Literature DB >> 32952308

Working from home and income inequality: risks of a 'new normal' with COVID-19.

Luca Bonacini1, Giovanni Gallo1,2, Sergio Scicchitano2,3.   

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. © Springer-Verlag GmbH Germany, part of Springer Nature 2020.

Entities:  

Keywords:  COVID-19; Inequality; Unconditional quantile regressions; Working from home

Year:  2020        PMID: 32952308      PMCID: PMC7486597          DOI: 10.1007/s00148-020-00800-7

Source DB:  PubMed          Journal:  J Popul Econ        ISSN: 0933-1433


  12 in total

1.  Identifying policy challenges of COVID-19 in hardly reliable data and judging the success of lockdown measures.

Authors:  Luca Bonacini; Giovanni Gallo; Fabrizio Patriarca
Journal:  J Popul Econ       Date:  2020-08-26

2.  COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies.

Authors:  Fabio Milani
Journal:  J Popul Econ       Date:  2020-08-19

3.  First-wave COVID-19 transmissibility and severity in China outside Hubei after control measures, and second-wave scenario planning: a modelling impact assessment.

Authors:  Kathy Leung; Joseph T Wu; Di Liu; Gabriel M Leung
Journal:  Lancet       Date:  2020-04-08       Impact factor: 79.321

4.  Business disruptions from social distancing.

Authors:  Miklós Koren; Rita Pető
Journal:  PLoS One       Date:  2020-09-18       Impact factor: 3.240

5.  COVID-19, lockdowns and well-being: Evidence from Google Trends.

Authors:  Abel Brodeur; Andrew E Clark; Sarah Fleche; Nattavudh Powdthavee
Journal:  J Public Econ       Date:  2020-11-30

6.  The COVID-19 crisis and telework: a research survey on experiences, expectations and hopes.

Authors:  Eline Moens; Louis Lippens; Philippe Sterkens; Johannes Weytjens; Stijn Baert
Journal:  Eur J Health Econ       Date:  2021-11-11

7.  The Privilege of Working From Home at the Time of Social Distancing.

Authors:  Armanda Cetrulo; Dario Guarascio; Maria Enrica Virgillito
Journal:  Inter Econ       Date:  2020-06-07

8.  Which workers bear the burden of social distancing?

Authors:  Simon Mongey; Laura Pilossoph; Alexander Weinberg
Journal:  J Econ Inequal       Date:  2021-08-02

9.  Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China.

Authors:  Yun Qiu; Xi Chen; Wei Shi
Journal:  J Popul Econ       Date:  2020-05-09
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  34 in total

1.  Remote working and digital transformation during the COVID-19 pandemic: Economic-financial impacts and psychological drivers for employees.

Authors:  Enrico Battisti; Simona Alfiero; Erasmia Leonidou
Journal:  J Bus Res       Date:  2022-06-10

2.  Do open data impact citizens' behavior? Assessing face mask panic buying behaviors during the Covid-19 pandemic.

Authors:  Yuya Shibuya; Chun-Ming Lai; Andrea Hamm; Soichiro Takagi; Yoshihide Sekimoto
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

3.  Identifying policy challenges of COVID-19 in hardly reliable data and judging the success of lockdown measures.

Authors:  Luca Bonacini; Giovanni Gallo; Fabrizio Patriarca
Journal:  J Popul Econ       Date:  2020-08-26

4.  Culture and mental health resilience in times of COVID-19.

Authors:  Annie Tubadji
Journal:  J Popul Econ       Date:  2021-05-19

5.  True COVID-19 mortality rates from administrative data.

Authors:  Domenico Depalo
Journal:  J Popul Econ       Date:  2020-09-29

6.  COVID-19 and Regional Income Inequality in China.

Authors:  Jianfu Shen; Wai Yan Shum; Tsun Se Cheong; Lafang Wang
Journal:  Front Public Health       Date:  2021-05-11

7.  School closures and mental health during the COVID-19 pandemic in Japan.

Authors:  Eiji Yamamura; Yoshiro Tsustsui
Journal:  J Popul Econ       Date:  2021-06-08

8.  The impact of COVID-19 pandemic on gender-related work from home in STEM fields-Report of the WiMPBME Task Group.

Authors:  Monique Frize; Lenka Lhotska; Loredana G Marcu; Magdalena Stoeva; Gilda Barabino; Fatimah Ibrahim; Sierin Lim; Eleni Kaldoudi; Ana Maria Marques da Silva; Peck Ha Tan; Virginia Tsapaki; Eva Bezak
Journal:  Gend Work Organ       Date:  2021-04-28

9.  The distributional consequences of social distancing on poverty and labour income inequality in Latin America and the Caribbean.

Authors:  Isaure Delaporte; Julia Escobar; Werner Peña
Journal:  J Popul Econ       Date:  2021-07-28

10.  Spatial association of mobility and COVID-19 infection rate in the USA: A county-level study using mobile phone location data.

Authors:  Ahmad Ilderim Tokey
Journal:  J Transp Health       Date:  2021-07-13
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