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Within and Across County Variation in SNAP Misreporting: Evidence from Linked ACS and Administrative Records

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  • Cerf, Benjamin

Abstract

This paper examines sub-state spatial and temporal variation in misreporting of participation in the Supplemental Nutrition Assistance Program (SNAP) using several years of the American Community Survey linked to SNAP administrative records from New York (2008–2010) and Texas (2006–2009). I calculate county false-negative (FN) and false-positive (FP) rates for each year of observation and find that, within a given state and year, there is substantial heterogeneity in FN rates across counties. In addition, I find evidence that FN rates (but not FP rates) persist over time within counties. This persistence in FN rates is strongest among more populous counties, suggesting that when noise from sampling variation is not an issue, some counties have consistently high FN rates while others have consistently low FN rates. This finding is important for understanding how misreporting might bias estimates of sub-state SNAP participation rates, changes in those participation rates, and effects of program participation.

Suggested Citation

  • Cerf, Benjamin, 2017. "Within and Across County Variation in SNAP Misreporting: Evidence from Linked ACS and Administrative Records," OSF Preprints jaufh, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:jaufh
    DOI: 10.31219/osf.io/jaufh
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    References listed on IDEAS

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    Cited by:

    1. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," IZA Discussion Papers 10943, Institute of Labor Economics (IZA).
    2. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    3. 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).
    4. John L. Czajka & Karen Cunnyngham & Randy Rosso, "undated". "Simulated Versus Actual SNAP Unit Composition in Survey Households in Two States," Mathematica Policy Research Reports e5c1079d08424fb195d0b5262, Mathematica Policy Research.
    5. Bruce Meyer & Nikolas Mittag, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Working Papers 2017-075, Human Capital and Economic Opportunity Working Group.
    6. Adam Bee & Joshua Mitchell & Nikolas Mittag & Jonathan Rothbaum & Carl Sanders & Lawrence Schmidt & Matthew Unrath, 2023. "National Experimental Wellbeing Statistics - Version 1," Working Papers 23-04, Center for Economic Studies, U.S. Census Bureau.
    7. 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.
    8. Hudak, Katelin M. & Racine, Elizabeth F., 2021. "Do additional SNAP benefits matter for child weight?: Evidence from the 2009 benefit increase," Economics & Human Biology, Elsevier, vol. 41(C).

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