Literature DB >> 34366750

Which workers bear the burden of social distancing?

Simon Mongey1,2, Laura Pilossoph3, Alexander Weinberg1.   

Abstract

Using data from O∗NET, we construct two measures of an occupation's potential exposure to social distancing measures: (i) the ability to conduct that job from home and (ii) the degree of physical proximity to others the job requires. After validating these measures with comparable measures from ATUS as well as realized work-from-home rates during the pandemic, we employ the measures to study the characteristics of workers in these types of jobs. Our results show that workers in low-work-from-home and high-physical-proximity jobs are more economically vulnerable across various measures constructed from the CPS and PSID: they are less educated, of lower income, have fewer liquid assets relative to income, and are more likely renters. Consistent with the idea that high physical proximity or low work-from-home occupations were more exposed to the Coronavirus shock, we show that the types of workers predicted to be employed in them experienced greater declines in employment during the pandemic. We conclude by comparing the aggregate employment losses in these occupations to their employment losses in the 2008 recession, and find evidence that these occupations were disproportionately exposed to the pandemic shock, and not just comprised of more cyclically sensitive workers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10888-021-09487-6. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021.

Entities:  

Keywords:  Coronavirus; Demographics; Employment; Inequality; Occupations; Social policy

Year:  2021        PMID: 34366750      PMCID: PMC8328128          DOI: 10.1007/s10888-021-09487-6

Source DB:  PubMed          Journal:  J Econ Inequal        ISSN: 1569-1721


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  43 in total

1.  The heterogeneous effects of COVID-19 on labor markets: People's movement and non-pharmaceutical interventions.

Authors:  Kisho Hoshi; Hiroyuki Kasahara; Ryo Makioka; Michio Suzuki; Satoshi Tanaka
Journal:  J Jpn Int Econ       Date:  2021-10-20

2.  Green Stimulus in a Post-pandemic Recovery: the Role of Skills for a Resilient Recovery.

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Journal:  Environ Resour Econ (Dordr)       Date:  2020-08-04

3.  When intelligence hurts and ignorance is bliss: Global pandemic as an evolutionarily novel threat to happiness.

Authors:  Satoshi Kanazawa; Norman P Li; Jose C Yong
Journal:  J Pers       Date:  2022-02-25

4.  COVID-19: A Make or Break Moment for Global Policy Making.

Authors:  Pietro Maffettone; Chiara Oldani
Journal:  Glob Policy       Date:  2020-08-18

5.  Intra-household exposure to labor market risk in the time of Covid-19: lessons from Mexico.

Authors:  Cecilia Peluffo; Mariana Viollaz
Journal:  Rev Econ Househ       Date:  2021-01-29

6.  Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic.

Authors:  Nicholas W Papageorge; Matthew V Zahn; Michèle Belot; Eline van den Broek-Altenburg; Syngjoo Choi; Julian C Jamison; Egon Tripodi
Journal:  J Popul Econ       Date:  2021-01-14

7.  Pandemics, Mitigation Measures, and Environment.

Authors:  Kangoh Lee
Journal:  Environ Resour Econ (Dordr)       Date:  2021-01-23

8.  Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe.

Authors:  Mounir Amdaoud; Giuseppe Arcuri; Nadine Levratto
Journal:  Eur J Health Econ       Date:  2021-03-22

9.  The impact of COVID-19 on households´ income in the EU.

Authors:  Vanda Almeida; Salvador Barrios; Michael Christl; Silvia De Poli; Alberto Tumino; Wouter van der Wielen
Journal:  J Econ Inequal       Date:  2021-06-01

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

Authors:  Luca Bonacini; Giovanni Gallo; Sergio Scicchitano
Journal:  J Popul Econ       Date:  2020-09-12
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