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Heterogeneous effects of the Covid-19 crisis on Italian workers’ incomes: the role played by jobs routinization and teleworkability

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  • Giovanni Gallo

  • Silvia Granato
  • michele Raitano

Abstract

The Covid-19 pandemic appears to have engendered heterogeneous effects on individuals’ labour market prospects. This paper focuses on two possible sources of a heterogeneous exposition to labour market risks associated with the pandemic outbreak: the routine task content of the job and the teleworkability. To evaluate whether these dimensions played a crucial role in amplifying employment and wage gaps among workers, we focus on the case of Italy, the first EU country hit by the Covid-19 first wave. We use a static microsimulation model based on data from the Statistics on Income and Living Condition survey (IT-SILC) enriched with administrative data and aligned to monthly observed labour market dynamics by industry and regions. We simulate changes in the wage distribution in 2020 and investigate whether income drops risks – before and after income support measures to capture the effect of public redistribution – differed among workers whose jobs are characterised by a different degree of routinization (as proxied by the routine task intensity - RTI index) and teleworkability (as proxied by the TWA index). We find that RTI and TWA are negatively and positively associated with wages, respectively, and they are correlated with higher (respectively lower) risks of a large labour income drop due to the pandemic. However, differences in income drop risks for workers who differ by RTI and TWA largely reduce when income support measures are considered.

Suggested Citation

  • Giovanni Gallo & Silvia Granato & michele Raitano, 2022. "Heterogeneous effects of the Covid-19 crisis on Italian workers’ incomes: the role played by jobs routinization and teleworkability," Center for the Analysis of Public Policies (CAPP) 0180, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
  • Handle: RePEc:mod:cappmo:0180
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    1. Andrew E. Clark & Conchita D’Ambrosio & Anthony Lepinteur, 2021. "The fall in income inequality during COVID-19 in four European countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 489-507, September.
    2. Louis-Philippe Beland & Abel Brodeur & Taylor Wright, 2023. "The short-term economic consequences of COVID-19: Exposure to disease, remote work and government response," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-32, March.
    3. Mike Brewer & Iva Valentinova Tasseva, 2021. "Did the UK policy response to Covid-19 protect household incomes?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 433-458, September.
    4. Boca Daniela del & Oggero Noemi & Profeta Paola & Rossi Maria Cristina, 2022. "The impact of COVID-19 on the gender division of housework and childcare: Evidence from two waves of the pandemic in Italy," IZA Journal of Labor Economics, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-20, January.
    5. Andrew E. Clark & Conchita D'Ambrosio & Anthony Lepinteur, 2020. "The Fall in Income Inequality during COVID-19 in Five European Countries," Working Papers 565, ECINEQ, Society for the Study of Economic Inequality.
    6. 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.
    7. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    8. Francesca Carta & Marta De Philippis, 2021. "The impact of the COVID-19 shock on labour income inequality: evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 606, Bank of Italy, Economic Research and International Relations Area.
    9. Crossley, Thomas F. & Fisher, Paul & Low, Hamish, 2021. "The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data," Journal of Public Economics, Elsevier, vol. 193(C).
    10. Vanda Almeida & Salvador Barrios & Michael Christl & Silvia Poli & Alberto Tumino & Wouter Wielen, 2021. "The impact of COVID-19 on households´ income in the EU," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 413-431, September.
    11. 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.
    12. 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.
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    Keywords

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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