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  • 1
    Online Resource
    Online Resource
    [Washington, DC, USA] : World Bank Group, Development Economics, Development Data Group
    Language: English
    Pages: 1 Online-Ressource (circa 60 Seiten) , Illustrationen
    Series Statement: Policy research working paper 9466
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Josephson, Anna Socioeconomic Impacts of COVID-19 in Four African Countries
    Keywords: Graue Literatur
    Abstract: The coronavirus disease 2019 (COVID-19) and the attempts to limit its spread have resulted in profound economic impacts, and a significant contraction in the global economy is expected. This paper provides some of the first evidence on the socioeconomic impacts of and responses to the pandemic among households and individuals in Sub-Saharan Africa. To do so, reduced-form econometric methods are applied to longitudinal household survey data from Ethiopia, Malawi, Nigeria, and Uganda - originating from the pre-COVID-19 face-to-face household surveys and from the novel phone surveys that are being implemented during the pandemic. The headline findings are fourfold. First, although false beliefs about COVID-19 remain prevalent, government action to limit the spread of the disease is associated with greater individual knowledge of the disease and increased uptake of precautionary measures. Second, 256 million individuals - 77 percent of the population in the four countries - are estimated to live in households that have lost income due to the pandemic. Third, attempts to cope with this loss are exacerbated by the inability to access medicine and staple foods among 20 to 25 percent of the households in each country, and food insecurity is disproportionately borne by households that were already impoverished prior to the pandemic. Fourth, student-teacher contact has dropped from a pre-COVID-19 rate of 96 percent to just 17 percent among households with school-age children. These findings can help inform decisions by governments and international organizations on measures to mitigate the effects of the COVID-19 pandemic and reveal the need for continued monitoring
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  • 2
    Language: English
    Pages: 1 Online-Ressource (24 pages)
    Parallel Title: Erscheint auch als Print Version: Furbush, Ann The Evolving Socioeconomic Impacts of COVID-19 in Four African Countries
    Abstract: The paper provides evidence on the evolving socioeconomic impacts of the COVID-19 pandemic among households in Ethiopia, Malawi, Nigeria, and Uganda. The data allow estimating the immediate economic impacts of the pandemic, beginning in April 2020, and tracking how the situation evolved through September 2020. Although households have started to see recovery in income, business revenues, and food security, the gains have been relatively modest. Additionally, households have received very little outside assistance and their ability to cope with shocks remains limited. School closures have created a vacuum in education delivery and school-aged children have struggled to receive education services remotely
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  • 3
    Language: English
    Pages: 1 Online-Ressource (151 pages)
    Parallel Title: Erscheint auch als Print Version: Michler, Jeffrey D Estimating the Impact of Weather on Agriculture
    Keywords: Agricultural Productivity ; Agricultural Sector Economics ; Agriculture ; Climate and Meteorology ; Climate Change and Agriculture ; Climate Change Impacts ; Crop Yield ; Crops and Crop Management Systems ; Environment ; Precipitation ; Remote Sensing ; Science and Technology Development ; Temperature ; Weather Impacts
    Abstract: This paper quantifies the significance and magnitude of the effect of measurement error in remote sensing weather data in the analysis of smallholder agricultural productivity. The analysis leverages 17 rounds of nationally-representative, panel household survey data from six countries in Sub-Saharan Africa. These data are spatially linked with a range of geospatial weather data sources and related metrics. The paper provides systematic evidence on measurement error introduced by (1) different methods used to obfuscate the exact GPS coordinates of households, (2) different metrics used to quantify precipitation and temperature, and (3) different remote sensing measurement technologies. First, the analysis finds no discernible effect of measurement error introduced by different obfuscation methods. Second, it finds that simple weather metrics, such as total seasonal rainfall and mean daily temperature, outperform more complex metrics, such as deviations in rainfall from the long-run average or growing degree days, in a broad range of settings. Finally, the analysis finds substantial amounts of measurement error based on remote sensing products. In extreme cases, the data drawn from different remote sensing products result in opposite signs for coefficients on weather metrics, meaning that precipitation or temperature drawn from one product purportedly increases crop output while the same metrics drawn from a different product purportedly reduces crop output. The paper concludes with a set of six best practices for researchers looking to combine remote sensing weather data with socioeconomic survey data
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