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Wage inequality and poverty effects of lockdown and social distancing in Europe

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

Abstract

Social distancing and lockdown measures taken to contain the spread of COVID-19 may have distributional economic costs beyond the contraction of GDP. Here we evaluate the capacity of individuals to work under a lockdown based on a Lockdown Working Ability index which considers their teleworking capacity and whether their occupation is essential or closed. Our analysis reveals substantial and uneven potential wage losses across the distribution all around Europe and we consistently find that both poverty and wage inequality rise in all European countries. Under four different scenarios (2 months of lockdown and 2 months of lockdown plus 6 months of partial functioning of closed occupations at 80%, 70% and 60% of full capacity) we estimate for 29 European countries an average increase in the headcount poverty index that goes from 4.9 to 9.4 percentage points and a mean loss rate for poor workers between 10% and 16.2%. The average increase in the Gini coefficient ranges between 3.5% to 7.3% depending on the scenario considered. Decomposing overall wage inequality in Europe, we find that lockdown and social distance measures produce a double process of divergence: both inequality within and between countries increase.

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  • Palomino, Juan C. & Rodríguez, Juan G. & Sebastian, Raquel, 2020. "Wage inequality and poverty effects of lockdown and social distancing in Europe," European Economic Review, Elsevier, vol. 129(C).
    • Handle: RePEc:eee:eecrev:v:129:y:2020:i:c:s001429212030194x
    DOI: 10.1016/j.euroecorev.2020.103564
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    1. Ravallion, Martin, 2019. "Global inequality when unequal countries create unequal people," European Economic Review, Elsevier, vol. 111(C), pages 85-97.
    2. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    3. Irlacher Michael & Koch Michael, 2021. "Working from Home, Wages, and Regional Inequality in the Light of COVID-19," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(3), pages 373-404, June.
    4. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 0. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
    5. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    6. Bourguignon, Francois, 1979. "Decomposable Income Inequality Measures," Econometrica, Econometric Society, vol. 47(4), pages 901-920, July.
    7. Nanak Kakwani & Hyun H. Son, 2008. "Poverty Equivalent Growth Rate," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(4), pages 643-655, December.
    8. Eichhorn, Wolfgang & Funke, Helmut & Richter, Wolfram F., 1984. "Tax progression and inequality of income distribution," Journal of Mathematical Economics, Elsevier, vol. 13(2), pages 127-131, October.
    9. Miklós Koren & Rita Pető, 2020. "Business disruptions from social distancing," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    10. B. Essama‐Nssah & Peter J. Lambert, 2009. "Measuring Pro‐Poorness: A Unifying Approach With New Results," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 752-778, September.
    11. Foster, James E. & Shneyerov, Artyom A., 2000. "Path Independent Inequality Measures," Journal of Economic Theory, Elsevier, vol. 91(2), pages 199-222, April.
    12. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    13. 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.
    14. Pernia, Ernesto & Kakwani, Nanak, 2000. "What is Pro-poor Growth?," MPRA Paper 104987, University Library of Munich, Germany.
    15. Rodri­guez, Juan Prieto & Rodri­guez, Juan Gabriel & Salas, Rafael, 2008. "A study on the relationship between economic inequality and mobility," Economics Letters, Elsevier, vol. 99(1), pages 111-114, April.
    16. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    17. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
    18. Paolo Brunori & Maria Luisa Maitino & Letizia Ravagli & Nicola Sciclone, 2020. "Distant and Unequal. Lockdown and Inequalities in Italy," Working Papers - Economics wp2020_13.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
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    More about this item

    Keywords

    Wage inequality; Poverty; Teleworking; Social distancing; Europe;
    All these keywords.

    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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