IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/26019.html

Declining Worker Turnover: the Role of Short Duration Employment Spells

Author

Listed:
  • Michael J. Pries
  • Richard Rogerson

Abstract

Using the Quarterly Workforce Indicators, we document that a significant amount of the decline in labor market turnover during the last two decades is accounted for by the decline in employment spells that last less than a quarter. Using a search and matching model that incorporates noisy signals about the quality of a worker-firm match, we show that improved candidate screening by firms can account for the decline in short-lived employment spells. Quantitative exercises show that this explanation can account for the observed changes in various labor market outcomes, whereas alternative potential explanations, such as increased hiring costs, cannot.

Suggested Citation

  • Michael J. Pries & Richard Rogerson, 2019. "Declining Worker Turnover: the Role of Short Duration Employment Spells," NBER Working Papers 26019, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26019
    Note: EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w26019.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Raven Molloy & Christopher L. Smith & Riccardo Trezzi & Abigail Wozniak, 2016. "Understanding Declining Fluidity in the U.S. Labor Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 183-259.
    2. Robert E. Hall & Sam Schulhofer-Wohl, 2018. "Measuring Job-Finding Rates and Matching Efficiency with Heterogeneous Job-Seekers," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 1-32, January.
    3. Mitchell Hoffman & Lisa B Kahn & Danielle Li, 2018. "Discretion in Hiring," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 765-800.
    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. Katharine G. Abraham & Melissa S. Kearney, 2020. "Explaining the Decline in the US Employment-to-Population Ratio: A Review of the Evidence," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 585-643, September.
    2. Eeckhout, Jan & Weng, Xi, 2024. "The technological origins of the decline in labor market dynamism," Journal of Economic Dynamics and Control, Elsevier, vol. 169(C).
    3. Bhuller, Manudeep & Kostøl, Andreas & Vigtel, Trond Christian, 2019. "How Broadband Internet Affects Labor Market Matching," Memorandum 10/2019, Oslo University, Department of Economics.
    4. Michael J. Pries & Richard Rogerson, 2019. "The Decline of Short Duration Employment Spells," Working Papers 2019-21, Princeton University. Economics Department..
    5. Steven Bond‐Smith, 2022. "Discretely innovating: The effect of limited market contestability on innovation and growth," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 301-327, July.
    6. Carlo Pizzinelli & Bradley Speigner, 2017. "Matching efficiency and labour market heterogeneity in the United Kingdom," Bank of England Staff Working Paper series 667, Bank of England.
    7. Sterk, Vincent, 2016. "The dark corners of the labor market," LSE Research Online Documents on Economics 86244, London School of Economics and Political Science, LSE Library.
    8. Girum Abebe & A Stefano Caria & Marcel Fafchamps & Paolo Falco & Simon Franklin & Simon Quinn, 2021. "Anonymity or Distance? Job Search and Labour Market Exclusion in a Growing African City," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(3), pages 1279-1310.
    9. Henry Hyatt & Erika McEntarfer & Ken Ueda & Alexandria Zhang, 2016. "Interstate Migration and Employer-to-Employer Transitions in the U.S.: New Evidence from Administrative Records Data," Working Papers 16-44, Center for Economic Studies, U.S. Census Bureau.
    10. Nika Lazaryan & Thomas A. Lubik, 2019. "Global dynamics in a search and matching model of the labor market," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 68(2), pages 461-497, September.
    11. Alicia Sasser Modestino & Mary A. Burke & Shahriar Sadighi & Rachel Sederberg & Tomer Stern & Bledi Taska, 2026. "No Longer Qualified? Changes in the Supply and Demand for Skills within Occupations," ILR Review, Cornell University, ILR School, vol. 79(3), pages 486-522, May.
    12. Diana Moreira & Santiago Pérez, 2022. "Who Benefits from Meritocracy?," NBER Working Papers 30113, National Bureau of Economic Research, Inc.
    13. Christopher Cornwell & Ian M. Schmutte & Daniela Scur, 2021. "Building a Productive Workforce: The Role of Structured Management Practices," Management Science, INFORMS, vol. 67(12), pages 7308-7321, December.
    14. Maya Balakrishnan & Kris Johnson Ferreira & Jordan Tong, 2026. "Human-Algorithm Collaboration with Private Information: Naïve Advice-Weighting Behavior and Mitigation," Management Science, INFORMS, vol. 72(1), pages 265-284, January.
    15. Vincent Sterk, 2016. "The Dark Corners of the Labor Market," Discussion Papers 1603, Centre for Macroeconomics (CFM).
    16. Jonas Radbruch & Amelie Schiprowski, 2025. "Interview Sequences and the Formation of Subjective Assessments," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 92(2), pages 1226-1256.
    17. Aki Tomizawa & Li Zhao & Geneviève Bassellier & David Ahlstrom, 2020. "Economic growth, innovation, institutions, and the Great Enrichment," Asia Pacific Journal of Management, Springer, vol. 37(1), pages 7-31, March.
    18. Sebastian Hager & Carlo Schwarz & Fabian Waldinger, 2024. "Measuring Science: Performance Metrics and the Allocation of Talent," American Economic Review, American Economic Association, vol. 114(12), pages 4052-4090, December.
    19. Kohei Kawaguchi, 2021. "When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business," Management Science, INFORMS, vol. 67(3), pages 1670-1695, March.
    20. Alexander Murray, 2017. "What Explains the Post-2004 U.S.Productivity Slowdown?," CSLS Research Reports 2017-05, Centre for the Study of Living Standards.

    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

    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:26019. 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.