IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v103y2013i7p2683-2721.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • Raj Chetty & John N. Friedman & Emmanuel Saez, 2013. "Using Differences in Knowledge across Neighborhoods to Uncover the Impacts of the EITC on Earnings," American Economic Review, American Economic Association, vol. 103(7), pages 2683-2721, December.
  • Handle: RePEc:aea:aecrev:v:103:y:2013:i:7:p:2683-2721
    Note: DOI: 10.1257/aer.103.7.2683
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/aer.103.7.2683
    Download Restriction: no

    File URL: http://www.aeaweb.org/aer/data/dec2013/20120878_app.pdf
    Download Restriction: no

    File URL: http://www.aeaweb.org/aer/data/dec2013/20120878_data.zip
    Download Restriction: no

    File URL: http://www.aeaweb.org/aer/ds/dec2013/20120878_ds.zip
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Henrik Jacobsen Kleven & Claus Thustrup Kreiner & Emmanuel Saez, 2016. "Why Can Modern Governments Tax So Much? An Agency Model of Firms as Fiscal Intermediaries," Economica, London School of Economics and Political Science, vol. 83(330), pages 219-246, April.
    4. 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, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marcelo Bergolo & Gabriel Burdin & Mauricio De Rosa & Matias Giaccobasso & Martín Leites, 2019. "Tax bunching at the Kink in the Presence of Low Capacity of Enforcement: Evidence From Uruguay," Documentos de Trabajo (working papers) 19-05, Instituto de Economía - IECON.
    2. Thomas Piketty & Emmanuel Saez, 2012. "Optimal Labor Income Taxation," NBER Working Papers 18521, National Bureau of Economic Research, Inc.
    3. Paetzold, Jörg & Winner, Hannes, 2016. "Taking the high road? Compliance with commuter tax allowances and the role of evasion spillovers," Journal of Public Economics, Elsevier, vol. 143(C), pages 1-14.
    4. Waseem, Mazhar, 2018. "Taxes, informality and income shifting: Evidence from a recent Pakistani tax reform," Journal of Public Economics, Elsevier, vol. 157(C), pages 41-77.
    5. 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.
    6. Carina Neisser, 2021. "The Elasticity of Taxable Income: A Meta-Regression Analysis [The top 1% in international and historical perspective]," The Economic Journal, Royal Economic Society, vol. 131(640), pages 3365-3391.
    7. Sebastián Bustos & Dina Pomeranz & Juan Carlos Suárez Serrato & José Vila-Belda & Gabriel Zucman, 2022. "The Race Between Tax Enforcement and Tax Planning: Evidence From a Natural Experiment in Chile," NBER Working Papers 30114, National Bureau of Economic Research, Inc.
    8. Bohne, Albrecht & Nimczik, Jan Sebastian, 2018. "Information Frictions and Learning Dynamics: Evidence from Tax Avoidance in Ecuador," IZA Discussion Papers 11536, Institute of Labor Economics (IZA).
    9. Andreas R. Kostøl & Andreas S. Myhre, 2021. "Labor Supply Responses to Learning the Tax and Benefit Schedule," American Economic Review, American Economic Association, vol. 111(11), pages 3733-3766, November.
    10. Sylvain Catherine & Thomas Chaney & Zongbo Huang & David Sraer & David Thesmar, 2022. "Quantifying Reduced‐Form Evidence on Collateral Constraints," Journal of Finance, American Finance Association, vol. 77(4), pages 2143-2181, August.
    11. Cederlöf, Jonas, 2020. "Extended unemployment benefits and the hazard to employment," Working Paper Series 2020:25, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    12. Colas, Mark & Saulnier, Emmett, 2023. "Vertical migration externalities," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    13. Dwenger, Nadja & Kleven, Henrik & Rasul, Imran & Rincke, Johannes, 2014. "Extrinsic vs Intrinsic Motivations for Tax Compliance. Evidence from a Randomized Field Experiment in Germany," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100389, Verein für Socialpolitik / German Economic Association.
    14. Kazuki Onji & John P. Tang, 2015. "A nation without a corporate income tax: Evidence from nineteenth century Japan," Discussion Papers in Economics and Business 15-12, Osaka University, Graduate School of Economics.
    15. Oliwia Komada & Krzysztof Makarski & Joanna Tyrowicz, 2017. "Welfare effects of fiscal policy in reforming the pension system," GRAPE Working Papers 11, GRAPE Group for Research in Applied Economics.
    16. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    17. Pierre Cahuc & Stéphane Carcillo, 2014. "The Detaxation of Overtime Hours: Lessons from the French Experiment," SciencePo Working papers Main hal-03460334, HAL.
    18. Mayshar, Joram & Moav, Omer & Neeman, Zvika, 2011. "Transparency, Appropriability and the Early State," CEPR Discussion Papers 8548, C.E.P.R. Discussion Papers.
    19. Ufuk Akcigit & Douglas Hanley & Stefanie Stantcheva, 2022. "Optimal Taxation and R&D Policies," Econometrica, Econometric Society, vol. 90(2), pages 645-684, March.
    20. Sören Blomquist & Vidar Christiansen & Luca Micheletto, 2016. "Public Provision of Private Goods, Self-Selection, and Income Tax Avoidance," Scandinavian Journal of Economics, Wiley Blackwell, vol. 118(4), pages 666-692, October.

    More about this item

    JEL classification:

    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Using Differences in Knowledge across Neighborhoods to Uncover the Impacts of the EITC on Earnings (AER 2013) in ReplicationWiki

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aecrev:v:103:y:2013:i:7:p:2683-2721. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.