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The COVID-19 shock on the labour market: poverty and inequality effects across Spanish regions

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  • Juan C. Palomino
  • Juan G. Rodríguez
  • Raquel Sebastian

Abstract

The necessary social distancing to limit the spread of COVID-19 during the recent pandemic implies that regions with higher essentiality and teleworking levels have lower vulnerability to poverty and inequality, the opposite occurring in regions intensive in closed activities. Using the latest 2020 European Union Statistics on Income and Living Conditions, we estimate that in the absence of compensating measures, this shock can result in sizable but unequal increases in poverty (between 8.3 and 20.7 percentage points (p.p.)) and wage inequality (between 2.6 and 6.0 Gini points) across Spanish regions. Moreover, inequality between regions can rise, which would erode regional cohesion in Spain.

Suggested Citation

  • Juan C. Palomino & Juan G. Rodríguez & Raquel Sebastian, 2023. "The COVID-19 shock on the labour market: poverty and inequality effects across Spanish regions," Regional Studies, Taylor & Francis Journals, vol. 57(5), pages 814-828, May.
    • Handle: RePEc:taf:regstd:v:57:y:2023:i:5:p:814-828
    DOI: 10.1080/00343404.2022.2110227
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    References listed on IDEAS

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    1. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    2. Isabel Palomares-Linares & Maarten van Ham, 2020. "Understanding the effects of homeownership and regional unemployment levels on internal migration during the economic crisis in Spain," Regional Studies, Taylor & Francis Journals, vol. 54(4), pages 515-526, April.
    3. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    4. Foster, James E. & Shneyerov, Artyom A., 2000. "Path Independent Inequality Measures," Journal of Economic Theory, Elsevier, vol. 91(2), pages 199-222, April.
    5. Simon Mongey & Laura Pilossoph & Alexander Weinberg, 2021. "Which workers bear the burden of social distancing?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 509-526, September.
    6. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
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    Cited by:

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    More about this item

    JEL classification:

    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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