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How do Automation and Offshorability Influence Unemployment Duration and Subsequent Job Quality?

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Abstract

We analyze the effect of automation and offshorability on unemployment duration and postunemployment outcomes such as wages and employment stability. Our rich administrative data allow us to evaluate the importance of providing unemployment training in this context. Employing a multivariate mixed proportional hazard model to deal with selectivity, we find that both the routine content in tasks as well as the probability of off-shoring negatively affects the re-employment possibilities. Labor market training is helping workers to ameliorate these negative effects and is remarkably on the spot. For workers who find re-employment, our results show that offshorability (but not automation) affects future job duration and wages positively. Our analysis reveals interesting differences by gender.

Suggested Citation

  • Bernhard Schmidpeter & Rudolf Winter-Ebmer, 2018. "How do Automation and Offshorability Influence Unemployment Duration and Subsequent Job Quality?," CDL Aging, Health, Labor working papers 2018-05, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    • Handle: RePEc:jku:cdlwps:wp1805
    Note: English
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    1. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    2. Alan S. Blinder & Alan B. Krueger, 2013. "Alternative Measures of Offshorability: A Survey Approach," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 97-128.
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    Cited by:

    1. Brunello, Giorgio & Wruuck, Patricia & Maurin, Laurent, 2019. "Skill shortages and skill mismatch in Europe: A review of the literature," EIB Working Papers 2019/05, European Investment Bank (EIB).
    2. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    3. Schmidpeter, Bernhard & Winter-Ebmer, Rudolf, 2021. "Automation, unemployment, and the role of labor market training," European Economic Review, Elsevier, vol. 137(C).
    4. Brunello, Giorgio & Wruuck, Patricia, 2019. "Skill Shortages and Skill Mismatch in Europe: A Review of the Literature," IZA Discussion Papers 12346, Institute of Labor Economics (IZA).
    5. Malo, Miguel & Cueto, Begoña, 2019. "Do old and new labour market risks overlap? Automation, offshorability, and non-standard employment," MPRA Paper 95058, University Library of Munich, Germany.
    6. Katharina Dengler & Katrin Hohmeyer & Cordula Zabel, 2021. "Welfare recipients’ transition into employment and employment stability in Germany," LABOUR, CEIS, vol. 35(4), pages 450-484, December.

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    More about this item

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • F66 - International Economics - - Economic Impacts of Globalization - - - Labor

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