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SOS incomes: Simulated effects of COVID-19 and emergency benefits on individual and household income distribution in Italy

Author

Listed:
  • Giovanni Gallo

    (Sapienza University of Rome)

  • Michele Raitano

    (Sapienza University of Rome)

Abstract

Using a static microsimulation model based on a link between survey and administrative data, the article investigates the effects of the pandemic on income distribution in Italy. The analysis focuses both on individuals and on households, by simulating changes in labour incomes and in equivalised incomes, respectively. For both units of observations, changes before and after the emergency income benefits introduced by the Government to deal with the effects of the COVID-19 emergency are compared. The effects of the pandemic are simulated for the whole 2020 under three different scenarios capturing an increasing length of the pandemic. We find that the pandemic has led to a relatively greater drop in labour incomes for those lying in the poorest quantiles, but they were the same having benefited more from the emergency benefits. As a result, compared with the ‘No-COVID scenario’, income poverty and inequality indexes significantly grow in all scenarios when emergency benefits are not considered, whereas the poverty increase greatly narrows and inequality levels slightly decrease once benefits are considered. This evidence signals the crucial role played by cash social transfers to contrast the most serious economic consequences of the pandemic.

Suggested Citation

  • Giovanni Gallo & Michele Raitano, 2020. "SOS incomes: Simulated effects of COVID-19 and emergency benefits on individual and household income distribution in Italy," Working Papers 566, ECINEQ, Society for the Study of Economic Inequality.
    • Handle: RePEc:inq:inqwps:ecineq2020-566
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    File URL: http://www.ecineq.org/milano/WP/ECINEQ2020-566.pdf
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    References listed on IDEAS

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    Cited by:

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    2. Giorgio Di Pietro, 2022. "Changes in household income during COVID-19: a longitudinal analysis," SN Business & Economics, Springer, vol. 2(10), pages 1-20, October.
    3. Schettino, Francesco & Scicchitano, Sergio & Suppa, Domenico, 2024. "COVID 19 and Wage Polarization: A task based approach," GLO Discussion Paper Series 1398, Global Labor Organization (GLO).
    4. Kosteas, Vasilios D. & Renna, Francesco & Scicchitano, Sergio, 2022. "Covid-19 and Working from Home: toward a "new normal"?," GLO Discussion Paper Series 1013, Global Labor Organization (GLO).
    5. Marco Fattore & Stefania M.L. Rimoldi, 2023. "Effects of the Covid Pandemic on the Economic Vulnerability of Italian Society," Hacienda Pública Española / Review of Public Economics, IEF, vol. 247(4), pages 37-68, December.
    6. 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.
    7. Alfano, Vincenzo & Ercolano, Salvatore & Pinto, Mauro, 2022. "Carrot and stick: Economic support and stringency policies in response to COVID-19," Evaluation and Program Planning, Elsevier, vol. 94(C).

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    More about this item

    Keywords

    income distribution; inequality; poverty; emergency benefits; microsimulations; Italy; Covid-19;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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