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Reminders and Recidivism: Using Administrative Data to Characterize Nonfilers and Conduct EITC Outreach

Author

Listed:
  • John Guyton
  • Pat Langetieg
  • Day Manoli
  • Mark Payne
  • Brenda Schafer
  • Michael Sebastiani

Abstract

This project uses third-party information reporting and population-level administrative tax data to identify the population of nonfilers. This population consists of individuals who do not file a tax return despite having income reported by third parties to the United States Internal Revenue Service. After identifying and characterizing this population, we identified nonfilers who may have been eligible for Earned Income Tax Credit (EITC) benefits. Using an experimental sample drawn from this population of potentially EITC-eligible nonfilers, we conducted two randomized controlled trials to test multiple hypotheses regarding inattention and recency effects in these low-income earners' tax filing decisions.

Suggested Citation

  • John Guyton & Pat Langetieg & Day Manoli & Mark Payne & Brenda Schafer & Michael Sebastiani, 2017. "Reminders and Recidivism: Using Administrative Data to Characterize Nonfilers and Conduct EITC Outreach," American Economic Review, American Economic Association, vol. 107(5), pages 471-475, May.
    • Handle: RePEc:aea:aecrev:v:107:y:2017:i:5:p:471-75
    Note: DOI: 10.1257/aer.p20171062
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    Citations

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    Cited by:

    1. Ha Trong Nguyen & Huong Thu Le & Luke B Connelly, 2021. "Who's declining the “free lunch”? New evidence from the uptake of public child dental benefits," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 270-288, February.
    2. Maya Haran Rosen & Orly Sade, 2022. "The Disparate Effect of Nudges on Minority Groups," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 11(3), pages 605-643.
    3. Boning, William C. & Guyton, John & Hodge, Ronald & Slemrod, Joel, 2020. "Heard it through the grapevine: The direct and network effects of a tax enforcement field experiment on firms," Journal of Public Economics, Elsevier, vol. 190(C).
    4. Loibl, Cäzilia & Jones, Lauren & Haisley, Emily, 2018. "Testing strategies to increase saving in individual development account programs," Journal of Economic Psychology, Elsevier, vol. 66(C), pages 45-63.
    5. Erard, Brian & Langetieg, Patrick & Payne, Mark & Plumley, Alan, 2020. "Ghosts in the Income Tax Machinery," MPRA Paper 100036, University Library of Munich, Germany.
    6. Łuczywek, Beata & Lippold, Kye & Betts, Julian & Berman, Eli, 2024. "Boosting Take-Up of the Expanded Child Tax Credit through School-Based Outreach," University of California at San Diego, Economics Working Paper Series qt1dh1n103, Department of Economics, UC San Diego.

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • K34 - Law and Economics - - Other Substantive Areas of Law - - - Tax Law

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