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The Costs of Occupational Mobility: An Aggregate Analysis

Author

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  • Guido Matias Cortes

    (Department of Economics, University of Manchester, UK; The Rimini Centre for Economic Analysis, Italy)

  • Giovanni Gallipoli

    (University of British Columbia, Canada; HCEO, USA; The Rimini Centre for Economic Analysis, Italy)

Abstract

We estimate the costs of occupational mobility using a novel approach that relies on aggregate flows of workers across occupations rather than on wage data. The theoretical underpinnings for this approach are derived from a model of occupation choice that delivers a gravity equation linking worker flows to occupation characteristics and to transition costs, which we proxy using task data from the Dictionary of Occupational Titles (DOT). Occupation flow data are constructed from the matched monthly Current Population Survey (CPS) between 1994 and 2012. We find that transition costs vary widely across occupations, are increasing in task distance (the dissimilarity in the mix of tasks performed in the two occupations) and are higher for transitions across broad task categories. However, most of the transition costs are accounted for by general, task-independent entry costs, specific to each destination occupation.

Suggested Citation

  • Guido Matias Cortes & Giovanni Gallipoli, 2014. "The Costs of Occupational Mobility: An Aggregate Analysis," Working Paper series 17_14, Rimini Centre for Economic Analysis.
  • Handle: RePEc:rim:rimwps:17_14
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    References listed on IDEAS

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    7. 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.
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    Cited by:

    1. David Comerford & Jose V Rodriguez Mora & Michael J Watts, 2017. "The rise of meritocracy and the inheritance of advantage," Working Papers 1716, University of Strathclyde Business School, Department of Economics.
    2. Livia Anastasiu & Ovidiu Gavriş & Dorin Maier, 2020. "Is Human Capital Ready for Change? A Strategic Approach Adapting Porter’s Five Forces to Human Resources," Sustainability, MDPI, Open Access Journal, vol. 12(6), pages 1-20, March.
    3. Ji Ting, 2019. "Aggregate implications of occupational inheritance in China and India," The B.E. Journal of Macroeconomics, De Gruyter, vol. 19(1), pages 1-24, January.
    4. Ronald Bachmann & Peggy Bechara & Christina Vonnahme, 2020. "Occupational Mobility in Europe: Extent, Determinants and Consequences," De Economist, Springer, vol. 168(1), pages 79-108, March.
    5. 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).
    6. Joao Alfredo Galindo da Fonseca & Giovanni Gallipoli & Yaniv Yedid-Levi, 2016. "Revisiting the Relationship Between Unemployment and Wages," Working Papers 2016-001, Human Capital and Economic Opportunity Working Group.
    7. Brant Abbott & Giovanni Gallipoli, 2017. "Human Capital Spillovers and the Geography of Intergenerational Mobility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 208-233, April.
    8. Kondo, Ayako & Naganuma, Saori, 2015. "Inter-industry labor reallocation and task distance," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 127-147.
    9. Christian Bredemeier & Falko Juessen & Roland Winkler, 2020. "Fiscal Policy and Occupational Employment Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(6), pages 1527-1563, September.
    10. Blesse, Sebastian & Diegmann, André, 2019. "Police reorganization and crime: Evidence from police station closures," ZEW Discussion Papers 18-044, ZEW - Leibniz Centre for European Economic Research.
    11. Artuç, Erhan & McLaren, John, 2015. "Trade policy and wage inequality: A structural analysis with occupational and sectoral mobility," Journal of International Economics, Elsevier, vol. 97(2), pages 278-294.
    12. Bauer, Anja, 2015. "Reallocation patterns across occupations," IAB Discussion Paper 201526, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Joao Alfredo Galindo da Fonseca & Giovanni Gallipoli & Yaniv Yedid-Levi, 2017. "Match Quality, Contractual Sorting and Wage Cyclicality," Working Papers 2017-076, Human Capital and Economic Opportunity Working Group.
    14. Jacob Wong, 2017. "Aggregate Reallocation Shocks, Occupational Employment and Distance," School of Economics Working Papers 2017-09, University of Adelaide, School of Economics.
    15. Galindo da Fonseca, João Alfredo & Gallipoli, Giovanni & Yedid-Levi, Yaniv, 2020. "Match quality and contractual sorting," Labour Economics, Elsevier, vol. 66(C).
    16. Goos, Maarten & Rademakers, Emilie & Salomons, Anna & Willekens, Bert, 2019. "Markets for jobs and their task overlap," Labour Economics, Elsevier, vol. 61(C).
    17. Brussevich, Masha, 2018. "Does trade liberalization narrow the gender wage gap? The role of sectoral mobility," European Economic Review, Elsevier, vol. 109(C), pages 305-333.

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    More about this item

    Keywords

    Occupational Mobility; Tasks; Worker Flows; Mobility Costs; Gravity Model;
    All these keywords.

    JEL classification:

    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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