IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp12434.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp12434.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Ben Etheridge & Aitor Irastorza-Fadrique & Michael J. Böhm, 2024. "The impact of labour demand shocks when occupational labour supplies are heterogeneous," IFS Working Papers W24/28, Institute for Fiscal Studies.
    5. Gardberg, Malin & Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2020. "Digitization-based automation and occupational dynamics," Economics Letters, Elsevier, vol. 189(C).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Boddin, Dominik & Kroeger, Thilo, 2021. "Structural change revisited: The rise of manufacturing jobs in the service sector," Discussion Papers 38/2021, Deutsche Bundesbank.
    11. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikolaos Terzidis & Raquel Ortega‐Argilés, 2021. "Employment polarization in regional labor markets: Evidence from the Netherlands," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 971-1001, November.
    2. Cortes, Guido Matias & Salvatori, Andrea, 2019. "Delving into the demand side: Changes in workplace specialization and job polarization," Labour Economics, Elsevier, vol. 57(C), pages 164-176.
    3. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the Digital Divide: Workers' Exposure to Digitalization and Its Consequences for Individual Employment," IZA Discussion Papers 14649, Institute of Labor Economics (IZA).
    4. Guido Matias Cortes & Giovanni Gallipoli, 2018. "The Costs of Occupational Mobility: An Aggregate Analysis," Journal of the European Economic Association, European Economic Association, vol. 16(2), pages 275-315.
    5. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    6. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, Institute of Labor Economics (IZA).
    7. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    8. Carl Sanders & Christopher Taber, 2012. "Life-Cycle Wage Growth and Heterogeneous Human Capital," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 399-425, July.
    9. Schmidpeter, Bernhard & Winter-Ebmer, Rudolf, 2021. "Automation, unemployment, and the role of labor market training," European Economic Review, Elsevier, vol. 137(C).
    10. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    11. Cavaglia, Chiara & Etheridge, Ben, 2020. "Job polarization and the declining quality of knowledge workers: Evidence from the UK and Germany," Labour Economics, Elsevier, vol. 66(C).
    12. Parteka, Aleksandra & Wolszczak-Derlacz, Joanna & Nikulin, Dagmara, 2024. "How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    13. Guido Matias Cortes & Giovanni Gallipoli, 2014. "The Costs of Occupational Mobility: An Aggregate Analysis," Working Papers 2014-015, Human Capital and Economic Opportunity Working Group.
    14. Terhi Maczulskij, 2024. "Occupational Mobility of Routine Workers," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(5), pages 1198-1229, October.
    15. Nicola Cassandro & Marco Centra & Dario Guarascio & Piero Esposito, 2021. "What drives employment–unemployment transitions? Evidence from Italian task-based data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1109-1147, October.
    16. Vallizadeh, Ehsan & Muysken, Joan & Ziesemer, Thomas, 2016. "Offshoring medium-skill tasks, low-skill unemployment and the skill-wage structure," MERIT Working Papers 2016-070, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    17. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    18. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    19. Fabian Sander & Irene Kriesi, 2019. "Medium and Long-Term Returns to Professional Education in Switzerland: Explaining Differences between Occupational Fields," Social Inclusion, Cogitatio Press, vol. 7(3), pages 136-153.
    20. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp12434. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.