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All that glitters is not gold. Effects of working from home on income inequality at the time of COVID-19

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  • Bonacini, Luca
  • Gallo, Giovanni
  • Scicchitano, Sergio

Abstract

The recent global COVID-19 pandemic forced most of governments in developed countries to introduce severe measures limiting people mobility freedom in order to contain the infection spread. Consequently, working from home (WFH) procedures became of great importance for a large part of employees, since they represent the only option to both continue working and keep staying home. Based on influence function regression methods, our paper explores the role of WFH attitude across labour income distribution in Italy. Results show that increasing WFH attitudes of occupations would lead to a rise of wage inequality among Italian employees. Specifically, a change from low to high WFH attitude would determine a 10% wage premium on average and even higher premiums (+17%) in top deciles of wage distribution. A possible improvement of occupations WFH attitude tends to benefit male, older and high-paid employees, as well as those living in provinces more affected by the novel coronavirus.

Suggested Citation

  • Bonacini, Luca & Gallo, Giovanni & Scicchitano, Sergio, 2020. "All that glitters is not gold. Effects of working from home on income inequality at the time of COVID-19," GLO Discussion Paper Series 541, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:541
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    1. Picchio, Matteo & Mussida, Chiara, 2011. "Gender wage gap: A semi-parametric approach with sample selection correction," Labour Economics, Elsevier, vol. 18(5), pages 564-578, October.
    2. Bonacini, Luca & Gallo, Giovanni & Patriarca, Fabrizio, 2020. "Drawing policy suggestions to fight Covid-19 from hardly reliable data. A machine-learning contribution on lockdowns analysis," GLO Discussion Paper Series 534, Global Labor Organization (GLO).
    3. Teresa Barbieri & Gaetano Basso & Sergio Scicchitano, 2020. "Italian workers at risk during the COVID-19 epidemic," Questioni di Economia e Finanza (Occasional Papers) 569, Bank of Italy, Economic Research and International Relations Area.
    4. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    5. Nicholas Bloom & James Liang & John Roberts & Zhichun Jenny Ying, 2015. "Does Working from Home Work? Evidence from a Chinese Experiment," The Quarterly Journal of Economics, Oxford University Press, vol. 130(1), pages 165-218.
    6. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    7. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    8. Matteo Lucchese & Mario Pianta, 2020. "The Coming Coronavirus Crisis: What Can We Learn?," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(2), pages 98-104, March.
    9. Baert, Stijn & Lippens, Louis & Moens, Eline & Sterkens, Philippe & Weytjens, Johannes, 2020. "How do we think the COVID-19 crisis will affect our careers (if any remain)?," GLO Discussion Paper Series 520, Global Labor Organization (GLO).
    10. Hensvik, Lena & Le Barbanchon, Thomas & Rathelot, Roland, 2020. "Which jobs are done from home? Evidence from the American Time Use Survey?," The Warwick Economics Research Paper Series (TWERPS) 1261, University of Warwick, Department of Economics.
    11. Yasenov, Vasil, 2020. "Who Can Work from Home?," IZA Discussion Papers 13197, Institute of Labor Economics (IZA).
    12. Stijn Baert & Louis Lippens & Eline Moens & Philippe Sterkens & Johannes Weytjens, 2020. "The COVID-19 crisis and telework: A research survey on experiences, expectations and hopes," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/996, Ghent University, Faculty of Economics and Business Administration.
    13. Titan Alon & Matthias Doepke & Jane Olmstead-Rumsey & Michèle Tertilt, 2020. "The Impact of COVID-19 on Gender Equality," CRC TR 224 Discussion Paper Series crctr224_2020_163, University of Bonn and University of Mannheim, Germany.
    14. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    15. Valentina Meliciani & Debora Radicchia, 2011. "The informal recruitment channel and the quality of job-worker matches: an analysis on Italian survey data," Industrial and Corporate Change, Oxford University Press, vol. 20(2), pages 511-554, April.
    16. repec:fip:l00001:87739 is not listed on IDEAS
    17. Charles Gottlieb & Jan Grobovsek & Markus Poschke, 2020. "Working from Home across Countries," Cahiers de recherche 07-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    18. Miklós Koren & Rita Pető, 2020. "Business disruptions from social distancing," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    19. Alan S. Blinder & Alan B. Krueger, 2013. "Alternative Measures of Offshorability: A Survey Approach," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 97-128.
    20. Iammarino, Simona & Guy, Frederick & Filippetti, Andrea, 2019. "Regional disparities in the effect of training on employment," LSE Research Online Documents on Economics 87466, London School of Economics and Political Science, LSE Library.
    21. Valentina Meliciani & Debora Radicchia, 2016. "Informal networks, spatial mobility and overeducation in the Italian labour market," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 513-535, March.
    22. Chung Choe & Philippe Van Kerm, 2018. "Foreign Workers and the Wage Distribution: What Does the Influence Function Reveal?," Econometrics, MDPI, Open Access Journal, vol. 6(3), pages 1-26, September.
    23. Yasenov, Vasil, 2020. "Who Can Work from Home?," OSF Preprints 89k47, Center for Open Science.
    24. Simon Mongey & Laura Pilossoph & Alex Weinberg, 2020. "Which Workers Bear the Burden of Social Distancing?," NBER Working Papers 27085, National Bureau of Economic Research, Inc.
    25. Leone Leonida & Marianna Marra & Sergio Scicchitano & Antonio Giangreco & Marco Biagetti, 2020. "Estimating the Wage Premium to Supervision for Middle Managers in Different Contexts: Evidence from Germany and the UK," Work, Employment & Society, British Sociological Association, vol. 34(6), pages 1004-1026, December.
    26. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
    27. Fabio Clementi & Michele Giammatteo, 2014. "The labour market and the distribution of earnings: an empirical analysis for Italy," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(2), pages 154-180, March.
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    Cited by:

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    2. Garrote Sanchez,Daniel & Gomez Parra,Nicolas & Ozden,Caglar & Rijkers,Bob & Viollaz,Mariana & Winkler,Hernan Jorge, 2020. "Who on Earth Can Work from Home ?," Policy Research Working Paper Series 9347, The World Bank.
    3. Ferdinando Toscano & Salvatore Zappalà, 2020. "Social Isolation and Stress as Predictors of Productivity Perception and Remote Work Satisfaction during the COVID-19 Pandemic: The Role of Concern about the Virus in a Moderated Double Mediation," Sustainability, MDPI, Open Access Journal, vol. 12(23), pages 1-14, November.

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    More about this item

    Keywords

    COVID-19; working from home; inequality; unconditional quantile regressions;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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