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  • 1
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Abstract: The economic crisis caused by the Coronavirus (COVID-19) pandemic sharply reduced mobility and economic activity, disrupting the lives of people around the globe. This brief presents estimates on the crisis' impact on labor markets in thirty-nine countries based on high-frequency phone survey (HFPS) data collected between April and July 2020. Workers in these countries experienced severe labor market disruptions following the Coronavirus (COVID-19) outbreak. Thirty-four percent of respondents reported stopping work, twenty percent of wage workers reported lack of payment for work performed, nine percent reported job changes due to the pandemic, and sixty-two percent reported income loss in their household. Measures of work stoppage and income loss in the HFPS are generally consistent with gross domestic products (GDP) growth projections in Latin America and the Caribbean but not in Sub-Saharan Africa, indicating that the phone survey data contributes valuable new information about the impacts of the crisis. Ensuring availability of such critical data in the future will require investments into statistical and physical infrastructure as well as human capital to set up Emergency Observatories, which can rapidly deploy phone surveys to inform decision makers
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  • 2
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other Papers
    Abstract: This report identifies some of the most binding constraints preventing products in targeted value chains in Tunisia from reaching strategic (high value added) markets and proposes a road map on how to strengthen their competitiveness on these market segments. The analysis is anchored in a strategic segmentation exercise and builds on the outputs of a Value Chain Development training program delivered by the World Bank to the members of Tunisia's "Task Force for Value chain and Cluster Development". The training program's tutors complemented and deepened the analyses started by trainees in the cases of the value chains for olive oil, tomatoes, and rosemary. The report provides an illustration of how such a value chain and cluster development approach can be leveraged to accelerate job creation and reduce inequalities between the leading and the lagging regions of Tunisia
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  • 3
    Language: English
    Pages: 1 Online-Ressource (40 pages)
    Parallel Title: Erscheint auch als Contreras-Gonzalez, Ivette Inequalities in Job Loss and Income Loss in Sub-Saharan Africa during the COVID-19 Crisis
    Keywords: Coronavirus (COVID-19) ; COVID-19 Impact ; Economic Shock ; Employment and Unemployment ; Gender and Employment ; Gender and Poverty ; Gender and Social Policy ; Household Survey Data ; Inequality ; Inequaliy ; Job Loss ; Job Loss by Age ; Jobs ; Labor Markets ; Poverty Reduction ; Social Protections and Labor ; Vulnerability to Poverty ; Gender
    Abstract: This paper uses high-frequency phone survey data from Ethiopia, Malawi, Nigeria, and Uganda to analyze the impacts of the COVID-19 crisis on work (including wage employment, self-employment, and farm work) and income, as well as heterogeneity by gender, family composition, education, age, pre-COVID19 industry of work, and between the rural and urban sectors. The paper links phone survey data collected throughout the pandemic to pre-COVID-19 face-to-face survey data to track the employment of respondents who were working before the pandemic and analyze individual-level indicators of job loss and re-employment. Finally, it analyzes both immediate impacts, during the first few months of the pandemic, as well as longer run impacts through February/March 2021. The findings show that in the early phase of the pandemic, women, young, and urban workers were significantly more likely to lose their jobs. A year after the onset of the pandemic, these inequalities disappeared and education became the main predictor of joblessness. The analysis finds significant rural/urban, age, and education gradients in household-level income loss. Households with income from nonfarm enterprises were the most likely to report income loss, in the short run as well as the longer run
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  • 4
    Language: English
    Pages: 1 Online-Ressource (63 pages)
    Parallel Title: Erscheint auch als Print Version: Kugler, Maurice How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World?
    Abstract: 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
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