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Sick Leave and the Composition of Work Teams

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Author Info
Matthias Weiss () (Mannheim Research Institute for the Economics of Aging (MEA))

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Abstract

In this paper, I analyse the relation between workers’ sick leave and the composition of their work teams with respect to age, job tenure, education, and nationality. The probability of sick leave of workers in work teams is shown to be lower if their teammates are older, have shorter job tenure, are less educated, female and of same nationality. In particular, the difference between a worker’s age and the average age of her teammates explains a large part of the well-known positive correlation between age and sick days. In fact, for workers older than 44 years, individual age does not have any significant effect on sick days if the difference between individual age and average team age is held constant. This age difference can be controlled by the management. If older workers have more sick days only if they work in teams with younger workers, it might optimal to form age-homogeneous work teams.

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Publisher Info
Paper provided by Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim in its series MEA discussion paper series with number 07149.

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Date of creation: 02 Nov 2008
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Handle: RePEc:mea:meawpa:07149

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Postal: MEA - Mannheimer Forschungsinstitut Ökonomie und Demographischer Wandel, L13, 17, University of Mannheim, 68131 Mannheim
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Find related papers by JEL classification:
J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped
I10 - Health, Education, and Welfare - - Health - - - General
M54 - Business Administration and Business Economics; Marketing; Accounting - - Personnel Economics - - - Labor Management

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  1. 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 214-29, March. [Downloadable!] (restricted)
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  2. Flabbi, Luca & Ichino, Andrea, 2001. "Productivity, seniority and wages: new evidence from personnel data," Labour Economics, Elsevier, vol. 8(3), pages 359-387, June. [Downloadable!] (restricted)
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  3. Askildsen, J.E. & Bratberg, E. & Nilsen, O.A., 2000. "Sickness Absence over the Business Cycle," Norway; Department of Economics, University of Bergen 0400, Department of Economics, University of Bergen.
  4. Bridges, Sarah & Mumford, Karen, 2001. "Absenteeism in the UK: A Comparison across Genders," Manchester School, University of Manchester, vol. 69(3), pages 276-84, June. [Downloadable!] (restricted)
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  5. Paringer, Lynn, 1983. "Women and Absenteeism: Health or Economics?," American Economic Review, American Economic Association, vol. 73(2), pages 123-27, May. [Downloadable!] (restricted)
  6. Steven G. Allen, 1981. "Compensation, safety, and absenteeism: Evidence from the paper industry," Industrial and Labor Relations Review, ILR Review, ILR School, Cornell University, vol. 34(2), pages 207-218, January.
  7. Magnus Henrekson & Mats Persson, 2004. "The Effects on Sick Leave of Changes in the Sickness Insurance System," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 87-114, January. [Downloadable!]
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  8. Andrea Ichino & Enrico Moretti, 2006. "Biological Gender Differences, Absenteeism and the Earning Gap," IZA Discussion Papers 2207, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
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