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Individual Consequences of Occupational Decline

Author

Listed:
  • Edin, Per-Anders

    (Uppsala University)

  • Evans, Tiernan

    (CEP, London School of Economics)

  • Graetz, Georg

    (Uppsala University)

  • Hernnäs, Sofia

    (Uppsala University)

  • Michaels, Guy

    (London School of Economics)

Abstract

What are the earnings and employment losses that workers suffer when demand for their occupations declines? To answer this question we combine forecasts on occupational employment changes, which allow us to identify unanticipated declines; administrative data on the population of Swedish workers, spanning several decades; and a highly detailed occupational classification. We find that, compared to similar workers, those facing occupational decline lost about 2-5 percent of mean cumulative earnings from 1986-2013. But workers at the bottom of their occupations' initial earnings distributions suffered considerably larger losses. These earnings losses are partly accounted for by reduced employment, and increased unemployment and retraining.

Suggested Citation

  • Edin, Per-Anders & Evans, Tiernan & Graetz, Georg & Hernnäs, Sofia & Michaels, Guy, 2019. "Individual Consequences of Occupational Decline," IZA Discussion Papers 12434, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12434
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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. Antti Kauhanen & Krista Riukula, 2024. "The costs of job loss and task usage: Do social tasks soften the drop?," Empirical Economics, Springer, vol. 67(4), pages 1355-1374, October.
    8. 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.
    9. Boddin, Dominik & Kroeger, Thilo, 2021. "Structural change revisited: The rise of manufacturing jobs in the service sector," Discussion Papers 38/2021, Deutsche Bundesbank.
    10. 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

    occupations; technological change; inequality;
    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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