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Who profits from working-time accounts? : empirical evidence on the determinants of working-time accounts on the employers' and employees' side

Author

Listed:
  • Zapf, Ines

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

"This study brings together results of the establishment and the individual level to get a better understanding of the use of working-time accounts in Germany. Using data from the Establishment Panel we first show that industrial relations factors, employment-contract characteristics and individual characteristics determine working-time accounts' use in establishments. Second, we provide the first analysis concerning the determinants of working-time accounts' use among employees and the employees' access to working-time accounts in establishments using working-time accounts. Using data from the German Socio Economic Panel we show that qualified employees more often have access to working-time accounts. Using linked-employer-employee data we show that in establishments using working-time accounts female employees, part-time employees and employees with fixed-term contracts are not disadvantaged regarding the access to working-time accounts." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • 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].
  • Handle: RePEc:iab:iabdpa:201523
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    File URL: https://doku.iab.de/discussionpapers/2015/dp2315.pdf
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    References listed on IDEAS

    as
    1. Jürgen Wiemers, 2015. "Endogenizing take-up of social assistance in a microsimulation model. A case study for Germany," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 4-27.
    2. 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.
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    4. Zapf, Ines, 2015. "Individual and workplace-specific determinants of paid and unpaid overtime work in Germany," IAB-Discussion Paper 201515, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. 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).
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    7. Wiemers, Jürgen, 2015. "Endogenizing take-up of social assistance in a microsimulation model : a case study for Germany," IAB-Discussion Paper 201520, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    9. Brenzel, Hanna & Reichelt, Malte, 2015. "Job mobility as a new explanation for the immigrant-native wage gap : a longitudinal analysis for the German labor market," IAB-Discussion Paper 201512, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Gabriele Fischer & Florian Janik & Dana Müller & Alexandra Schmucker, 2009. "European Data Watch: The IAB Establishment Panel - Things Users Should Know," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 129(1), pages 133-148.
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    12. Schanne, Norbert, 2015. "A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany," IAB-Discussion Paper 201513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    14. Alexander Herzog-Stein & Ines Zapf, 2014. "Navigating the Great Recession," ILR Review, Cornell University, ILR School, vol. 67(3), pages 891-925, July.
    15. Walwei, Ulrich, 2015. "From deregulation to re-regulation : trend reversal in German labour market institutions and its possible implications," IAB-Discussion Paper 201510, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    16. Veronika Hecht, 2017. "Location choice of German multinationals in the Czech Republic," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 25(4), pages 593-623, October.
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    Cited by:

    1. 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.
    2. Johann Fuchs & Enzo Weber, 2017. "Long-term unemployment and labour force participation: a decomposition of unemployment to test for the discouragement and added worker hypotheses," Applied Economics, Taylor & Francis Journals, vol. 49(60), pages 5971-5982, December.
    3. Eckman, Stephanie & Kreuter, Frauke, 2015. "Misreporting to looping questions in surveys : recall, motivation and burden," IAB-Discussion Paper 201529, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Mendolicchio, C. & Pietra, T., 2016. "Endowment redistribution and Pareto improvements in GEI economies," Journal of Mathematical Economics, Elsevier, vol. 67(C), pages 181-190.

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Beschäftigungsform ; Betriebsgröße ; geschlechtsspezifische Faktoren ; IAB-Betriebspanel ; Personalpolitik ; qualifikationsspezifische Faktoren ; Teilzeitarbeitnehmer ; Wirtschaftszweige ; Arbeitszeitflexibilität ; Arbeitszeitkonto ; 2002-2012;
    All these keywords.

    JEL classification:

    • J51 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Trade Unions: Objectives, Structure, and Effects
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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