Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/mod/cappmo/0180.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://155.185.68.2/CappPaper/Capp_p180.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Béland, Louis-Philippe & Brodeur, Abel & Wright, Taylor, 2020. "The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response," IZA Discussion Papers 13159, Institute of Labor Economics (IZA).
    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. 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.
    5. 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.
    6. 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.
    7. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    8. 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.
    9. 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.
    10. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carmen Aina & Irene Brunetti & Chiara Mussida & Sergio Scicchitano, 2023. "Distributional effects of COVID-19," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 221-256, March.
    2. Adermon, Adrian & Laun, Lisa & Lind, Patrik & Olsson, Martin & Sauermann, Jan & Sjögren , Anna, 2022. "Earnings losses and the role of the welfare state during the COVID-19 pandemic: evidence from Sweden," Working Paper Series 2022:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. Dorn, Florian & Lange, Berit & Braml, Martin & Gstrein, David & Nyirenda, John L.Z. & Vanella, Patrizio & Winter, Joachim & Fuest, Clemens & Krause, Gérard, 2023. "The challenge of estimating the direct and indirect effects of COVID-19 interventions – Toward an integrated economic and epidemiological approach," Economics & Human Biology, Elsevier, vol. 49(C).
    4. Narayan,Ambar & Cojocaru,Alexandru & Agrawal,Sarthak & Bundervoet,Tom & Davalos,Maria Eugenia & Garcia,Natalia & Lakner,Christoph & Mahler,Daniel Gerszon & Montalva Talledo,Veronica Sonia & Ten,Andrey, 2022. "COVID-19 and Economic Inequality : Short-Term Impacts with Long-Term Consequences," Policy Research Working Paper Series 9902, The World Bank.
    5. Astarita, Caterina & Alcidi, Cinzia, 2022. "Did the COVID-19 pandemic impact income distribution?," MPRA Paper 113851, University Library of Munich, Germany.
    6. 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.
    7. Stefanie Stantcheva, 2022. "Inequalities in the times of a pandemic," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 5-41.
    8. Sarah Kuypers & Ive Marx & Brian Nolan & Juan C. Palomino, 2022. "Lockdown, Earnings Losses and Household Asset Buffers in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(2), pages 428-470, June.
    9. 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.
    10. 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.
    11. Verónica Amarante & Federico Scalese, 2022. "Tax-benefit responses in Uruguay during the COVID-19 pandemic," WIDER Working Paper Series wp-2022-161, World Institute for Development Economic Research (UNU-WIDER).
    12. Oikonomou, Myrto & Pierri, Nicola & Timmer, Yannick, 2023. "IT shields: Technology adoption and economic resilience during the COVID-19 pandemic," Labour Economics, Elsevier, vol. 81(C).
    13. Zimpelmann, Christian & Gaudecker, Hans-Martin von & Holler, Radost & Janys, Lena & Siflinger, Bettina, 2021. "Hours and income dynamics during the Covid-19 pandemic: The case of the Netherlands," Labour Economics, Elsevier, vol. 73(C).
    14. Ainaa, Carmen & Brunetti, Irene & Mussida, Chiara & Scicchitano, Sergio, 2021. "Who lost the most? Distributive effects of COVID-19 pandemic," GLO Discussion Paper Series 829, Global Labor Organization (GLO).
    15. Caselli, Mauro & Fracasso, Andrea, 2021. "Covid-19 and Technology," GLO Discussion Paper Series 1001, Global Labor Organization (GLO).
    16. Guido Matias Cortes & Eliza C. Forsythe, 2020. "Impacts of the Covid-19 Pandemic and the CARES Act on Earnings and Inequality," Upjohn Working Papers 20-332, W.E. Upjohn Institute for Employment Research.
    17. Egana-delSol, Pablo & Micco, Alejandro, 2024. "The Role of Technological Change in the Evolution of the Employment to Output Elasticity," IZA Discussion Papers 17003, Institute of Labor Economics (IZA).
    18. Nikolay Angelov & Daniel Waldenström, 2021. "Covid-19 and Income Inequality: Evidence from Monthly Population Registers," CESifo Working Paper Series 9178, CESifo.
    19. Michael Christl & Silvia De Poli & Dénes Kucsera & Hanno Lorenz, 2022. "COVID-19 and (gender) inequality in income: the impact of discretionary policy measures in Austria," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-17, December.
    20. Isaure Delaporte & Julia Escobar & Werner Peña, 2021. "The distributional consequences of social distancing on poverty and labour income inequality in Latin America and the Caribbean," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1385-1443, October.

    More about this item

    Keywords

    Covid-19; earnings distribution; inequality; income support measures; task routinization; teleworkability; Italy; nowcasting.;
    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mod:cappmo:0180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sara Colombini (email available below). General contact details of provider: https://edirc.repec.org/data/demodit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.