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Individual and Workplace-Specific Determinants of Paid and Unpaid Overtime Work in Germany

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  • Ines Zapf

Abstract

In Germany, overtime work is a well-established instrument for varying working hours of employees and is of great importance for establishments as a measure of internal flexibility. However, not all employees are affected to the same degree by a variation of the work effort through overtime work. Besides socio-demographic factors, workplace-specific factors that provide information about the position of employees in the establishment play an important role, too. So far, we do not know enough how these workplace-specific factors are associated with overtime work. This question is at the center of this study. In the analysis, women and part-time employees are taken into account, while previous studies mostly focused on full-time employees and/or male workers. On the basis of the data of the German Socio-Economic Panel (SOEP), the results show a significant negative correlation between women and paid overtime and between part-time employees and unpaid overtime. If the employees performance is regularly assessed by a superior, paid overtime is less likely, while unpaid overtime becomes more likely. In executive positions, there is a significant positive correlation with paid and unpaid overtime work. Unpaid overtime is more likely with a growing autonomy in the employees’ workplace, whereas paid overtime becomes less likely. However, the length of the training period on the job as well as job related burdens due to a job at risk and a limited employment contract seem to have no association with paid or unpaid overtime.

Suggested Citation

  • Ines Zapf, 2015. "Individual and Workplace-Specific Determinants of Paid and Unpaid Overtime Work in Germany," SOEPpapers on Multidisciplinary Panel Data Research 771, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp771
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    3. Klinger, Sabine & Weber, Enzo, 2016. "Detecting unemployment hysteresis: A simultaneous unobserved components model with Markov switching," Economics Letters, Elsevier, vol. 144(C), pages 115-118.
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    7. Mario Bossler & Alexander Mosthaf & Thorsten Schank, 2016. "More Female Manager Hires through More Female Managers? Evidence from Germany," Working Papers 1618, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    8. Zapf, Ines, 2015. "Who profits from working-time accounts? : empirical evidence on the determinants of working-time accounts on the employers' and employees' side," IAB-Discussion Paper 201523, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Lena Jarosch & Walther Zeug & Alberto Bezama & Matthias Finkbeiner & Daniela Thrän, 2020. "A Regional Socio-Economic Life Cycle Assessment of a Bioeconomy Value Chain," Sustainability, MDPI, vol. 12(3), pages 1-15, February.
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    More about this item

    Keywords

    Overtime work; internal flexibility;

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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