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The Costs of Occupational Mobility: An Aggregate Analysis

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  • Guido Matias Cortes

    (University of Manchester and RCEA)

  • Giovanni Gallipoli

    (University of British Columbia)

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 nd 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, speci c to each destination occupation.

Suggested Citation

  • 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.
  • Handle: RePEc:hka:wpaper:2014-015
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    References listed on IDEAS

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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. 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.
    3. 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.
    4. Xiaodong Zhu & Trevor Tombe, 2015. "Trade, Migration and Regional Income Differences: Evidence from China," 2015 Meeting Papers 1534, Society for Economic Dynamics.
    5. 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.
    6. 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.
    7. Trevor Tombe & Xiaodong Zhu, 2019. "Trade, Migration, and Productivity: A Quantitative Analysis of China," American Economic Review, American Economic Association, vol. 109(5), pages 1843-1872, May.
    8. 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.
    9. 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).
    10. Jacob Wong, 2017. "Aggregate Reallocation Shocks, Occupational Employment and Distance," School of Economics Working Papers 2017-09, University of Adelaide, School of Economics.
    11. 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.
    12. Galindo da Fonseca, João Alfredo & Gallipoli, Giovanni & Yedid-Levi, Yaniv, 2020. "Match quality and contractual sorting," Labour Economics, Elsevier, vol. 66(C).
    13. 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.
    14. 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.
    15. Goos, Maarten & Rademakers, Emilie & Salomons, Anna & Willekens, Bert, 2019. "Markets for jobs and their task overlap," Labour Economics, Elsevier, vol. 61(C).
    16. 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.
    17. 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.
    18. Bauer, Anja, 2015. "Reallocation patterns across occupations," IAB Discussion Paper 201526, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    19. 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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