IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/26633.html
   My bibliography  Save this paper

How Are Employers Responding to an Aging Workforce?

Author

Listed:
  • Robert L. Clark
  • Beth M. Ritter

Abstract

The American population is aging and changes in the population’s age structure are leading to an aging of the nation’s workforce. In addition, changes to age specific participation rates are exacerbating the aging of the national labor force. An important challenge for firms and organizations is how does workforce aging affect labor costs, productivity and the sustainability of the organization. This paper examines employer responses to workforce aging including changes retirement policies, modification in working conditions, the adoption of phased retirement plans, and reforming other employee benefits.

Suggested Citation

  • Robert L. Clark & Beth M. Ritter, 2020. "How Are Employers Responding to an Aging Workforce?," NBER Working Papers 26633, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26633
    Note: AG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w26633.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "Demographics and Automation," Boston University - Department of Economics - Working Papers Series dp-299, Boston University - Department of Economics.
    3. Robert L. Clark & Steven Nyce & Beth Ritter & John B. Shoven, 2019. "Employer Concerns and Responses to an Aging Workforce," NBER Working Papers 25572, National Bureau of Economic Research, Inc.
    4. Robert Clark & Linda Ghent, 2010. "Strategic HR Management with an Aging Workforce: Using Demographic Models to Determine Optimal Employment Policies," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(1), pages 65-80, February.
    5. Steven G. Allen, 2019. "Demand for Older Workers: What Do Economists Think? What Are Firms Doing?," NBER Working Papers 26597, National Bureau of Economic Research, Inc.
    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. Eva Eisch & Paulina Kuper & Lara Lindert & Kyung-Eun (Anna) Choi, 2022. "Working Conditions of Occupational Physicians—A Scoping Review," IJERPH, MDPI, vol. 19(10), pages 1-30, May.
    2. Henkens, Kène & van Dalen, Hendrik Peter & van Solinge, Hanna, 2021. "The rhetoric and reality of phased retirement policies," Other publications TiSEM 0e39c6dd-3349-4842-a40b-e, Tilburg University, School of Economics and Management.
    3. Bruce Fallick & Christopher L. Foote, 2022. "The Impact of the Age Distribution on Unemployment: Evidence from US States," Working Papers 22-15, Federal Reserve Bank of Boston.

    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. Daniele Franco & Pietro Tommasino, 2020. "Lessons From Italy: A Good Pension System Needs an Effective Broader Social Policy Framework," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(2), pages 73-81, March.
    2. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    3. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    4. Ana Lucia Abeliansky & Holger Strulik, 2023. "Health and aging before and after retirement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(4), pages 2825-2855, October.
    5. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    6. Hémous, David & Dechezleprêtre, Antoine & Olsen, Morten & Zanella, carlo, 2019. "Automating Labor: Evidence from Firm-level Patent Data," CEPR Discussion Papers 14249, C.E.P.R. Discussion Papers.
    7. Jung, Yeonha, 2018. "The Legacy of King Cotton: Agricultural Patterns and the Quality of Structural Change," SocArXiv trjfz, Center for Open Science.
    8. Gunes Asik & Michelle Marshalian & Ulas Karakoc & Mohamed Ali Marouani, 2018. "Productivity, Structural Change and Skills Dynamics in Tunisia and Turkey," Working Papers hal-04000250, HAL.
    9. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
    10. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
    11. Eckhardt Bode & Dirk Dohse & Ulrich Stolzenburg, 2023. "Aging and regional productivity growth in Germany [Alterung und regionales Produktivitätswachstum in Deutschland]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(3), pages 409-432, December.
    12. Gunes Asik & Ulas Karakoc & Mohamed Ali Marouani & Michelle Marshalian, 2019. "Productivity, structural change and skills dynamics: Evidence from a half century analysis in Tunisia and Turkey," Working Papers DT/2019/06, DIAL (Développement, Institutions et Mondialisation).
    13. Fan, Haichao & Hu, Yichuan & Tang, Lixin, 2021. "Labor costs and the adoption of robots in China," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 608-631.
    14. Nii-Aponsah, Hubert, 2022. "Automation exposure and implications in advanced and developing countries across gender, age, and skills," MERIT Working Papers 2022-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Ebeke, Christian H. & Eklou, Kodjovi M., 2023. "Automation and the employment elasticity of fiscal policy," Journal of Macroeconomics, Elsevier, vol. 75(C).
    16. Allen, Steven G., 2023. "Demand for older workers: What do we know? What do we need to learn?," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    17. Vandenberghe Vincent, 2021. "Differentiating retirement age to compensate for health differences," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-34, May.
    18. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2022. "For whom the bell tolls: The firm-level effects of automation on wage and gender inequality," Research Policy, Elsevier, vol. 51(7).
    19. Christine Lewis & Patrice Ollivaud, 2020. "Policies for Switzerland’s ageing society," OECD Economics Department Working Papers 1600, OECD Publishing.
    20. Francisco Perez‐Arce & María J. Prados, 2021. "The Decline In The U.S. Labor Force Participation Rate: A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 615-652, April.

    More about this item

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:26633. 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 person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.