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On the measurement of tasks: does expert data get it right?

Author

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  • Storm, Eduard

    (RWI-Leibniz Institute for Economic Research, Essen)

Abstract

"Using German survey and expert data on job tasks, this paper explores the presence of omitted-variable bias suspected in conventional task data derived from expert assessment. I show expert task data, which is expressed at the occupation-level, introduces omitted-variable bias in task returns on the order of 26–34%. Motivated by a theoretical framework, I argue this bias results from expert data ignoring individual heterogeneity rather than fundamental differences on the assessment of tasks between experts and workers. My findings have important implications for the interpretation of conventional task models as occupational task returns are overestimated. Moreover, a rigorous comparison of the statistical performance of various models offers guidance for future research regarding choice of task data and construction of task measures." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))

Suggested Citation

  • Storm, Eduard, 2023. "On the measurement of tasks: does expert data get it right?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-006.
    • Handle: RePEc:iab:iabjlr:v:57:i::p:a006
    DOI: 10.1186/s12651-023-00332-z
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    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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