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The (little) reallocation potential of workers most hit by the COVID-19 crisis

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  • Gaetano Basso
  • Adele Grompone
  • Francesca Modena

Abstract

Hospitality and entertainment are the sectors worst hit by the economic crisis that followed the COVID-19 pandemic. The possibility for the workers operating therein to find new jobs might be limited as they usually perform basic tasks and have low skill levels. We study the employment transitions of these workers before the COVID-19 crisis in Italy and find that, in the medium run, workers employed in hospitality were as likely to be employed as those in other non-financial private services were. Entertainment sector employees instead had a higher probability of being non-employed compared with other non-financial private services; if they found a job, these workers moved more frequently to other sectors. To get insights into the potential for reallocation during the pandemic and post-pandemic periods, we perform a simple counterfactual exercise based on the similarity in skill demand: the evidence indicates there is little reallocation potential for these hard-hit workers, especially if service demand remains depressed for a long time.

Suggested Citation

  • Gaetano Basso & Adele Grompone & Francesca Modena, 2021. "The (little) reallocation potential of workers most hit by the COVID-19 crisis," Politica economica, Società editrice il Mulino, issue 2, pages 151-186.
  • Handle: RePEc:mul:je8794:doi:10.1429/102267:y:2021:i:2:p:151-186
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    1. Teresa Barbieri & Gaetano Basso & Sergio Scicchitano, 2022. "Italian Workers at Risk During the COVID-19 Epidemic," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 175-195, March.
    2. Christina Gathmann & Uta Schönberg, 2010. "How General Is Human Capital? A Task-Based Approach," Journal of Labor Economics, University of Chicago Press, vol. 28(1), pages 1-49, January.
    3. Robert Gibbons & Michael Waldman, 2004. "Task-Specific Human Capital," American Economic Review, American Economic Association, vol. 94(2), pages 203-207, May.
    4. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
    5. Del Bono, Emilia & Vuri, Daniela, 2011. "Job mobility and the gender wage gap in Italy," Labour Economics, Elsevier, vol. 18(1), pages 130-142, January.
    6. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 0. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
    7. Luigi Cannari & Francesco Nucci & Paolo Sestito, 2000. "Geographic labour mobility and the cost of housing: evidence from Italy," Applied Economics, Taylor & Francis Journals, vol. 32(14), pages 1899-1906.
    8. 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.
    9. Alfonso Rosolia & Roberto Torrini, 2016. "The generation gap: a cohort analysis of earnings levels, dispersion and initial labor market conditions in Italy, 1974-2014," Questioni di Economia e Finanza (Occasional Papers) 366, Bank of Italy, Economic Research and International Relations Area.
    10. Clémence Berson & Marta de Philippis & Eliana Viviano, 2020. "Job-to-Job Flows and Wage Dynamics in France and Italy," Working papers 756, Banque de France.
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    Cited by:

    1. Luca Citino & Edoardo Di Porto & Andrea Linarello & Francesca Lotti & Enrico Sette, 2023. "Creation, destruction and reallocation of jobs in italian firms: an analysis based on administrative data," Questioni di Economia e Finanza (Occasional Papers) 751, Bank of Italy, Economic Research and International Relations Area.
    2. Antonio Accetturo & Francesca Modena & Giacomo Ziglio, 2023. "Subsidies for permanent employment in the time of Covid-19," Questioni di Economia e Finanza (Occasional Papers) 808, Bank of Italy, Economic Research and International Relations Area.
    3. Basso, Gaetano & Depalo, Domenico & Lattanzio, Salvatore, 2023. "Worker flows and reallocation during the recovery," Labour Economics, Elsevier, vol. 83(C).

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    More about this item

    Keywords

    COVID-19; employment transitions; Italy; tourism;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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