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The Rise in Absenteeism: Disentangling the Impacts of Cohort, Age and Time

Author

Listed:
  • Biorn, Erik

    (University of Oslo)

  • Gaure, Simen

    (Ragnar Frisch Centre for Economic Research)

  • Markussen, Simen

    (Ragnar Frisch Centre for Economic Research)

  • Røed, Knut

    (Ragnar Frisch Centre for Economic Research)

Abstract

We examine the remarkable rise in absenteeism among Norwegian employees since the early 1990's, with particular emphasis on disentangling the roles of cohort, age, and time. Based on a fixed effects model, we show that individual age-adjusted absence propensities have risen even more than aggregate absence rates from 1993 to 2005, debunking the popular hypothesis that the rise in absenteeism resulted from the inclusion of new cohorts – with weaker work-norms – into the workforce. We also reject the idea that the rise in absenteeism resulted from more successful integration of workers with poor health; on the contrary, a massive rise in disability rolls during the 1990’s suggest that poor-health workers have left the labor market in unprecedented numbers.

Suggested Citation

  • Biorn, Erik & Gaure, Simen & Markussen, Simen & Røed, Knut, 2010. "The Rise in Absenteeism: Disentangling the Impacts of Cohort, Age and Time," IZA Discussion Papers 5091, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp5091
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The mysterious rise of absenteeism in Norway
      by Economic Logician in Economic Logic on 2010-08-31 18:56:00

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    Cited by:

    1. Simen Markussen & Knut Røed, 2015. "Social Insurance Networks," Journal of Human Resources, University of Wisconsin Press, vol. 50(4), pages 1081-1113.
    2. Biørn, Erik, 2013. "Age-Cohort-Time Effects in Sickness Absence: Exploring a Large Data Set by Polynomial Regression," Memorandum 19/2013, Oslo University, Department of Economics.
    3. Caroline Krafft, 2020. "Why is fertility on the rise in Egypt? The role of women’s employment opportunities," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1173-1218, October.
    4. Biørn, Erik, 2013. "Identifying Age-Cohort-Time Effects, Their Curvature and Interactions from Polynomials: Examples Related to Sickness Absence," Memorandum 08/2013, Oslo University, Department of Economics.
    5. Karsten Marshall Elseth Rieck & Kjetil Telle, 2012. "Sick leave before, during and after pregnancy," Discussion Papers 690, Statistics Norway, Research Department.

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    Keywords

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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