IDEAS home Printed from https://ideas.repec.org/p/hhs/ifauwp/2024_016.html

Mandatory notice and layoff, job search, and efficiency

Author

Listed:
  • Cederlöf, Jonas

    (IFAU - Institute for Evaluation of Labour Market and Education Policy)

  • Fredriksson, Peter

    (Uppsala Univeristy)

  • Nekoei, Arash

    (Stockholm University)

  • Seim, David

    (Stockholm University)

Abstract

In all OECD countries, Mandatory Notice (MN) policies require firms to inform workers in advance of a layoff. In our theoretical framework, MN helps workers avoid unemployment and find better jobs by encouraging workers to search for a new job while still employed, thereby increasing future production. The magnitude of this production gain depends on the relative effectiveness of search while employed versus unemployed. But on-the-job search and diminished work incentives reduce current production. If future gains outweigh current production losses, longer advance notice improves production efficiency. If not, Coasian bargaining predicts that firms offer a larger severance instead of longer notice. With bargaining, the sole efficiency loss of MN is due to delayed separations of unproductive job matches. We test these predictions using novel Swedish administrative data on layoff notifications. Workers eligible for extended MN receive longer notice and larger severance, resulting in less exposure to non-employment spells and higher-paying jobs. These favorable labor market outcomes are solely due to longer notice; in contrast, larger severance delays job finding and has no impact on wages. We also show that advance notice replaces job search while unemployed with more effective search while employed. On the production side, we document a productivity drop among notified workers and estimate a production loss due to delayed separations. Using our estimates of production gains and losses to evaluate the overall production efficiency, we conclude that the gains of MN seem to outweigh the losses.

Suggested Citation

  • Cederlöf, Jonas & Fredriksson, Peter & Nekoei, Arash & Seim, David, 2024. "Mandatory notice and layoff, job search, and efficiency," Working Paper Series 2024:16, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  • Handle: RePEc:hhs:ifauwp:2024_016
    as

    Download full text from publisher

    File URL: https://www.ifau.se/globalassets/pdf/se/2024/wp-2024-16-mandatory-notice-and-layoff-job-search-and-efficiency.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kory Kroft & Fabian Lange & Matthew J. Notowidigdo, 2013. "Duration Dependence and Labor Market Conditions: Evidence from a Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 1123-1167.
    2. Cederlöf, Jonas, 2024. "Reconsidering the cost of job loss: Evidence from redundancies and mass layoffs," Working Paper Series 2024:2, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. Chetty, Raj, 2006. "A general formula for the optimal level of social insurance," Journal of Public Economics, Elsevier, vol. 90(10-11), pages 1879-1901, November.
    4. David Card & Raj Chetty & Andrea Weber, 2007. "Cash-on-Hand and Competing Models of Intertemporal Behavior: New Evidence from the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1511-1560.
    5. Stefan Eriksson & Dan-Olof Rooth, 2014. "Do Employers Use Unemployment as a Sorting Criterion When Hiring? Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 104(3), pages 1014-1039, March.
    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. Meier, Mario & Obermeier, Tim, 2017. "Employer Screening, Unemployment Stigma and Optimal Unemployment Insurance," EconStor Preprints 148303, ZBW - Leibniz Information Centre for Economics.
    2. Sascha Drahs & Luke Haywood & Amelie Schiprowski, 2018. "Job Search with Subjective Wage Expectations," Discussion Papers of DIW Berlin 1725, DIW Berlin, German Institute for Economic Research.
    3. Fadlon, Itzik & Nielsen, Torben Heien, 2019. "Household labor supply and the gains from social insurance," Journal of Public Economics, Elsevier, vol. 171(C), pages 18-28.
    4. Nicholas Lawson, 2017. "Fiscal Externalities and Optimal Unemployment Insurance," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 281-312, November.
    5. Michael Dinerstein & Rigissa Megalokonomou & Constantine Yannelis, 2020. "Human Capital Depreciation," Working Papers 2020-146, Becker Friedman Institute for Research In Economics.
    6. Mattia Filomena, 2021. "Unemployment Scarring Effects: A Symposium On Empirical Literature," Working Papers 453, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Wolfgang Nagl & Michael Weber, 2016. "Stuck in a trap? Long-term unemployment under two-tier unemployment compensation schemes," ifo Working Paper Series 231, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Fernández-Blanco, Javier & Preugschat, Edgar, 2018. "On the effects of ranking by unemployment duration," European Economic Review, Elsevier, vol. 104(C), pages 92-110.
    9. Arash Nekoei & Andrea Weber, 2017. "Does Extending Unemployment Benefits Improve Job Quality?," American Economic Review, American Economic Association, vol. 107(2), pages 527-561, February.
    10. Leduc, Elisabeth & Tojerow, Ilan, 2020. "Subsidizing Domestic Services as a Tool to Fight Unemployment: Effectiveness and Hidden Costs," IZA Discussion Papers 13544, IZA Network @ LISER.
    11. Henry S. Farber & Dan Silverman & Till von Wachter, 2016. "Determinants of Callbacks to Job Applications: An Audit Study," American Economic Review, American Economic Association, vol. 106(5), pages 314-318, May.
    12. John M. Nunley & Adam Pugh & Nicholas Romero & Richard Alan Seals, Jr., 2014. "Unemployment, Underemployment, and Employment Opportunities: Results from a Correspondence Audit of the Labor Market for College Graduates," Auburn Economics Working Paper Series auwp2014-04, Department of Economics, Auburn University.
    13. Hainmueller, Jens & Marbach, Moritz & Hangartner, Dominik & Harder, Niklas & Vallizadeh, Ehsan, 2025. "Refugee Labor Market Integration at Scale: Evidence from Germany’s Fast-Track Employment Program," SocArXiv px9ew_v2, Center for Open Science.
    14. Jonas Kolsrud & Camille Landais & Peter Nilsson & Johannes Spinnewijn, 2015. "The Optimal Timing of UI Benefits: Theory and Evidence from Sweden," CEP Discussion Papers dp1361, Centre for Economic Performance, LSE.
    15. Emmanuel Duguet & Rémi Le Gall & Yannick L’Horty & Pascale Petit, 2018. "How does labour market history influence the access to hiring interviews?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 39(4), pages 519-533, July.
    16. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    17. Baert, Stijn & Picchio, Matteo, 2021. "A signal of (Train)ability? Grade repetition and hiring chances," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 867-878.
    18. Alain Cohn & Michel André Maréchal & Frédéric Schneider & Roberto A Weber, 2021. "Frequent Job Changes can Signal Poor Work Attitude and Reduce Employability," Journal of the European Economic Association, European Economic Association, vol. 19(1), pages 475-508.
    19. Arne F. Lyshol & Plamen T. Nenov & Thea Wevelstad, 2021. "Duration Dependence and Labor Market Experience," LABOUR, CEIS, vol. 35(1), pages 105-134, March.
    20. Simon Jäger & Benjamin Schoefer & Samuel Young & Josef Zweimüller, 2020. "Wages and the Value of Nonemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1905-1963.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

    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:hhs:ifauwp:2024_016. 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: Malin Lindkvist (email available below). General contact details of provider: https://edirc.repec.org/data/ifagvse.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.