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Umfang und Folgen der Nichtinanspruchnahme von Urlaub in Deutschland

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  • Daniel D. Schnitzlein

Abstract

Rund 37 Prozent der abhängig Vollzeitbeschäftigten haben den ihnen zustehenden Urlaub im letzten Jahr nicht voll in Anspruch genommen. Die Zahl der tatsächlich genommenen Urlaubstage lag für jeden Arbeitnehmer im Durchschnitt um drei Tage unter seinem eigentlichen Urlaubsanspruch. Demnach werden etwa zwölf Prozent des Gesamtanspruchsvolumens an Urlaub nicht genutzt. Dies belegen die vom DIW Berlin zusammen mit TNS Infratest Sozialforschung erhobenen Daten des Sozio-oekonomischen Panels (SOEP). Es zeigt sich, dass jüngere Arbeitnehmer ihren Urlaub weniger ausschöpfen als ältere. Auch schöpfen vor allem Arbeitnehmer in kleineren Betrieben und Personen mit kurzer Betriebszugehörigkeit ihren Urlaub nicht voll aus. Die Unterausschöpfung von Urlaub geht mit kurzfristigen Einkommenszuwächsen einher. Es zeigen sich aber auch Einschränkungen der Lebensqualität.

Suggested Citation

  • Daniel D. Schnitzlein, 2011. "Umfang und Folgen der Nichtinanspruchnahme von Urlaub in Deutschland," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 78(51/52), pages 14-20.
    • Handle: RePEc:diw:diwwob:78-51-3
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    Citations

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    Cited by:

    1. Susanne Wanger & Roland Weigand & Ines Zapf, 2016. "Measuring hours worked in Germany – Contents, data and methodological essentials of the IAB working time measurement concept [Die Berechnung der geleisteten Arbeitsstunden in Deutschland – Inhalte,," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(3), pages 213-238, November.
    2. Wanger, Susanne & Weigand, Roland & Zapf, Ines, 2016. "Measuring hours worked in Germany : contents, data and methodological essentials of the IAB working time measurement concept (Die Berechnung der geleisteten Arbeitsstunden in Deutschland : Inhalte, Da," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(3), pages 213-238.
    3. Heuermann, Daniel F. & Assmann, Franziska & vom Berge, Philipp & Freund, Florian, 2017. "The distributional effect of commuting subsidies - Evidence from geo-referenced data and a large-scale policy reform," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 11-24.
    4. Wanger, Susanne & Weigand, Roland & Zapf, Ines, 2016. "Measuring hours worked in Germany : contents, data and methodological essentials of the IAB working time measurement concept (Die Berechnung der geleisteten Arbeitsstunden in Deutschland : Inhalte, Da," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(3), pages 213-238.
    5. Alexander Bick & Bettina Brüggemann & Nicola Fuchs‐Schündeln, 2019. "Hours Worked in Europe and the United States: New Data, New Answers," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(4), pages 1381-1416, October.

    More about this item

    Keywords

    Vacation; SOEP; labour supply;
    All these keywords.

    JEL classification:

    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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