How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World?
This paper investigates the impacts of the economic shock caused by the COVID-19 pandemic on the employment of different types of workers in developing countries. Employment outcomes are taken from a set of high-frequency phone surveys conducted by...
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2021
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okr-10986-358232021-06-25T05:10:38Z How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World? Kugler, Maurice Viollaz, Mariana Duque, Daniel Gaddis, Isis Newhouse, David Palacios-Lopez, Amparo Weber, Michael CORONAVIRUS COVID-19 PANDEMIC IMPACT ECONOMIC SHOCK WORKER DISPLACEMENT COPING MECHANISMS LABOR MARKET HOUSEHOLD SURVEY UNEMPLOYMENT This paper investigates the impacts of the economic shock caused by the COVID-19 pandemic on the employment of different types of workers in developing countries. Employment outcomes are taken from a set of high-frequency phone surveys conducted by the World Bank and National Statistics Offices in 40 countries. Larger shares of female, young, less educated, and urban workers stopped working. Gender gaps in work stoppage were particularly pronounced and stemmed mainly from differences within sectors rather than differential employment patterns across sectors. Differences in work stoppage between urban and rural workers were markedly smaller than those across gender, age, and education groups. Preliminary results from 10 countries suggest that following the initial shock at the start of the pandemic, employment rates partially recovered between April and August, with greater gains for those groups that had borne the brunt of the early jobs losses. Although the high-frequency phone surveys greatly over-represent household heads and therefore overestimate employment rates, case studies in five countries suggest that they provide a reasonably accurate measure of disparities in employment levels by gender, education, and urban/rural location following the onset of the crisis, although they perform less well in capturing disparities between age groups. These results shed new light on the labor market consequences of the COVID-19 crisis in developing countries, and suggest that real-time phone surveys, despite their lack of representativeness, are a valuable source of information to measure differential employment impacts across groups during a crisis. 2021-06-24T14:17:39Z 2021-06-24T14:17:39Z 2021-06 Working Paper http://documents.worldbank.org/curated/en/409921624030877958/How-Did-the-COVID-19-Crisis-Affect-Different-Types-of-Workers-in-the-Developing-World http://hdl.handle.net/10986/35823 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper |
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CORONAVIRUS COVID-19 PANDEMIC IMPACT ECONOMIC SHOCK WORKER DISPLACEMENT COPING MECHANISMS LABOR MARKET HOUSEHOLD SURVEY UNEMPLOYMENT |
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CORONAVIRUS COVID-19 PANDEMIC IMPACT ECONOMIC SHOCK WORKER DISPLACEMENT COPING MECHANISMS LABOR MARKET HOUSEHOLD SURVEY UNEMPLOYMENT Kugler, Maurice Viollaz, Mariana Duque, Daniel Gaddis, Isis Newhouse, David Palacios-Lopez, Amparo Weber, Michael How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World? |
description |
This paper investigates the impacts of
the economic shock caused by the COVID-19 pandemic on the
employment of different types of workers in developing
countries. Employment outcomes are taken from a set of
high-frequency phone surveys conducted by the World Bank and
National Statistics Offices in 40 countries. Larger shares
of female, young, less educated, and urban workers stopped
working. Gender gaps in work stoppage were particularly
pronounced and stemmed mainly from differences within
sectors rather than differential employment patterns across
sectors. Differences in work stoppage between urban and
rural workers were markedly smaller than those across
gender, age, and education groups. Preliminary results from
10 countries suggest that following the initial shock at the
start of the pandemic, employment rates partially recovered
between April and August, with greater gains for those
groups that had borne the brunt of the early jobs losses.
Although the high-frequency phone surveys greatly
over-represent household heads and therefore overestimate
employment rates, case studies in five countries suggest
that they provide a reasonably accurate measure of
disparities in employment levels by gender, education, and
urban/rural location following the onset of the crisis,
although they perform less well in capturing disparities
between age groups. These results shed new light on the
labor market consequences of the COVID-19 crisis in
developing countries, and suggest that real-time phone
surveys, despite their lack of representativeness, are a
valuable source of information to measure differential
employment impacts across groups during a crisis. |
format |
Working Paper |
author |
Kugler, Maurice Viollaz, Mariana Duque, Daniel Gaddis, Isis Newhouse, David Palacios-Lopez, Amparo Weber, Michael |
author_facet |
Kugler, Maurice Viollaz, Mariana Duque, Daniel Gaddis, Isis Newhouse, David Palacios-Lopez, Amparo Weber, Michael |
author_sort |
Kugler, Maurice |
title |
How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World? |
title_short |
How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World? |
title_full |
How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World? |
title_fullStr |
How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World? |
title_full_unstemmed |
How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World? |
title_sort |
how did the covid-19 crisis affect different types of workers in the developing world? |
publisher |
World Bank, Washington, DC |
publishDate |
2021 |
url |
http://documents.worldbank.org/curated/en/409921624030877958/How-Did-the-COVID-19-Crisis-Affect-Different-Types-of-Workers-in-the-Developing-World http://hdl.handle.net/10986/35823 |
_version_ |
1764483849779150848 |