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Occupational Tasks in the German Labour Market : an alternative measurement on the basis of an expert database

Author

Listed:
  • Dengler, Katharina

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

  • Matthes, Britta

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

  • Paulus, Wiebke

    (Department of Statistics of the Federal Employment Agency)

Abstract

"In recent times, the concept of tasks increasingly arises in the literature. Tasks defined as occupational tasks that individuals have to perform get more and more important in analysing different research questions. The most common application is the task-based approach (Autor/Levy/Murnane 2003) that explains rising wage inequality in many industrialised countries by changing tasks. However, the distinction between analytical/interactive and manual non-routine tasks as well as cognitive and manual routine tasks also provides a basic concept for further research on tasks like a task-based analysis of occupational segmentation of the labour market or occupational mobility. In contrast to the existing task operationalisations in Germany that are based on survey data, we use - following the approach in the U.S. - expert knowledge about competencies and skills - that are usually required for performing an occupation. Based on an expert database (BERUFENET of the German Federal Employment Agency), we provide an alternative task operationalisation for Germany and calculate the main task type and the composition of tasks for different occupational classifications (German Classification of Occupations 1988 and German Classification of Occupations 2010) and for different classification levels (2-digit- and 3-digit-codes). In this paper, we describe our procedure and provide first descriptive results on the validity of our new task operationalisation." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Dengler, Katharina & Matthes, Britta & Paulus, Wiebke, 2014. "Occupational Tasks in the German Labour Market : an alternative measurement on the basis of an expert database," FDZ-Methodenreport 201412 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabfme:201412(en)
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    Citations

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    Cited by:

    1. Nikolas Schöll & Thomas Kurer, 2021. "How Technological Change Affects Regional Electorates," Working Papers 1269, Barcelona School of Economics.
    2. Coban, Mustafa, 2017. "Wage mobility, wage inequality, and tasks: Empirical evidence from Germany, 1984-2014," Discussion Paper Series 139, Julius Maximilian University of Würzburg, Chair of Economic Order and Social Policy.
    3. Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.
    4. Dengler, Katharina & Stops, Michael & Vicari, Basha, 2016. "Occupation-specific matching efficiency," IAB-Discussion Paper 201616, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Knörr, Marlene & Weber, Enzo, 2018. "Labor markets and labor mobility in the French-German border region," IAB-Discussion Paper 201802, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    7. Kaori Fujishiro & Franziska Koessler, 2020. "Comparing self-reported and O*NET-based assessments of job control as predictors of self-rated health for non-Hispanic whites and racial/ethnic minorities," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    8. Bias, Daniel & Chen, Lin & Lochner, Benjamin & Schmid, Thomas, 2020. "Measuring workers' financial incentives," FAU Discussion Papers in Economics 07/2020, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    9. Emil Mihaylov & Kea Tijdens, 2019. "Measuring the Routine and Non-Routine Task Content of 427 Four-Digit ISCO-08 Occupations," Tinbergen Institute Discussion Papers 19-035/IV, Tinbergen Institute.

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