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Can Administrative Data on Child Support Be Used to Improve the EITC? Evidence From Wisconsin

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  • Hotz, V. Joseph
  • Scholz, John Karl

Abstract

We examine EITC compliance using a unique dataset combining income tax returns, Unemployment Insurance data, state child support data, and data collected by hand from Wisconsin courthouses. A substantial number of EITC claims are made by adults listed as the court–ordered payor or by adults not identified in child support data. Simple calculations extrapolating Wisconsin’s experience to the rest of the country suggest that as much as $1.7 billion of noncompliant EITC claims could possibly be identified. We conclude that the child support case registry can be an effective tool for identifying a subset of inappropriate EITC claims prior to payment.

Suggested Citation

  • Hotz, V. Joseph & Scholz, John Karl, 2008. "Can Administrative Data on Child Support Be Used to Improve the EITC? Evidence From Wisconsin," National Tax Journal, National Tax Association;National Tax Journal, vol. 61(2), pages 189-203, June.
    • Handle: RePEc:ntj:journl:v:61:y:2008:i:2:p:189-203
    DOI: 10.17310/ntj.2008.2.02
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    Cited by:

    1. repec:pri:cepsud:232rosen is not listed on IDEAS
    2. Michael Geruso & Harvey S. Rosen, 2013. "Fraud in the Workplace? Evidence from a Dependent Verification Program," Working Papers 1449, Princeton University, Department of Economics, Center for Economic Policy Studies..
    3. Michael Geruso & Harvey S. Rosen, 2013. "Fraud in the Workplace? Evidence from a Dependent Verification Program," NBER Working Papers 18947, National Bureau of Economic Research, Inc.
    4. John Karl Scholz, 2010. "The Earned Income Tax Credit and the U.S. Low-Wage Labor Market," ESRI Discussion paper series 237, Economic and Social Research Institute (ESRI).
    5. John Dagsvik & Zhiyang Jia & Kristian Orsini & Guy Camp, 2011. "Subsidies on low-skilled workers’ social security contributions: the case of Belgium," Empirical Economics, Springer, vol. 40(3), pages 779-806, May.

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