IDEAS home Printed from https://ideas.repec.org/p/hhs/gunwpe/0320.html
   My bibliography  Save this paper

Part-Time Sick Leave as a Treatment Method?

Author

Listed:
  • Andrén, Daniela

    (Department of Economics, School of Business, Economics and Law, Göteborg University)

  • Andrén, Thomas

    (National Institute of Economic Research)

Abstract

This paper analyzes the effects of being on part-time sick leave compared to full-time sick leave on the probability of recovering (i.e., returning to work with full recovery of lost work capacity). Using a discrete choice one-factor model, we estimate mean treatment parameters and distributional treatment parameters from a common set of structural parameters. Our results show that part-time sick leave increases the likelihood of recovering and dominates full-time sick leave for sickness spells of 150 days or longer. For these long spells, the probability of recovering increases by 10 percentage points.

Suggested Citation

  • Andrén, Daniela & Andrén, Thomas, 2008. "Part-Time Sick Leave as a Treatment Method?," Working Papers in Economics 320, University of Gothenburg, Department of Economics.
    • Handle: RePEc:hhs:gunwpe:0320
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/2077/18316
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Heshmati, Almas & Engström, Lars-Gunnar, 1999. "Estimating the Effects of Vocational Rehabilitation Programs in Sweden," SSE/EFI Working Paper Series in Economics and Finance 293, Stockholm School of Economics, revised 10 Sep 1999.
    2. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    5. Markus Frölich & Almas Heshmati & Michael Lechner, 2004. "A microeconometric evaluation of rehabilitation of long-term sickness in Sweden," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 375-396.
    6. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
    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. Merendino, Alessandro & Bek, David & Timms, Jill, 2021. "How business legacy influences organising body legitimacy in the delivery of mega events: The drift to myth at Rio 2016," Journal of Business Research, Elsevier, vol. 129(C), pages 29-42.
    2. , Aisdl, 2020. "Sustainability model of Vietnamese women entrepreneurship," OSF Preprints kjmdr, Center for Open Science.
    3. Hassan Danaeefard, 2022. "Implication studies: a methodological framework," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3159-3188, October.
    4. Juliana Onwumere & Sophia Howes & David Shiers & Fiona Gaughran, 2018. "Physical health problems in people with psychosis: The issue for informal carers," International Journal of Social Psychiatry, , vol. 64(4), pages 381-388, June.
    5. Zhongyi Wang & Keying Wang & Jiyue Liu & Jing Huang & Haihua Chen, 2022. "Measuring the innovation of method knowledge elements in scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2803-2827, May.

    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. Andrén, Daniela & Thomas, Andrén, 2009. "Starting Sick Leave on Part-Time as a Treatment Method?," Working Papers 2009:10, Örebro University, School of Business.
    2. James J. Heckman & Rodrigo Pinto, 2022. "Causality and Econometrics," NBER Working Papers 29787, National Bureau of Economic Research, Inc.
    3. Heckman, James & Pinto, Rodrigo, 2024. "Econometric causality: The central role of thought experiments," Journal of Econometrics, Elsevier, vol. 243(1).
    4. Ribar, David C., 2004. "What Do Social Scientists Know About the Benefits of Marriage? A Review of Quantitative Methodologies," IZA Discussion Papers 998, Institute of Labor Economics (IZA).
    5. Høgelund, Jan & Holm, Anders & McIntosh, James, 2010. "Does graded return-to-work improve sick-listed workers' chance of returning to regular working hours?," Journal of Health Economics, Elsevier, vol. 29(1), pages 158-169, January.
    6. Fitzenberger, Bernd & Furdas, Marina & Sajons, Christoph, 2016. "End-of-year spending and the long-run employment effects of training programs for the unemployed," Freiburg Discussion Papers on Constitutional Economics 16/08, Walter Eucken Institut e.V..
    7. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695, Elsevier.
    8. Ekhaugen, Tyra, 2007. "Long-term Outcomes of Vocational Rehabilitation Programs: Labor Market Transitions and Job Durations for Immigrants," Memorandum 10/2007, Oslo University, Department of Economics.
    9. Bach, Henning & Datta Gupta, Nabanita & Høgelund, Jan, 2007. "Employment Effects of Educational Measures for Work-Injured People," IZA Discussion Papers 2657, Institute of Labor Economics (IZA).
    10. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    11. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    12. Westlie, Lars, 2008. "Norwegian Vocational Rehabilitation Programs: Improving Employability and Preventing Disability?," Memorandum 24/2008, Oslo University, Department of Economics.
    13. repec:hal:wpspec:info:hdl:2441/3vl5fe4i569nbr005tctlc8ll5 is not listed on IDEAS
    14. Wrohlich, Katharina, 2006. "Labor Supply and Child Care Choices in a Rationed Child Care Market," IZA Discussion Papers 2053, Institute of Labor Economics (IZA).
    15. James J. Heckman, 2008. "Econometric Causality," International Statistical Review, International Statistical Institute, vol. 76(1), pages 1-27, April.
    16. Luc Arrondel & André Masson, 1989. "Déterminants individuels de la composition du patrimoine : France 1980," Revue Économique, Programme National Persée, vol. 40(3), pages 441-502.
    17. Noble, Stephanie M. & Lee, Kang Bok & Zaretzki, Russell & Autry, Chad, 2017. "Coupon clipping by impoverished consumers: Linking demographics, basket size, and coupon redemption rates," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 553-571.
    18. Rehwald, Kai & Rosholm, Michael & Rouland, Bénédicte, 2018. "Labour market effects of activating sick-listed workers," Labour Economics, Elsevier, vol. 53(C), pages 15-32.
    19. Bart Cockx & Matteo Picchio, 2013. "Scarring effects of remaining unemployed for long-term unemployed school-leavers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 951-980, October.
    20. Hessami, Zohal & Resnjanskij, Sven, 2019. "Complex ballot propositions, individual voting behavior, and status quo bias," European Journal of Political Economy, Elsevier, vol. 58(C), pages 82-101.
    21. Moritzen, Mark Raun & Schandlbauer, Alexander, 2020. "The impact of competition and time-to-finance on corporate cash holdings," Journal of Corporate Finance, Elsevier, vol. 65(C).

    More about this item

    Keywords

    part-time sick leave; selection; unobserved heterogeneity; treatment effects;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy

    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:hhs:gunwpe:0320. 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: Jessica Oscarsson (email available below). General contact details of provider: https://edirc.repec.org/data/naiguse.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.