IDEAS home Printed from https://ideas.repec.org/a/ntj/journl/v67y2014i2p443-458.html
   My bibliography  Save this article

Taxes and the Labor Supply of Older Americans: Recent Evidence From the Social Security Earnings Test

Author

Listed:
  • Gary V. Engelhardt
  • Anil Kumar

Abstract

This paper summarizes recent work on the impact of taxation on the labor supply of older individuals, with a focus on the Senior Citizens Freedom to Work Act of 2000, which abolished the Social Security earnings test for those ages 65 to 69. For men age 65 to 69, the repeal increased earnings by 8 to 20 percent and hours by 5 to 16 percent. For women claiming Social Security benefts on their own earnings history, the repeal increased earnings by 20 percent. Estimates of the compensated elasticity of earnings with respect to the net-of-tax share range from 0.05 to 0.12. Labor supply is very inelastic, even accounting for adjustment costs.

Suggested Citation

  • Gary V. Engelhardt & Anil Kumar, 2014. "Taxes and the Labor Supply of Older Americans: Recent Evidence From the Social Security Earnings Test," National Tax Journal, National Tax Association;National Tax Journal, vol. 67(2), pages 443-458, June.
    • Handle: RePEc:ntj:journl:v:67:y:2014:i:2:p:443-458
    DOI: 10.17310/ntj.2014.2.06
    as

    Download full text from publisher

    File URL: https://doi.org/10.17310/ntj.2014.2.06
    Download Restriction: Access is restricted to subscribers and members of the National Tax Association.
    File URL: https://doi.org/10.17310/ntj.2014.2.06
    Download Restriction: Access is restricted to subscribers and members of the National Tax Association.
    File URL: https://libkey.io/10.17310/ntj.2014.2.06?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Engelhardt, Gary V. & Kumar, Anil, 2009. "The repeal of the retirement earnings test and the labor supply of older men," Journal of Pension Economics and Finance, Cambridge University Press, vol. 8(4), pages 429-450, October.
    3. Raj Chetty & John N. Friedman & Tore Olsen & Luigi Pistaferri, 2011. "Adjustment Costs, Firm Responses, and Micro vs. Macro Labor Supply Elasticities: Evidence from Danish Tax Records," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 749-804.
    4. Jeffrey R. Brown & Arie Kapteyn & Olivia S. Mitchell, 2011. "Framing Effects and Expected Social Security Claiming Behavior," NBER Working Papers 17018, National Bureau of Economic Research, Inc.
    5. Francine D. Blau & Lawrence M. Kahn, 2007. "Changes in the Labor Supply Behavior of Married Women: 1980–2000," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 393-438.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eric French & John Bailey Jones, 2017. "Health, Health Insurance, and Retirement: A Survey," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 383-409, September.
    2. Begley, Jaclene & Chan, Sewin, 2018. "The effect of housing wealth shocks on work and retirement decisions," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 180-195.
    3. Alexander Gelber & Damon Jones & Daniel W. Sacks & Jae Song, 2022. "The Employment Effects of the Social Security Earnings Test," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 341-371.
    4. Damon Jones & Alexander M. Gelber & Daniel W. Sacks & Jae Song, 2017. "Using Kinked Budget Sets to Estimate Extensive Margin Responses: Method and Evidence from the Social Security Earnings Test," Working Papers 2017-034, Human Capital and Economic Opportunity Working Group.
    5. Jones, John Bailey & Li, Yue, 2018. "The effects of collecting income taxes on Social Security benefits," Journal of Public Economics, Elsevier, vol. 159(C), pages 128-145.
    6. Alexander M. Gelber & Damon Jones & Daniel W. Sacks, 2013. "Earnings Adjustment Frictions: Evidence From Social Security Earnings Test," Working Papers 13-50, Center for Economic Studies, U.S. Census Bureau.
    7. Itay Saporta-Eksten & Ity Shurtz & Sarit Weisburd, 2021. "Social Security, Labor Supply, and Health of Older Workers: Quasi-Experimental Evidence from a Large Reform [Identification and Estimation of Local Average Treatment Effects]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2168-2208.
    8. Zhixiu Yu, 2021. "Why Are Older Men Working More? The Role of Social Security," Working Papers 2021-041, Human Capital and Economic Opportunity Working Group.
    9. Laun, Lisa, 2017. "The effect of age-targeted tax credits on labor force participation of older workers," Journal of Public Economics, Elsevier, vol. 152(C), pages 102-118.
    10. Alexander M. Gelber & Damon Jones & Daniel W. Sacks & Jae Song, 2017. "Using Non-Linear Budget Sets to Estimate Extensive Margin Responses: Method and Evidence from the Social Security Earnings Test," NBER Working Papers 23362, National Bureau of Economic Research, Inc.
    11. Tengjiao Chen & Yajie Sheng & Yu Xu, 2020. "The Anticipation Effect of the Earnings Test Reform on Younger Cohorts," Public Finance Review, , vol. 48(4), pages 387-424, July.

    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. Stuart Adam & James Browne & David Phillips & Barra Roantree, 2021. "Frictions and taxpayer responses: evidence from bunching at personal tax thresholds," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(3), pages 612-653, June.
    2. Tengjiao Chen & Yajie Sheng & Yu Xu, 2020. "The Anticipation Effect of the Earnings Test Reform on Younger Cohorts," Public Finance Review, , vol. 48(4), pages 387-424, July.
    3. 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.
    4. 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.
    5. Annette Alstadsæter & Wojciech Kopczuk & Kjetil Telle, 2019. "Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(6), pages 1291-1328, December.
    6. Jäntti, Markus & Pirttilä, Jukka & Selin, Håkan, 2015. "Estimating labour supply elasticities based on cross-country micro data: A bridge between micro and macro estimates?," Journal of Public Economics, Elsevier, vol. 127(C), pages 87-99.
    7. Keith M. Marzilli Ericson, 2014. "Consumer Inertia and Firm Pricing in the Medicare Part D Prescription Drug Insurance Exchange," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 38-64, February.
    8. Michael S. Kofoed, 2022. "Pell Grants and Labor Supply: Evidence from a Regression Kink," Upjohn Working Papers 22-363, W.E. Upjohn Institute for Employment Research.
    9. Olivier Bargain & Kristian Orsini & Andreas Peichl, 2014. "Comparing Labor Supply Elasticities in Europe and the United States: New Results," Journal of Human Resources, University of Wisconsin Press, vol. 49(3), pages 723-838.
    10. Mauro Mastrogiacomo & Nicole M. Bosch & Miriam D. A. C. Gielen & Egbert L. W. Jongen, 2017. "Heterogeneity in Labour Supply Responses: Evidence from a Major Tax Reform," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 769-796, October.
    11. Oliwia Komada & Krzysztof Makarski & Joanna Tyrowicz, 2021. "Progressing towards efficiency: the role for labor tax progression in reforming social security," GRAPE Working Papers 57, GRAPE Group for Research in Applied Economics.
    12. Beffy, Magali & Blundell, Richard & Bozio, Antoine & Laroque, Guy & Tô, Maxime, 2019. "Labour supply and taxation with restricted choices," Journal of Econometrics, Elsevier, vol. 211(1), pages 16-46.
    13. Arthur Seibold, 2019. "Reference Points for Retirement Behavior: Evidence from German Pension Discontinuities," CESifo Working Paper Series 7799, CESifo.
    14. Traxler, Christian & Westermaier, Franz G. & Wohlschlegel, Ansgar, 2018. "Bunching on the Autobahn? Speeding responses to a ‘notched’ penalty scheme," Journal of Public Economics, Elsevier, vol. 157(C), pages 78-94.
    15. Raj Chetty & John N. Friedman & Søren Leth-Petersen & Torben Heien Nielsen & Tore Olsen, 2014. "Active vs. Passive Decisions and Crowd-Out in Retirement Savings Accounts: Evidence from Denmark," The Quarterly Journal of Economics, Oxford University Press, vol. 129(3), pages 1141-1219.
    16. Waldenstrom, Daniel & Bastani, Spencer, 2020. "The Ability Gradient in Bunching," CEPR Discussion Papers 14599, C.E.P.R. Discussion Papers.
    17. Jacob, Martin, 2014. "Cross-base tax elasticity of capital gains," arqus Discussion Papers in Quantitative Tax Research 169, arqus - Arbeitskreis Quantitative Steuerlehre.
    18. Kosonen, Tuomas & Matikka, Tuomas, 2020. "Discrete Labor Supply: Empirical Evidence and Implications," Working Papers 132, VATT Institute for Economic Research.
    19. Simeon Schächtele, 2020. "Tax Responses at Low Taxable Incomes: Evidence from Germany," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 411-439, June.
    20. Asaf Bernstein, 2021. "Negative Home Equity and Household Labor Supply," Journal of Finance, American Finance Association, vol. 76(6), pages 2963-2995, December.

    More about this item

    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:ntj:journl:v:67:y:2014:i:2:p:443-458. 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: The University of Chicago Press (email available below). General contact details of provider: https://www.ntanet.org/ .

    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.