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Using Differences in Knowledge across Neighborhoods to Uncover the Impacts of the EITC on Earnings

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  • Raj Chetty
  • John N. Friedman
  • Emmanuel Saez

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.

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Bibliographic Info

Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 103 (2013)
Issue (Month): 7 (December)
Pages: 2683-2721

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Handle: RePEc:aea:aecrev:v:103:y:2013:i:7:p:2683-2721

Note: DOI: 10.1257/aer.103.7.2683
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  1. Kopczuk, Wojciech & Pop-Eleches, Cristian, 2007. "Electronic filing, tax preparers and participation in the Earned Income Tax Credit," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1351-1367, August.
  2. Raj Chetty, 2012. "Bounds on Elasticities With Optimization Frictions: A Synthesis of Micro and Macro Evidence on Labor Supply," Econometrica, Econometric Society, vol. 80(3), pages 969-1018, 05.
  3. Bises, Bruno, 1990. "Income Tax Perception and Labour Supply in a Sample of Industry Workers," Public Finance = Finances publiques, , vol. 45(1), pages 3-17.
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Cited by:
  1. Bastani, Spencer & Selin, Håkan, 2011. "Bunching and Non-Bunching at Kink Points of the Swedish Tax schedule," Working Paper Series, Center for Fiscal Studies 2011:12, Uppsala University, Department of Economics.
  2. Doerrenberg, Philipp & Duncan, Denvil, 2012. "Experimental Evidence on the Relationship between Tax Evasion Opportunities and Labor Supply," IZA Discussion Papers 6914, Institute for the Study of Labor (IZA).
  3. Ive Marx & Brian Nolan & Javier Olivera, 2014. "The Welfare State and Anti-Poverty Policy in Rich Countries," Working Papers 1403, Herman Deleeck Centre for Social Policy, University of Antwerp.
  4. Thomas Piketty & Emmanuel Saez, 2012. "Optimal Labor Income Taxation," NBER Working Papers 18521, National Bureau of Economic Research, Inc.
  5. DeFusco, Anthony & Paciorek, Andrew D., 2014. "The Interest Rate Elasticity of Mortgage Demand: Evidence From Bunching at the Conforming Loan Limit," Finance and Economics Discussion Series 2014-11, Board of Governors of the Federal Reserve System (U.S.).
  6. Philipp Doerrenberg & Andreas Peichl, 2014. "The impact of redistributive policies on inequality in OECD countries," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 2066-2086, June.
  7. Ann-Sofie Kolm & Mirco Tonin, 2012. "In-Work Benefits and the Nordic Model," CEU Working Papers 2013_1, Department of Economics, Central European University, revised 14 Dec 2012.
  8. Chetty, Raj & Friedman, John N. & Leth-Peterson, Soren & Nielsen, Torben Heien & Olsen, Tore, 2013. "Active vs. Passive Decisions and Crowd-Out in Retirement Savings Accounts: Evidence from Denmark," Working Paper Series rwp13-002, Harvard University, John F. Kennedy School of Government.
  9. Almunia, Miguel & Lopez-Rodriguez, David, 2012. "The efficiency cost of tax enforcement: evidence from a panel of spanish firms," MPRA Paper 44153, University Library of Munich, Germany.
  10. Dayanand S. Manoli & Nicholas Turner, 2014. "Cash-on-Hand & College Enrollment: Evidence from Population Tax Data and Policy Nonlinearities," NBER Working Papers 19836, National Bureau of Economic Research, Inc.
  11. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.

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