public Health Association, vol. 105(8), pages 113-118.
    Full references (including those not matched with items on IDEAS)

    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. Dichev, Ilia D. & Qian, Jingyi, 2022. "The benefits of transaction-level data: The case of NielsenIQ scanner data," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    2. Feng, Junlong & Lee, Sokbae, 2025. "Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds," Journal of Econometrics, Elsevier, vol. 247(C).
    3. Martin O'Connell & Pierre Dubois & Rachel Griffith, 2022. "The Use of Scanner Data for Economics Research," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 723-745, August.
    4. Noriko Amano, 2018. "Nutrition Inequality: The Role of Prices, Income, and Preferences," 2018 Meeting Papers 453, Society for Economic Dynamics.
    5. Giuntella, Osea & Rieger, Matthias & Rotunno, Lorenzo, 2020. "Weight gains from trade in foods: Evidence from Mexico," Journal of International Economics, Elsevier, vol. 122(C).
    6. Huang, Wei & Xiang, Keyan & Yu, Xi & Zou, Hong, 2025. "Polluted air, healthier diets: Household food consumption patterns in response to air quality in China," Journal of Health Economics, Elsevier, vol. 104(C).
    7. Bonnet, Céline & Détang-Dessendre, Cécile & Orozco, Valérie & Rouvière, Elodie, 2022. "Spatial spillovers, living environment and obesity in France: Evidence from a spatial econometric framework," Social Science & Medicine, Elsevier, vol. 305(C).
    8. Fernández Guerrico, Sofía, 2021. "The effects of trade-induced worker displacement on health and mortality in Mexico," Journal of Health Economics, Elsevier, vol. 80(C).
    9. repec:osf:osfxxx:5xerm_v1 is not listed on IDEAS
    10. Muriuki, James & Lawani, Abdelaziz, 2025. "Regional Disparities and Determinants of SNAP Store Retention in the U.S.: A Survival Analysis and Machine Learning Approach," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360881, Agricultural and Applied Economics Association.
    11. Hut, Stefan, 2020. "Determinants of Dietary Choice in the US: Evidence from Consumer Migration," Journal of Health Economics, Elsevier, vol. 72(C).
    12. Yang, Bixuan & Asche, Frank & Li, Tao, 2021. "Food Price Inflation and Demand Shocks: Evidence from Chinese Cities during the Covid-19 Epidemic," 2021 Annual Meeting, August 1-3, Austin, Texas 314067, Agricultural and Applied Economics Association.
    13. Bruno Larue, 2020. "Labor issues and COVID‐19," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(2), pages 231-237, June.
    14. Cody Cook & Rebecca Diamond & Jonathan V Hall & John A List & Paul Oyer, 2021. "The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(5), pages 2210-2238.
    15. repec:ags:aaea22:343976 is not listed on IDEAS
    16. Huseynov, Samir & Palma, Marco A. & Ahmad, Ghufran, 2021. "Does the magnitude of relative calorie distance affect food consumption?," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 530-551.
    17. Damian Wiśniewski & Ewa Śliwicka & Jakub Malik & Krzysztof Durkalec-Michalski, 2021. "Evaluation of Fluid Loss and Customary Fluid Intake among a Selected Group of Young Swimmers: A Preliminary Field Study," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    18. Nano Barahona & Cristóbal Otero & Sebastián Otero, 2023. "Equilibrium Effects of Food Labeling Policies," Econometrica, Econometric Society, vol. 91(3), pages 839-868, May.
    19. Abe Dunn & Mahsa Gholizadeh, 2025. "The Geography of Consumption and Local Economic Shocks: The Case of the Great Recession," American Economic Journal: Macroeconomics, American Economic Association, vol. 17(2), pages 206-244, April.
    20. Brancatelli, Calogero & Inderst, Roman, 2021. "Income and Consumption over the Business Cycle: Evidence from Matched Administrative Data," EconStor Preprints 253665, ZBW - Leibniz Information Centre for Economics.
    21. Awad, Koroles & Ehmke, Mariah D. & McCluskey, Jill J. & Okrent, Abigail M., 2024. "Ultra-processed Food Demand across the Lifecycle: Implications for Obesity in the United States," 2024 Annual Meeting, July 28-30, New Orleans, LA 343976, Agricultural and Applied Economics Association.
    22. Mishra, Sabyasachee & Sharma, Ishant & Pani, Agnivesh, 2023. "Analyzing autonomous delivery acceptance in food deserts based on shopping travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).

    More about this item

    Keywords

    ;

    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:ags:aaea26:404461. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.