IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v238y2024ics0165176524001605.html

Health and retirement: Heterogeneity in the responsiveness to pension incentives

Author

Listed:
  • Hsu, De Fen
  • Morrill, Melinda
  • Pathak, Aditi

Abstract

Workers often time retirement around pension eligibility, yielding a strong instrument for retirement timing. By estimating the characteristics of the complier population, we find heterogeneity by individual health status in the responsiveness to pension-related financial incentives to retire. Workers in poor health do not uniformly retire earlier or later, but rather are less responsive overall to pension incentives. Thus, characterizing compliers may yield different conclusions than simple comparisons of means.

Suggested Citation

  • Hsu, De Fen & Morrill, Melinda & Pathak, Aditi, 2024. "Health and retirement: Heterogeneity in the responsiveness to pension incentives," Economics Letters, Elsevier, vol. 238(C).
  • Handle: RePEc:eee:ecolet:v:238:y:2024:i:c:s0165176524001605
    DOI: 10.1016/j.econlet.2024.111677
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176524001605
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2024.111677?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Richard Blundell & Jack Britton & Monica Costa Dias & Eric French, 2023. "The Impact of Health on Labor Supply near Retirement," Journal of Human Resources, University of Wisconsin Press, vol. 58(1), pages 282-334.
    2. Clémentine Garrouste & Elsa Perdrix, 2022. "Is there a consensus on the health consequences of retirement? A literature review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 841-879, September.
    3. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    4. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
    5. Papke, Leslie E., 2019. "Retirement choices by state and local public sector employees: the role of eligibility and financial incentives," Journal of Pension Economics and Finance, Cambridge University Press, vol. 18(4), pages 515-528, October.
    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. Heidi Allen & Katherine Baicker, 2021. "The Effect of Medicaid on Care and Outcomes for Chronic Conditions: Evidence from the Oregon Health Insurance Experiment," NBER Working Papers 29373, National Bureau of Economic Research, Inc.
    2. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    3. Byeong Yeob Choi, 2024. "Instrumental variable estimation of weighted local average treatment effects," Statistical Papers, Springer, vol. 65(2), pages 737-770, April.
    4. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    5. Michael R.M. Abrigo & Timothy J. Halliday & Teresa Molina, 2022. "Expanding health insurance for the elderly of the Philippines," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 500-520, April.
    6. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, IZA Network @ LISER.
    7. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    8. Liran Einav & Amy Finkelstein & Tamar Oostrom & Abigail Ostriker & Heidi Williams, 2020. "Screening and Selection: The Case of Mammograms," American Economic Review, American Economic Association, vol. 110(12), pages 3836-3870, December.
    9. Jiayi Wen & Zixi Ye & Xuan Zhang, 2024. "A New Testing Method for Justification Bias Using High-Frequency Data of Health and Employment," Papers 2403.06368, arXiv.org.
    10. Toru Kitagawa, 2014. "A Test for Instrument Validity," CeMMAP working papers CWP34/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Joshua D. Angrist & Sarah R. Cohodes & Susan M. Dynarski & Parag A. Pathak & Christopher R. Walters, 2016. "Stand and Deliver: Effects of Boston's Charter High Schools on College Preparation, Entry, and Choice," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 275-318.
    12. Cañón Salazar Carlos Iván, 2016. "Distributional Policy Effects with Many Treatment Outcomes," Working Papers 2016-01, Banco de México.
    13. Dur, Umut & Hammond, Robert G. & Lenard, Matthew A. & Morrill, Melinda & Morrill, Thayer & Paeplow, Colleen, 2025. "The attraction of magnet schools: Evidence from embedded lotteries in school assignment," Economics of Education Review, Elsevier, vol. 107(C).
    14. Carneiro, Pedro & Lee, Sokbae, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
    15. Joensen, Juanna Schrøter & Nielsen, Helena Skyt, 2018. "Spillovers in education choice," Journal of Public Economics, Elsevier, vol. 157(C), pages 158-183.
    16. Kaspar Wüthrich, 2020. "A Comparison of Two Quantile Models With Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 443-456, April.
    17. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    18. Julia Chabrier & Sarah Cohodes & Philip Oreopoulos, 2016. "What Can We Learn from Charter School Lotteries?," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 57-84, Summer.
    19. Atila Abdulkadiroğlu & Joshua D. Angrist & Susan M. Dynarski & Thomas J. Kane & Parag A. Pathak, 2011. "Accountability and Flexibility in Public Schools: Evidence from Boston's Charters And Pilots," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 699-748.
    20. Choi, Byeong Yeob & Lee, Jae Won, 2019. "The isotonic regression approach for an instrumental variable estimation of the potential outcome distributions for compliers," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 134-144.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I10 - Health, Education, and Welfare - - Health - - - General

    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:eee:ecolet:v:238:y:2024:i:c:s0165176524001605. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.