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Replication data for: Using Differences in Knowledge across Neighborhoods to Uncover the Impacts of the EITC on Earnings

Version
1
Resource Type
Dataset
Creator
  • Chetty, Raj
  • Friedman, John N.
  • Saez, Emmanuel
Publication Date
2013-12-01
Description
  • Abstract

    We estimate the impacts of the Earned Income Tax Credit on labor supply using local variation in knowledge about the EITC schedule. We proxy for EITC knowledge in a Zip code with the fraction of individuals who manipulate reported self-employment income to maximize their EITC refund. This measure varies significantly across areas. We exploit changes in EITC eligibility at the birth of a child to estimate labor supply effects. Individuals in high-knowledge areas change wage earnings sharply to obtain larger EITC refunds relative to those in low-knowledge areas. These responses come primarily from intensive-margin earnings increases in the phase-in region.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.103.7.2683 (Text)
Publications
  • Chetty, Raj, John N Friedman, and Emmanuel Saez. “Using Differences in Knowledge Across Neighborhoods to Uncover the Impacts of the EITC on Earnings.” American Economic Review 103, no. 7 (December 2013): 2683–2721. https://doi.org/10.1257/aer.103.7.2683.
    • ID: 10.1257/aer.103.7.2683 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Chetty, Raj; Friedman, John N.; Saez, Emmanuel (2013): Replication data for: Using Differences in Knowledge across Neighborhoods to Uncover the Impacts of the EITC on Earnings. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E112681V1