Arbeitspapier

Who lost the most? Distributive effects of COVID-19 pandemic

This paper investigates what happened to the wage distribution in Italy during the first wave of the COVID-19 pandemic. It shows which categories of workers and economic sectors have suffered more than others and to what extent both the actual level of smart-working and the ability to Working From-Home can influence the wage distribution. We use a unique dataset relying on the merging of two sample surveys: the Italian Labor Force Survey set up by National Institute of Statistics and the Italian Survey of Professions conducted by the National Institute for Public Policy Analysis. We estimate quantile regression models accounting for selection. First, the findings reveal that the pandemic has affected the wages of the whole workers, but the effect is higher at the bottom of the wage distribution. Second, the actual working from home mitigates the negative distributional consequences of the COVID-19 observed for those at the bottom of the wage distribution. However, the advantage of workers at the bottom tail of the wage distribution seems to lessen in the long term once the health emergency is passed. Third, looking at sectoral heterogeneity, retail and the restaurant are the most hit sectors in terms of wage loss. Fourth, separating by gender, men have been mostly hit by the pandemic, particularly at lowest deciles, though they benefited more from working at home at higher deciles. Finally, women appear as the one that in the long run would benefit more from increasing working from home possibility.

Sprache
Englisch

Erschienen in
Series: GLO Discussion Paper ; No. 829

Klassifikation
Wirtschaft
Thema
Wage inequality
COVID-19
Working from home
Quantile regression

Ereignis
Geistige Schöpfung
(wer)
Ainaa, Carmen
Brunetti, Irene
Mussida, Chiara
Scicchitano, Sergio
Ereignis
Veröffentlichung
(wer)
Global Labor Organization (GLO)
(wo)
Essen
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Ainaa, Carmen
  • Brunetti, Irene
  • Mussida, Chiara
  • Scicchitano, Sergio
  • Global Labor Organization (GLO)

Entstanden

  • 2021

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