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Interaction of job disamenities, job satisfaction, and sickness absences: Evidence from a representative sample of Finnish workers

  • Böckerman, Petri
  • Ilmakunnas, Pekka

This paper explores the potential role of adverse working conditions in the determination of workers’ sickness absences. Our data contain detailed information on the prevalence of job disamenities at the workplace from a representative sample of Finnish workers. The results from reduced-form models reveal that workers facing adverse working conditions tend to have a greater number of sickness absences. In addition, reduced-form models clearly show that regional labour market conditions are an important determinant of sickness absences. Hence, sickness absences are more common in regions of low unemployment. Recursive models suggest that job disamenities are associated with job dissatisfaction and dissatisfaction with workers’ sickness absences.

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File URL: https://mpra.ub.uni-muenchen.de/1800/1/MPRA_paper_1800.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 1800.

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Date of creation: 15 Dec 2006
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Handle: RePEc:pra:mprapa:1800
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  1. Barmby, Tim A. & Ercolani, Marco G. & Treble, John G., 2000. "Sickness Absence: An International Comparison," IRISS Working Paper Series 2000-03, IRISS at CEPS/INSTEAD.
  2. Broström, Göran & Palme, Mårten & Johansson, Per, 2002. "Economic incentives and gender differences in work absence behavior," Working Paper Series 2002:14, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  3. Petri Böckerman & Pekka Ilmakunnas, 2005. "Do Job Disamenities Raise Wages or Ruin Job Satisfaction?," Labor and Demography 0501001, EconWPA.
  4. Askildsen, Jan Erik & Bratberg, Espen & Nilsen, Øivind Anti, 2002. "Unemployment, Labour Force Composition and Sickness Absence: A Panel Data Study," IZA Discussion Papers 466, Institute for the Study of Labor (IZA).
  5. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," United Kingdom Stata Users' Group Meetings 2003 10, Stata Users Group.
  6. Lusine Lusinyan & Leo Bonato, 2007. "Work Absence in Europe," IMF Staff Papers, Palgrave Macmillan, vol. 54(3), pages 475-538, July.
  7. Shields, Michael A & Price, Stephen Wheatley, 2002. "Racial Harassment, Job Satisfaction and Intentions to Quit: Evidence from the British Nursing Profession," Economica, London School of Economics and Political Science, vol. 69(274), pages 295-26, May.
  8. Bertil Holmlund, 2003. "The Rise and Fall of Swedish Unemployment," CESifo Working Paper Series 918, CESifo Group Munich.
  9. Boone, Jan & van Ours, Jan C., 2006. "Are recessions good for workplace safety?," Journal of Health Economics, Elsevier, vol. 25(6), pages 1069-1093, November.
  10. Arai, Mahmood & Thoursie, Peter Skogman, 2005. "Incentives and selection in cyclical absenteeism," Labour Economics, Elsevier, vol. 12(2), pages 269-280, April.
  11. Andrea Ichino & Enrico Moretti, 2006. "Biological Gender Differences, Absenteeism and the Earning Gap," NBER Working Papers 12369, National Bureau of Economic Research, Inc.
  12. 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.
  13. John S. Heywood & Uwe Jirjahn, 2004. "Teams, Teamwork and Absence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(4), pages 765-782, December.
  14. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-38, May.
  15. Chiara Monfardini & Rosalba Radice, 2008. "Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 271-282, 04.
  16. L. Randall Wray & Stephanie Bell, 2004. "Introduction," Chapters, in: Credit and State Theories of Money, chapter 1 Edward Elgar Publishing.
  17. Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
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