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Measuring hours worked in Germany : contents, data and methodological essentials of the IAB working time measurement concept

Author

Listed:
  • Wanger, Susanne

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

  • Weigand, Roland

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

  • Zapf, Ines

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

Abstract

"This article presents the IAB working time measurement concept, which determines the hours worked in Germany and their individual components. These statistics are essential for a proper analysis of aggregate labour market trends and cyclical fluctuations. We outline the conceptual and methodological framework of the measurement, which evolves further due to its integration in the system of national accounts and due to innovations to the statistical procedures applied. An overview of single components and their data sources is given, while the resulting time series of hours worked and the volume of work are depicted according to their long run trends, cyclical variation and reaction in the 2008/09 financial and economic crisis." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Wanger, Susanne & Weigand, Roland & Zapf, Ines, 2015. "Measuring hours worked in Germany : contents, data and methodological essentials of the IAB working time measurement concept," IAB-Discussion Paper 201521, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabdpa:201521
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    1. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
    2. Dengler, Katharina, 2013. "Effectiveness of sequences of One-Euro-Jobs : is it better to do more One-Euro-Jobs or to wait?," IAB-Discussion Paper 201316, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Michael C. Burda & Jennifer Hunt, 2011. "What Explains the German Labor Market Miracle in the Great Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 273-335.
    4. Balleer, Almut & Gehrke, Britta & Lechthaler, Wolfgang & Merkl, Christian, 2016. "Does short-time work save jobs? A business cycle analysis," European Economic Review, Elsevier, vol. 84(C), pages 99-122.
    5. Bispinck, Reinhard, 2005. "Immer flexibler - und immer länger? Tarifliche Regelungen zur Arbeitszeit und ihrer Gestaltung. Eine Analyse von 24 Tarifbereichen," Analysen zur Tarifpolitik 57, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    6. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    7. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    8. Heineck, Guido, 2009. "The determinants of secondary jobholding in Germany and the UK," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 42(2), pages 107-120.
    9. Karl Brenke, 2009. "Erwerbstätige mit Nebentätigkeiten in Deutschland und in Europa," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 76(35), pages 598-607.
    10. repec:hum:wpaper:sfb649dp2011-031 is not listed on IDEAS
    11. Krieg, Sabine & van den Brakel, Jan A., 2012. "Estimation of the monthly unemployment rate for six domains through structural time series modelling with cointegrated trends," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2918-2933.
    12. Christian Saborowski & Jürgen Schupp & Gert G. Wagner, 2004. "Urlaub in Deutschland: Erwerbstätige nutzen ihren Urlaubsanspruch oftmals nicht aus," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 71(15), pages 171-176.
    13. Ohanian, Lee E. & Raffo, Andrea, 2012. "Aggregate hours worked in OECD countries: New measurement and implications for business cycles," Journal of Monetary Economics, Elsevier, vol. 59(1), pages 40-56.
    14. Hermann Gartner & Sabine Klinger, 2010. "Verbesserte Institutionen für den Arbeitsmarkt in der Wirtschaftskrise," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 90(11), pages 728-734, November.
    15. Klinger, Sabine & Weber, Enzo, 2015. "GDP-Employment Decoupling and the Productivity Puzzle in Germany," University of Regensburg Working Papers in Business, Economics and Management Information Systems 485, University of Regensburg, Department of Economics.
    16. Wanger, Susanne & Weigand, Roland & Zapf, Ines, 2014. "Revision der IAB-Arbeitszeitrechnung 2014 : Grundlagen, methodische Weiterentwicklungen sowie ausgewählte Ergebnisse im Rahmen der Revision der Volkswirtschaftlichen Gesamtrechnungen," IAB-Forschungsbericht 201409, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Brautzsch, Hans-Ulrich & Drechsel, Katja & Schultz, Birgit, 2012. "Unbezahlte Überstunden in Deutschland," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 18(10), pages 308-315.
    18. Ellguth, Peter & Kohaut, Susanne, 2014. "Tarifbindung und betriebliche Interessenvertretung: Ergebnisse aus dem IAB-Betriebspanel 2013," WSI-Mitteilungen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 67(4), pages 286-295.
    19. Pfeffermann, Danny & Tiller, Richard, 2006. "Small-Area Estimation With StateSpace Models Subject to Benchmark Constraints," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1387-1397, December.
    20. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, May.
    21. 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.
    22. Susanne Wanger, 2013. "Arbeitszeit und Arbeitsvolumen in Deutschland – Methodische Grundlagen und Ergebnisse der Arbeitszeitrechnung," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 7(1), pages 31-69, August.
    23. Karl Brenke, 2013. "Allein tätige Selbständige: starkes Beschäftigungswachstum, oft nur geringe Einkommen," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 80(7), pages 3-16.
    24. Alexander Herzog-Stein & Ines Zapf, 2014. "Navigating the Great Recession," ILR Review, Cornell University, ILR School, vol. 67(3), pages 891-925, July.
    25. Robert Shimer, 2010. "Labor Markets and Business Cycles," Economics Books, Princeton University Press, edition 1, number 9217.
    26. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    27. Weigand Roland & Wanger Susanne & Zapf Ines, 2018. "Factor Structural Time Series Models for Official Statistics with an Application to Hours Worked in Germany," Journal of Official Statistics, Sciendo, vol. 34(1), pages 265-301, March.
    28. Hans-Ulrich Brautzsch & Katja Drechsel & Birgit Schultz, 2012. "Unbezahlte Überstunden in Deutschland," Wirtschaft im Wandel, Halle Institute for Economic Research, vol. 18(10), pages 308-315.
    29. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
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    Cited by:

    1. 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.
    2. Fuchs, Johann & Gehrke, Britta & Hummel, Markus & Hutter, Christian & Klinger, Sabine & Wanger, Susanne & Weber, Enzo & Zika, Gerd, 2018. "IAB-Prognose für 2018/2019: Aufschwung bleibt, verliert aber an Tempo," IAB-Kurzbericht 201821, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Wanger, Susanne & Weber, Enzo, 2016. "Erwerbspotenziale von Arbeitslosen und Erwerbstätigen: Das Stundenvolumen bringt zusätzliche Information (Employment potential of the labour force : Additional information from hours)," IAB-Kurzbericht 201608, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Fuchs, Johann & Gehrke, Britta & Hummel, Markus & Hutter, Christian & Wanger, Susanne & Weber, Enzo & Weigand, Roland & Zika, Gerd, 2016. "IAB-Prognose 2016/2017: Arbeitslosigkeit sinkt weiter," IAB-Kurzbericht 201620, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Christoph, Bernhard, 2015. "Empirische Maße zur Erfassung von Armut und materiellen Lebensbedingungen : Ansätze und Konzepte im Überblick," IAB-Discussion Paper 201525, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. 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.
    7. 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].
    8. Fuchs, Johann & Hummel, Markus & Hutter, Christian & Klinger, Sabine & Wanger, Susanne & Weber, Enzo & Zika, Gerd, 2018. "IAB-Prognose für Wirtschaft und Arbeitsmarkt 2018: Aufschwung auf dem Höhepunkt," IAB-Kurzbericht 201807, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Fuchs, Johann & Gehrke, Britta & Hummel, Markus & Hutter, Christian & Klinger, Sabine & Wanger, Susanne & Weber, Enzo & Zika, Gerd, 2019. "IAB-Prognose 2019: Trotz Konjunkturflaute: Arbeitsmarkt hält Kurs," IAB-Kurzbericht 201907, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Fuchs, Johann & Hummel, Markus & Hutter, Christian & Klinger, Sabine & Wanger, Susanne & Weber, Enzo & Zika, Gerd, 2017. "IAB-Prognose 2017: Der Arbeitsmarkt stellt neue Rekorde auf (IAB forecast 2017: The labour market sets new records)," IAB-Kurzbericht 201709, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. 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].
    12. Dietrich, Hans, 2015. "Jugendarbeitslosigkeit aus einer europäischen Perspektive : theoretische Ansätze, empirische Konzepte und ausgewählte Befunde," IAB-Discussion Paper 201524, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Weigand Roland & Wanger Susanne & Zapf Ines, 2018. "Factor Structural Time Series Models for Official Statistics with an Application to Hours Worked in Germany," Journal of Official Statistics, Sciendo, vol. 34(1), pages 265-301, March.

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    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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