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Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation

Author

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  • Courtemanche, Charles

    (University of Kentucky)

  • Denteh, Augustine

    (Georgia State University)

  • Tchernis, Rusty

    (Georgia State University)

Abstract

Administrative data are considered the "gold standard" when measuring program participation, but little evidence exists on the potential problems with administrative records or their implications for econometric estimates. We explore issues with administrative data using the FoodAPS, a unique dataset that contains two different administrative measures of Supplemental Nutrition Assistance Pro-gram (SNAP) participation as well as a survey-based measure. We first document substantial ambiguity in the two administrative participation variables and show that they disagree with each other almost as often as they disagree with self-reported participation.Estimated participation and misreporting rates can be meaningfully sensitive to choices made to resolve this ambiguity and disagreement. We then document similar sensitivity in regression estimates of the associations between SNAP and food insecurity, obesity, and the Healthy Eating Index. These results serve as a cautionary tale about uncritically relying on linked administrative records when conducting program evaluation research.

Suggested Citation

  • Courtemanche, Charles & Denteh, Augustine & Tchernis, Rusty, 2018. "Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation," IZA Discussion Papers 11412, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp11412
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    Cited by:

    1. Helen H. Jensen & Brent Kreider & Oleksandr Zhylyevskyy, 2019. "Investigating Treatment Effects of Participating Jointly in SNAP and WIC when the Treatment Is Validated Only for SNAP," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 124-155, July.
    2. Bruce D. Meyer & Nikolas Mittag & Derek Wu, 2024. "Race, Ethnicity and Measurement Error," NBER Chapters, in: Race, Ethnicity, and Economic Statistics for the 21st Century, National Bureau of Economic Research, Inc.
    3. Luis Ayala & Ana Pérez & Mercedes Prieto-Alaiz, 2022. "The impact of different data sources on the level and structure of income inequality," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(3), pages 583-611, September.
    4. Bruce D. Meyer & Nikolas Mittag, 2019. "Misreporting of Government Transfers: How Important Are Survey Design and Geography?," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 230-253, July.
    5. Meyer, Bruce D. & Mittag, Nikolas, 2018. "Misreporting of Government Transfers: How Important Are Survey Design and Geography?," IZA Discussion Papers 12038, Institute of Labor Economics (IZA).
    6. Wu, Kaidi, 2020. "The Effect of SNAP on Dietary Quality: Evidence from FoodAPS," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304462, Agricultural and Applied Economics Association.
    7. Sarah Tahamont & Zubin Jelveh & Aaron Chalfin & Shi Yan & Benjamin Hansen, 2019. "Administrative Data Linking and Statistical Power Problems in Randomized Experiments," NBER Working Papers 25657, National Bureau of Economic Research, Inc.
    8. Marianne P. Bitler & Christian Gregory, 2019. "Food Access, Program Participation, and Health: Research Using FoodAPS," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 9-17, July.
    9. Ding Liu & Daniel L. Millimet, 2021. "Bounding the joint distribution of disability and employment with misclassification," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1628-1647, July.
    10. Nathalie Mathieu‐Bolh, 2022. "The elusive link between income and obesity," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 935-968, September.

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    More about this item

    Keywords

    Supplemental Nutrition Assistance Program; food stamps; SNAP; food insecurity; obesity; body mass index; food purchases; food expenditures; healthy eating index; misreporting; measurement error;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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