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

John Guyton1; Pat Langetieg1; Day Manoli2; Mark Payne1; Brenda Schafer1; Michael Sebastiani1

1 Internal Revenue Service, 77 K Street NE, Washington, DC 20002 (e-mail: ) · 2 University of Texas at Austin, 2225 Speedway Stop C3100, Austin, TX 78712 (e-mail: )

American Economic Review 2017

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.

DOI
10.1257/aer.p20171062
Volume
107 (5)
Pages
471-475
Language
en
Export
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