In the current context of the COVID-19 pandemic, working from home (WFH) became of great importance for a large share of employees since it represents the only option to both continue working and minimise the risk of virus exposure. Uncertainty about the duration of the pandemic and future contagion waves even led companies to view WFH as a ‘new normal’ way of working. Based on influence function regression methods, this paper explores the potential consequences in the labour income distribution related to a long-lasting increase in WFH feasibility among Italian employees. Results show that a positive shift in WFH feasibility would be associated with an increase in average labour income, but this potential benefit would not be equally distributed among employees. Specifically, an increase in the opportunity to WFH would favour male, older, high-educated, and high-paid employees. However, this ‘forced innovation’ would benefit more employees living in provinces have been more affected by the novel coronavirus. WFH thus risks exacerbating pre-existing inequalities in the labour market, especially if it will not be adequately regulated. As a consequence, this study suggests that policies aimed at alleviating inequality, like income support measures (in the short run) and human capital interventions (in the long run), should play a more important compensating role in the future.

Working from home and income inequality. Risks of a ‘new normal’ with COVID-19 / Bonacini, Luca; Gallo, Giovanni; Scicchitano, Sergio. - In: JOURNAL OF POPULATION ECONOMICS. - ISSN 1432-1475. - 34:1(2021), pp. 303-360. [10.1007/s00148-020-00800-7]

Working from home and income inequality. Risks of a ‘new normal’ with COVID-19

Gallo Giovanni
;
2021

Abstract

In the current context of the COVID-19 pandemic, working from home (WFH) became of great importance for a large share of employees since it represents the only option to both continue working and minimise the risk of virus exposure. Uncertainty about the duration of the pandemic and future contagion waves even led companies to view WFH as a ‘new normal’ way of working. Based on influence function regression methods, this paper explores the potential consequences in the labour income distribution related to a long-lasting increase in WFH feasibility among Italian employees. Results show that a positive shift in WFH feasibility would be associated with an increase in average labour income, but this potential benefit would not be equally distributed among employees. Specifically, an increase in the opportunity to WFH would favour male, older, high-educated, and high-paid employees. However, this ‘forced innovation’ would benefit more employees living in provinces have been more affected by the novel coronavirus. WFH thus risks exacerbating pre-existing inequalities in the labour market, especially if it will not be adequately regulated. As a consequence, this study suggests that policies aimed at alleviating inequality, like income support measures (in the short run) and human capital interventions (in the long run), should play a more important compensating role in the future.
2021
COVID-19; working from home; inequality; unconditional quantile regressions
01 Pubblicazione su rivista::01a Articolo in rivista
Working from home and income inequality. Risks of a ‘new normal’ with COVID-19 / Bonacini, Luca; Gallo, Giovanni; Scicchitano, Sergio. - In: JOURNAL OF POPULATION ECONOMICS. - ISSN 1432-1475. - 34:1(2021), pp. 303-360. [10.1007/s00148-020-00800-7]
File allegati a questo prodotto
File Dimensione Formato  
Gallo_Working_2020.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.45 MB
Formato Adobe PDF
1.45 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1556061
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 227
  • ???jsp.display-item.citation.isi??? 181
social impact