IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v177y2017icp158-168.html
   My bibliography  Save this article

Positive welfare state dynamics? Sickness benefits and sickness absence in Europe 1997–2011

Author

Listed:
  • Sjöberg, Ola

Abstract

Sickness absence is associated with great costs for individuals, companies and society at large. Influenced by neo-classical economic theory, policy advice has emphasized the role of sickness benefit programs for reducing sickness absence rates: too generous benefits without proper control will increase the number of recipients and prolong absence spells as well as possibly cause negative dynamic effects in the long term. This study provides an alternative interpretation of the relationship between sickness benefits and sickness absence. By combining an epidemiological approach to sickness absence and a resource-based approach to welfare, we argue that sickness benefits might be viewed as a “collective resource” that, by providing economic support during times of ill-health, might have positive health effects. Statistical analysis of short-term sickness absence using innovative methodological approaches and combined micro- and macro-level data for 21 EU countries over the period of 1992–2011 indicates that the long run effects of relatively generous sickness benefits is rather to reduce sickness absence. This result also has implications for sickness benefit reform: whereas benefit cuts to some extent may reduce absence in the short run, in the longer run such reforms may actually increase sickness absence rates.

Suggested Citation

  • Sjöberg, Ola, 2017. "Positive welfare state dynamics? Sickness benefits and sickness absence in Europe 1997–2011," Social Science & Medicine, Elsevier, vol. 177(C), pages 158-168.
  • Handle: RePEc:eee:socmed:v:177:y:2017:i:c:p:158-168
    DOI: 10.1016/j.socscimed.2017.01.042
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953617300497
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2017.01.042?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Martin Halla & Mario Lackner & Friedrich G. Schneider, 2010. "An Empirical Analysis of the Dynamics of the Welfare State: The Case of Benefit Morale," Kyklos, Wiley Blackwell, vol. 63(1), pages 55-74, February.
    2. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    3. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    4. Barmby, T A & Orme, C D & Treble, John G, 1991. "Worker Absenteeism: An Analysis Using Microdata," Economic Journal, Royal Economic Society, vol. 101(405), pages 214-229, March.
    5. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    6. Lindbeck, Assar, 1995. "Hazardous Welfare-State Dynamics," American Economic Review, American Economic Association, vol. 85(2), pages 9-15, May.
    7. Leigh, J. Paul, 1991. "Employee and job attributes as predictors of absenteeism in a national sample of workers: The importance of health and dangerous working conditions," Social Science & Medicine, Elsevier, vol. 33(2), pages 127-137, January.
    8. MacKenzie, E.J. & Morris Jr., J.A. & Jurkovich, G.J. & Yasui, Y. & Cushing, B.M. & Burgess, A.R. & DeLateur, B.J. & McAndrew, M.P. & Swiontkowski, M.F., 1998. "Return to work following injury: The role of economic, social, and job- related factors," American Journal of Public Health, American Public Health Association, vol. 88(11), pages 1630-1637.
    9. Livanos, Ilias & Zangelidis, Alexandros, 2010. "Sickness Absence: a Pan-European Study," MPRA Paper 22627, University Library of Munich, Germany.
    10. Joakim Palme & Walter Korpi, 1998. "The Paradox of Redistribution and Strategies of Equality: Welfare State Institutions, Inequality and Poverty in the Western Countries," LIS Working papers 174, LIS Cross-National Data Center in Luxembourg.
    11. Rigmar Osterkamp & Oliver Röhn, 2007. "Being on Sick Leave: Possible Explanations for Differences of Sick-leave Days Across Countries," CESifo Economic Studies, CESifo Group, vol. 53(1), pages 97-114, March.
    12. Björn Halleröd & Miia Bask, 2008. "Accumulation of Welfare Problems in a Longitudinal Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 88(2), pages 311-327, September.
    13. Konstantinos Pouliakas & Ioannis Theodossiou, 2013. "The Economics Of Health And Safety At Work: An Interdiciplinary Review Of The Theory And Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(1), pages 167-208, February.
    14. Dahl, Espen & van der Wel, Kjetil A., 2013. "Educational inequalities in health in European welfare states: A social expenditure approach," Social Science & Medicine, Elsevier, vol. 81(C), pages 60-69.
    15. Lusine Lusinyan & Leo Bonato, 2007. "Work Absence in Europe," IMF Staff Papers, Palgrave Macmillan, vol. 54(3), pages 475-538, July.
    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. Pouliakas, Konstantinos & Theodossiou, Ioannis, 2010. "An Inquiry Into The Theory, Causes And Consequences Of Monitoring Indicators Of Health And Safety At Work," SIRE Discussion Papers 2010-120, Scottish Institute for Research in Economics (SIRE).
    2. Hong Liu & Wei Tan, 2009. "The Effect of Anti-Smoking Media Campaign on Smoking Behavior: The California Experience," Annals of Economics and Finance, Society for AEF, vol. 10(1), pages 29-47, May.
    3. Koksal, Aycan & Wohlgenant, Michael, 2013. "Pseudo Panel Data Estimation Technique and Rational Addiction Model: An Analysis of Tobacco, Alcohol and Coffee Demands," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150457, Agricultural and Applied Economics Association.
    4. Ortiz, Rodrigo & Fernandez, Viviana, 2022. "Business perception of obstacles to innovate: Evidence from Chile with pseudo-panel data analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    5. Daniel S. J. Lechmann & Claus Schnabel, 2014. "Absence from Work of the Self-Employed: A Comparison with Paid Employees," Kyklos, Wiley Blackwell, vol. 67(3), pages 368-390, August.
    6. Daniel Bukstein & Nestor Gandelman, 2014. "Intra-Generational Social Mobility and Entrepreneurship in Uruguay," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 51(2), pages 227-245, November.
    7. Stephanie Prümer & Claus Schnabel, 2019. "Questioning the Stereotype of the “Malingering Bureaucrat”: Absence from Work in the Public and Private Sector in Germany," Kyklos, Wiley Blackwell, vol. 72(4), pages 570-603, November.
    8. Evangelos C. Alexopoulos & Georgios Merekoulias & Dimitra Tanagra & Eleni C. Konstantinou & Efi Mikelatou & Eleni Jelastopulu, 2012. "Sickness Absence in the Private Sector of Greece: Comparing Shipyard Industry and National Insurance Data," IJERPH, MDPI, vol. 9(4), pages 1-11, April.
    9. Tamvada, Jagannadha Pawan, 2010. "The Dynamics of Self-employment in a Developing Country: Evidence from India," MPRA Paper 20042, University Library of Munich, Germany.
    10. Böhringer, Christoph & García-Muros, Xaquín & González-Eguino, Mikel, 2022. "Who bears the burden of greening electricity?," Energy Economics, Elsevier, vol. 105(C).
    11. Hai‐Anh H. Dang & Peter F. Lanjouw, 2023. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 599-622, June.
    12. Hanan Morsy & Adamon N. Mukasa, 2020. "‘Mind the mismatch?’ Incidence, drivers, and persistence of African youths' skill and educational mismatches," African Development Review, African Development Bank, vol. 32(S1), pages 5-19, November.
    13. Charles Ackah, & Oliver Morrissey, & Simon Appleton, 2007. "Who Gains from Trade Protection in Ghana? A Household-Level Analysis," Discussion Papers 07/02, University of Nottingham, CREDIT.
    14. Aycan Koksal & Michael K. Wohlgenant, 2016. "How do smoking bans in restaurants affect restaurant and at-home alcohol consumption?," Empirical Economics, Springer, vol. 50(4), pages 1193-1213, June.
    15. Lusi Liao & Sasiwimon W Paweenawat, 2020. "Is there a wage penalty for occupational feminization? Evidence from Thai labor market," Economics Bulletin, AccessEcon, vol. 40(3), pages 2143-2153.
    16. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    17. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    18. Kanang Amos Akims & Perez Ayieko Onono & Dianah Mukwate Ngui, . "Trade Liberalization and Productivity in the Nigerian Manufacturing Sector," Journal of Economic and Sustainable Growth 3, Office Of The Chief Economist, Development Bank of Nigeria.
    19. Brian Colgan, 2023. "EU-SILC and the potential for synthetic panel estimates," Empirical Economics, Springer, vol. 64(3), pages 1247-1280, March.
    20. Rumman Khan, 2021. "Assessing Sampling Error in Pseudo‐Panel Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 742-769, June.

    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:eee:socmed:v:177:y:2017:i:c:p:158-168. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.