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Individual Consequences of Occupational Decline

Author

Listed:
  • Per-Anders Edin
  • Tiernan Evans
  • Georg Graetz
  • Sofia Hernnäs
  • Guy Michaels
Abstract
We assess the career earnings losses that individual Swedish workers suffered when their occupations’ employment declined. High-quality data allow us to overcome sorting into declining occupations on various attributes, including cognitive and non-cognitive skills. Our estimates show that occupational decline reduced mean cumulative earnings from 1986–2013 by no more than 2%–5%. This loss reflects a combination of reduced earnings conditional on employment, reduced years of employment and increased time spent in unemployment and retraining. While on average workers successfully mitigated their losses, those initially at the bottom of their occupations’ earnings distributions lost up to 8%–11%.

Suggested Citation

  • Per-Anders Edin & Tiernan Evans & Georg Graetz & Sofia Hernnäs & Guy Michaels, 2023. "Individual Consequences of Occupational Decline," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2178-2209.
    • Handle: RePEc:oup:econjl:v:133:y:2023:i:654:p:2178-2209.
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    File URL: http://hdl.handle.net/10.1093/ej/uead027
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    1. Ronald Bachmann & Merve Cim & Colin Green, 2019. "Long‐Run Patterns of Labour Market Polarization: Evidence from German Micro Data," British Journal of Industrial Relations, London School of Economics, vol. 57(2), pages 350-376, June.
    2. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    3. Guido Matias Cortes, 2016. "Where Have the Middle-Wage Workers Gone? A Study of Polarization Using Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 63-105.
    4. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    5. Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, April.
    6. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    7. David H. Autor & David Dorn & Gordon H. Hanson & Jae Song, 2014. "Trade Adjustment: Worker-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1799-1860.
    8. Achim Schmillen, 2019. "Vocational education, occupational choice and unemployment over the professional career," Empirical Economics, Springer, vol. 57(3), pages 805-838, September.
    9. Maxim Poletaev & Chris Robinson, 2008. "Human Capital Specificity: Evidence from the Dictionary of Occupational Titles and Displaced Worker Surveys, 1984-2000," Journal of Labor Economics, University of Chicago Press, vol. 26(3), pages 387-420, July.
    10. Marcus Eliason & Donald Storrie, 2006. "Lasting or Latent Scars? Swedish Evidence on the Long-Term Effects of Job Displacement," Journal of Labor Economics, University of Chicago Press, vol. 24(4), pages 831-856, October.
    11. Sullivan, Paul, 2010. "Empirical evidence on occupation and industry specific human capital," Labour Economics, Elsevier, vol. 17(3), pages 567-580, June.
    12. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    13. Erik Lindqvist & Roine Vestman, 2011. "The Labor Market Returns to Cognitive and Noncognitive Ability: Evidence from the Swedish Enlistment," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 101-128, January.
    14. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    15. Parent, Daniel, 2000. "Industry-Specific Capital and the Wage Profile: Evidence from the National Longitudinal Survey of Youth and the Panel Study of Income Dynamics," Journal of Labor Economics, University of Chicago Press, vol. 18(2), pages 306-323, April.
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    Cited by:

    1. Lewandowski, Piotr & Keister, Roma & Hardy, Wojciech & Górka, Szymon, 2020. "Ageing of routine jobs in Europe," Economic Systems, Elsevier, vol. 44(4).
    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. Blien, Uwe & Dauth, Wolfgang & Roth, Duncan H.W., 2021. "Occupational routine intensity and the costs of job loss: evidence from mass layoffs," Labour Economics, Elsevier, vol. 68(C).
    4. Gardberg, Malin & Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2020. "Digitization-based automation and occupational dynamics," Economics Letters, Elsevier, vol. 189(C).
    5. Georg Graetz, 2019. "Labor Demand in the Past, Present, and Future," European Economy - Discussion Papers 114, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Hideki Nakamura & Joseph Zeira, 2024. "Automation and unemployment: help is on the way," Journal of Economic Growth, Springer, vol. 29(2), pages 215-250, June.
    7. Graetz, Georg, 2020. "Technological change and the Swedish labor market," Working Paper Series 2020:19, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    8. Boddin, Dominik & Kroeger, Thilo, 2021. "Structural change revisited: The rise of manufacturing jobs in the service sector," Discussion Papers 38/2021, Deutsche Bundesbank.
    9. Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2021. "Automation, Work and Productivity: The Role of Firm Heterogeneity," Working Paper Series 1382, Research Institute of Industrial Economics, revised 09 Mar 2023.

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    More about this item

    Keywords

    O33; J24; J62;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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