IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2023-46.html
   My bibliography  Save this paper

Termination of SNAP Emergency Allotments, Food Sufficiency, and Economic Hardships

Author

Abstract

To meet the rising need for food and nutrition assistance during the pandemic in the United States, all states were approved to provide Emergency Allotments (EA) to households enrolled in the Supplemental Nutrition Assistance Program (SNAP). In this analysis, we use the Census Bureau’s Household Pulse Surveys and exploit staggered state-level variation in dissolution of the SNAP EA payments to study whether the end of EA is associated with food-related challenges and economic hardships. Our findings indicate that EA termination is followed by a decrease in the likelihood that adult survey respondents had sufficient food for consumption and an increase in the probability of experiencing difficulty in paying meeting with usual household expenses. These findings provide policy-relevant insights into the potential impact of the nationwide termination of the EA payments that came into effect in early 2023.

Suggested Citation

  • Kabir Dasgupta & Alexander Plum, 2023. "Termination of SNAP Emergency Allotments, Food Sufficiency, and Economic Hardships," Finance and Economics Discussion Series 2023-046, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2023-46
    DOI: 10.17016/FEDS.2023.046
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/feds/files/2023046pap.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.17016/FEDS.2023.046?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. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    2. Toossi, Saied & Jones, Jordan W & Hodges, Leslie, 2021. "The Food and Nutrition Assistance Landscape: Fiscal Year 2020 Annual Report," Economic Information Bulletin 327366, United States Department of Agriculture, Economic Research Service.
    3. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    4. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    5. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    6. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    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. Kayaoglu, Aysegul, 2022. "Do refugees cause crime?," World Development, Elsevier, vol. 154(C).
    2. Coraggio, Luca & Pagano, Marco & Scognamiglio, Annalisa & Tåg, Joacim, 2025. "JAQ of all trades: Job mismatch, firm productivity and managerial quality," Journal of Financial Economics, Elsevier, vol. 164(C).
    3. Alexander Karaivanov & Dongwoo Kim & Shih En Lu & Hitoshi Shigeoka, 2022. "COVID-19 vaccination mandates and vaccine uptake," Nature Human Behaviour, Nature, vol. 6(12), pages 1615-1624, December.
    4. Sho Miyaji, 2024. "Instrumented Difference-in-Differences with Heterogeneous Treatment Effects," Papers 2405.12083, arXiv.org, revised Jan 2025.
    5. Hiroko OKUDAIRA & Miho TAKIZAWA & Kenta YAMANOUCHI, 2022. "Does Employee Downsizing Work? Evidence from Product Innovation at Manufacturing Plants," Discussion papers 22015, Research Institute of Economy, Trade and Industry (RIETI).
    6. Isabelle Chort & Berk Öktem, 2024. "Agricultural shocks, coping policies and deforestation: Evidence from the coffee leaf rust epidemic in Mexico," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 1020-1057, May.
    7. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    8. Bhalotra, Sonia R. & Britto, Diogo & Pinotti, Paolo & Sampaio, Breno, 2021. "Job Displacement, Unemployment Benefits and Domestic Violence," IZA Discussion Papers 14543, Institute of Labor Economics (IZA).
    9. Brice Fabre & Marc Sangnier, 2022. "Where do politicians send pork? Evidence from central government transfers to French municipalities," DeFiPP Working Papers 2202, University of Namur, Development Finance and Public Policies.
    10. Solomon, Keisha T. & Dasgupta, Kabir, 2022. "State mental health insurance parity laws and college educational outcomes," Journal of Health Economics, Elsevier, vol. 86(C).
    11. Fabre, Brice & Sangnier, Marc, 2025. "Where and why do politicians send pork? Evidence from central government transfers to French municipalities," Journal of Public Economics, Elsevier, vol. 241(C).
    12. Lin, Lihua & Zhang, Zhengyu, 2022. "Interpreting the coefficients in dynamic two-way fixed effects regressions with time-varying covariates," Economics Letters, Elsevier, vol. 216(C).
    13. Wang, Zhenxuan & Zhang, Junjie, 2023. "The value of information disclosure: Evidence from mask consumption in China," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
    14. Arold, W. Benjamin & Woessmann, Ludger & Zierow, Larissa, 2022. "Can Schools Change Religious Attitudes? Evidence from German State Reforms of Compulsory Religious Education," IZA Discussion Papers 14989, Institute of Labor Economics (IZA).
    15. Clément de Chaisemartin & Xavier D’Haultfœuille, 2023. "Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: a survey," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 1-30.
    16. Liyang Sun & Jesse M. Shapiro, 2022. "A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure," Journal of Economic Perspectives, American Economic Association, vol. 36(4), pages 193-204, Fall.
    17. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    18. Han, Jixuan & Li, Tianshu & Philbin, Simon P., 2023. "Does low-carbon pilot policy in China improve corporate profitability? The role of innovation and subsidy," Innovation and Green Development, Elsevier, vol. 2(2).
    19. Mac Clay, Pablo & Börner, Jan & Sellare, Jorge, 2023. "Institutional and macroeconomic stability mediate the effect of auctions on renewable energy capacity," Energy Policy, Elsevier, vol. 180(C).
    20. Rik Chakraborti & Gavin Roberts, 2023. "How price-gouging regulation undermined COVID-19 mitigation: county-level evidence of unintended consequences," Public Choice, Springer, vol. 196(1), pages 51-83, July.

    More about this item

    Keywords

    SNAP; Emergency Allotments; Pandemic; Staggered difference-in-differences;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

    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:fip:fedgfe:2023-46. 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: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.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.