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The Hedgehog’s Curse: Knowledge Specialization and Displacement Loss

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  • Victor Hernandez Martinez
  • Hans Holter
  • Roberto Pinheiro

Abstract

This paper studies the impact of knowledge specialization on earnings losses following displacement. We develop a novel measure of the specialization of human capital, based on how concentrated the knowledge used in an occupation is. Combining our measure with individual labor histories from the NLSY 79-97 and Norway’s LEED, we show that workers with more specialized human capital suffer larger earnings losses following exogenous displacement. A one standard deviation increase in pre-displacement knowledge specialization increases the earnings losses post-displacement by 3 to 4 pp per year in the US, and by 1.5 to 2 pp per year in Norway. In the US, the negative effect of higher pre-displacement knowledge specialization on post-displacement earnings is driven by the negative impact of knowledge specialization on well-paid outside opportunities. By contrast, this association between outside opportunities and knowledge specialization plays no role in post-displacement earnings losses in Norway, where the negative effect of specialization is in part explained by its association with the routine content and the offshoring probability of the occupation.

Suggested Citation

  • Victor Hernandez Martinez & Hans Holter & Roberto Pinheiro, 2022. "The Hedgehog’s Curse: Knowledge Specialization and Displacement Loss," Working Papers 22-31, Federal Reserve Bank of Cleveland.
    • Handle: RePEc:fip:fedcwq:95007
    DOI: 10.26509/frbc-wp-202231
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    References listed on IDEAS

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    1. 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).
    2. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    3. Pawel Krolikowski, 2017. "Job Ladders and Earnings of Displaced Workers," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(2), pages 1-31, April.
    4. Gueorgui Kambourov & Iourii Manovskii, 2009. "Occupational Mobility and Wage Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(2), pages 731-759.
    5. 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.
    6. Stevens, Ann Huff, 1997. "Persistent Effects of Job Displacement: The Importance of Multiple Job Losses," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 165-188, January.
    7. 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.
    8. Jakob R. Munch, 2010. "Whose Job Goes Abroad? International Outsourcing and Individual Job Separations," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(2), pages 339-360, June.
    9. 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.
    10. Burdett, Kenneth & Mortensen, Dale T, 1998. "Wage Differentials, Employer Size, and Unemployment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 257-273, May.
    11. 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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    Keywords

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    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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