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How Physicians Affect Patients’ Employment Outcomes Through Deciding on Sick Leave Durations

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  • Alexander Ahammer

Abstract

I analyze how general practitioners (GPs) indirectly a ect their patients’ employment outcomes by deciding on the length of sickness absences. I use an instrumental variables framework where spell durations are identified through supply-side certification measures estimated from the data. I find that a marginal day of sick leave – that is, a day of sick leave which is only certified because a worker’s GP has a high propensity to certify sick leaves – decreases employment probabilities persistently by 0.45 percentage points – 0.69 percentage points up to 18 months after the sick leave. Conversely, the risk of becoming unemployed increases by 0.28 percentage points – 0.44 percentage points due to the additional day of sick leave. These e ects are mostly driven by men with comparably low job tenure and migratory background. Several robustness checks show that identification is not impaired by endogenous matching between patients and GPs. My results bear important implications for doctors: Whenever medically justifiable, it may be beneficial to certify shorter sick leaves in order to protect employment status of the patient.

Suggested Citation

  • Alexander Ahammer, 2016. "How Physicians Affect Patients’ Employment Outcomes Through Deciding on Sick Leave Durations," Economics working papers 2016-05, Department of Economics, Johannes Kepler University Linz, Austria.
  • Handle: RePEc:jku:econwp:2016_05
    Note: English
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    1. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    2. Alexander Ahammer & G. Thomas Horvath & Rudolf Winter-Ebmer, 2017. "The effect of income on mortality—new evidence for the absence of a causal link," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 793-816, June.
    3. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107016064.
    4. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    5. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107638105.
    6. Simen Markussen, 2012. "The individual cost of sick leave," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1287-1306, October.
    7. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107016057.
    8. René Böheim & Thomas Leoni, 2014. "Firms' Sickness Costs and Workers' Sickness Absences," NBER Working Papers 20305, National Bureau of Economic Research, Inc.
    9. Alexander Ahammer & Thomas Schober, 2020. "Exploring variations in health‐care expenditures—What is the role of practice styles?," Health Economics, John Wiley & Sons, Ltd., vol. 29(6), pages 683-699, June.
    10. JÃrgen Hansen, 2000. "The effect of work absence on wages and wage gaps in Sweden," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(1), pages 45-55.
    11. Andersen, Signe Hald, 2010. "The cost of sickness: On the effect of the duration of sick leave on post-sick leave earnings," Social Science & Medicine, Elsevier, vol. 70(10), pages 1581-1589, May.
    12. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    13. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    14. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107674165.
    15. Martin Halla & Susanne Pech & Martina Zweimüller, 2015. "The Effect of Statutory Sick Pay Regulations on Workers’ Health," Economics working papers 2015-02, Department of Economics, Johannes Kepler University Linz, Austria.
    16. Josef Zweim�ller & Rudolf Winter-Ebmer & Rafael Lalive & Andreas Kuhn & Jean-Philippe Wuellrich & Oliver Ruf & Simon B�chi, 2009. "Austrian social security database," IEW - Working Papers 410, Institute for Empirical Research in Economics - University of Zurich.
      • Josef Zweimüller & Rudolf Winter-Ebmer & Rafael Lalive & Andreas Kuhn & Jean-Philippe Wuellrich & Oliver Ruf & Simon Büchi, 2009. "Austrian Social Security Database," NRN working papers 2009-03, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    17. Brown, Sarah & Sessions, John G, 1996. "The Economics of Absence: Theory and Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 10(1), pages 23-53, March.
    18. Grytten, Jostein & Sorensen, Rune, 2003. "Practice variation and physician-specific effects," Journal of Health Economics, Elsevier, vol. 22(3), pages 403-418, May.
    19. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107627314.
    20. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107016040.
    21. Jialiang Li & Jason Fine & Alan Brookhart, 2015. "Instrumental variable additive hazards models," Biometrics, The International Biometric Society, vol. 71(1), pages 122-130, March.
    22. Anna Amilon & Mårten Wallette, 2009. "Work Absence — A Signalling Factor for Temporary Workers?," LABOUR, CEIS, vol. 23(1), pages 171-194, March.
    23. Markussen, Simen & Røed, Knut & Røgeberg, Ole J. & Gaure, Simen, 2011. "The anatomy of absenteeism," Journal of Health Economics, Elsevier, vol. 30(2), pages 277-292, March.
    24. Hesselius, Patrik, 2007. "Does sickness absence increase the risk of unemployment?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(2), pages 288-310, April.
    25. Aakvik, Arild & Holmås, Tor Helge & Kamrul Islam, M., 2010. "Does variation in general practitioner (GP) practice matter for the length of sick leave? A multilevel analysis based on Norwegian GP-patient data," Social Science & Medicine, Elsevier, vol. 70(10), pages 1590-1598, May.
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    Cited by:

    1. Alexander Ahammer & Ivan Zilic, 2017. "Do Financial Incentives Alter Physician Prescription Behavior? Evidence from Random Patient-GP Allocations," Working Papers 1701, The Institute of Economics, Zagreb.

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    More about this item

    Keywords

    Sick leave duration; employment; general practitioners; supply-variation;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

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