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The skill-specifc impact of past and projected occupational declinea

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  • Hensvik, Lena

    (IFAU - Institute for Evaluation of Labour Market and Education Policy)

  • Nordström Skans, Oskar

    (IFAU - Institute for Evaluation of Labour Market and Education Policy)

Abstract

Using very detailed register data on cognitive abilities and productive personality traits for nearly all Swedish males at age 18, we show that employment in the recent past has shifted towards skill-intensive occupations. Employment growth is monotonically skill biased in relation to this set of general-purpose transferable skills, despite the well-known U-shaped (”polarizing”) relationship to occupational wage ranks. The patterns coexist because growing low-wage occupations tend to employ workers who are comparably skilled in these dimensions, whereas workers in declining mid-wage occupations instead have less of these general non-manual skills than suggested by their wages. Employment has primarily increased in occupations where workers have larger-than-average endowments of verbal and technical abilities and social maturity. Projections of future occupational decline and automation risks are even more skill-biased, but show similar associations to most of our specifc skill-measures. The most pronounced difference is that occupations relying on tolerance to stress are projected to decline in the coming decades.

Suggested Citation

  • Hensvik, Lena & Nordström Skans, Oskar, 2019. "The skill-specifc impact of past and projected occupational declinea," Working Paper Series 2019:28, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  • Handle: RePEc:hhs:ifauwp:2019_028
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    1. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    2. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    3. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    4. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    5. Christina Håkanson & Erik Lindqvist & Jonas Vlachos, 2021. "Firms and Skills: The Evolution of Worker Sorting," Journal of Human Resources, University of Wisconsin Press, vol. 56(2), pages 512-538.
    6. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    7. 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.
    8. 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).
    9. Andy Feng & Georg Graetz, 2020. "Training Requirements, Automation, and Job Polarisation," The Economic Journal, Royal Economic Society, vol. 130(631), pages 2249-2271.
    10. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    11. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    12. Per-Anders Edin & Peter Fredriksson & Martin Nybom & Björn Öckert, 2022. "The Rising Return to Noncognitive Skill," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 78-100, April.
    13. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    14. Gardberg, Malin & Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2020. "Digitization-based automation and occupational dynamics," Economics Letters, Elsevier, vol. 189(C).
    15. Michael J. Böhm & Hans-Martin von Gaudecker & Felix Schran, 2019. "Occupation Growth, Skill Prices, and Wage Inequality," CRC TR 224 Discussion Paper Series crctr224_2019_129, University of Bonn and University of Mannheim, Germany.
    16. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    17. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    18. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    19. 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.
    20. Peter Fredriksson & Lena Hensvik & Oskar Nordström Skans, 2018. "Mismatch of Talent: Evidence on Match Quality, Entry Wages, and Job Mobility," American Economic Review, American Economic Association, vol. 108(11), pages 3303-3338, November.
    21. Edward P. Lazear, 2009. "Firm-Specific Human Capital: A Skill-Weights Approach," Journal of Political Economy, University of Chicago Press, vol. 117(5), pages 914-940, October.
    22. 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.
    23. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    24. Enghin Atalay & Phai Phongthiengtham & Sebastian Sotelo & Daniel Tannenbaum, 2020. "The Evolution of Work in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 1-34, April.
    25. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    26. 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.
    27. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    28. Magnus Carlsson & Gordon B. Dahl & Björn Öckert & Dan-Olof Rooth, 2015. "The Effect of Schooling on Cognitive Skills," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 533-547, July.
    29. 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.
    30. J. Peter Nilsson, 2017. "Alcohol Availability, Prenatal Conditions, and Long-Term Economic Outcomes," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1149-1207.
    31. Jovanovic, Boyan, 1979. "Job Matching and the Theory of Turnover," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 972-990, October.
    32. Tom Mitchell & Erik Brynjolfsson, 2017. "Track how technology is transforming work," Nature, Nature, vol. 544(7650), pages 290-292, April.
    33. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    34. Cortes, Guido Matias & Jaimovich, Nir & Siu, Henry E., 2017. "Disappearing routine jobs: Who, how, and why?," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 69-87.
    35. Adrian Adermon & Magnus Gustavsson, 2015. "Job Polarization and Task-Biased Technological Change: Evidence from Sweden, 1975–2005," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(3), pages 878-917, July.
    36. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
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    Cited by:

    1. Gardberg, Malin & Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2020. "Digitization-based automation and occupational dynamics," Economics Letters, Elsevier, vol. 189(C).
    2. Nordström Skans, Oskar & Choné, Philippe & Kramarz, Francis, 2022. "When workers’ skills become unbundled: Some empirical consequences for sorting and wages," Working Paper Series 2022:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. Neumann, Uwe, 2023. "Regional adaptability to digital change: May the Swabian force be with you," Ruhr Economic Papers 1004, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. 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.

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    More about this item

    Keywords

    Skills; Polarization; Future of Work;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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