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Covid-19 heterogeneous effects on Italian workers’ incomes: the role of jobs routinization and teleworkability

Author

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  • Giovanni Gallo
  • Silvia Granato
  • Michele Raitano

Abstract

Purpose - 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 Covid-19. Design/methodology/approach - Investigating the actual effect of the pandemic on workers employed in jobs with a different degree of teleworkability and routinization, using real microdata, is currently unfeasible. This is because longitudinal datasets collecting annual earnings and the detailed information about occupations needed to capture a job’s routine task content and teleworkability are not presently available. To simulate changes in the wage distribution for the year 2020, we have employed a static microsimulation model. This model is built on data from the Statistics on Income and Living Conditions (IT-SILC) survey, which has been enriched with administrative data and aligned with monthly observed labour market dynamics by industries and regions. Findings - We measure the degree of job teleworkability and routinization with the teleworkability index (TWA) built by Sosteroet al.(2020) and the routine-task-intensity index (RTI) developed by Cirilloet al. (2021), respectively. 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. Our evidence suggests that labour market risks related to the pandemic – and the associated new types of earnings inequality that may derive – are shaped by various factors (including TWA and RTI) instead of by a single dimension. However, differences in income drop risks for workers in jobs with varying degrees of teleworkability and routinization largely reduce when income support measures are considered, thus suggesting that the redistributive effect of the emergency measures implemented by the Italian government was rather effective. Originality/value - No studies have so far investigated the effect of the pandemic on workers employed in jobs with a different degree of routinization and teleworkability in Italy. We thus investigate whether income drop risks in Italy in 2020 – before and after income support measures – differed among workers whose jobs are characterized by a different degree of RTI and TWA.

Suggested Citation

  • Giovanni Gallo & Silvia Granato & Michele Raitano, 2024. "Covid-19 heterogeneous effects on Italian workers’ incomes: the role of jobs routinization and teleworkability," International Journal of Manpower, Emerald Group Publishing Limited, vol. 45(7), pages 1326-1349, April.
  • Handle: RePEc:eme:ijmpps:ijm-08-2023-0474
    DOI: 10.1108/IJM-08-2023-0474
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    More about this item

    Keywords

    Covid-19; Earnings distribution; Income support measures; Task routinization; Teleworkability; Nowcasting; D31; H24; I38; J31; C15;
    All these keywords.

    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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