Who did Covid-19 hurt the most in Sub-Saharan Africa ?
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- Hai-Anh Dang & Toan L.D. Huynh & Manh-Hung Nguyen, 2023.
"Does the COVID-19 pandemic disproportionately affect the poor? Evidence from a six-country survey,"
Journal of Economics and Development, Emerald Group Publishing Limited, vol. 26(1), pages 2-18, December.
- Dang, Hai-Anh H & Huynh, Toan L. D. & Nguyen, Manh-Hung, 2020. "Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey," IZA Discussion Papers 13352, Institute of Labor Economics (IZA).
- Hai-Anh Dang & Toan Huynh & Manh-Hung Nguyen, 2022. "Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey," Working Papers 626, ECINEQ, Society for the Study of Economic Inequality.
- Dang, Hai-Anh H. & Huynh, Toan L. D. & Nguyen, Manh-Hung, 2022. "Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey," GLO Discussion Paper Series 1181, Global Labor Organization (GLO).
- Hai-Anh H. Dang & Toan L.D. Huynh & Manh Hung Nguyen, 2023. "Does the COVID-19 pandemic disproportionately affect the poor? Evidence from a six-country survey," Post-Print hal-04374164, HAL.
- Dang, Hai-Anh H. & Nguyen, Manh-Hung & Huynh, Toan L.D., 2022. "Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey," TSE Working Papers 22-1372, Toulouse School of Economics (TSE).
- Jose Cuesta & Gabriel Lara Ibarra, 2017. "Comparing Cross-Survey Micro Imputation and Macro Projection Techniques: Poverty in Post Revolution Tunisia," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-30, March.
- Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019.
"Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments,"
Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
- Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero & Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero, 2017. "Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments," Policy Research Working Paper Series 8282, The World Bank.
- Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
- Hai-Anh Dang & Dean Jolliffe & Calogero Carletto, 2018. "Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments," Working Papers 456, ECINEQ, Society for the Study of Economic Inequality.
- Zhang, Yiyun & Li, Runze & Tsai, Chih-Ling, 2010. "Regularization Parameter Selections via Generalized Information Criterion," Journal of the American Statistical Association, American Statistical Association, vol. 105(489), pages 312-323.
- Palacios-Lopez,Amparo & Newhouse,David Locke & Pape,Utz Johann & Khamis,Melanie & Weber,Michael & Prinz,Daniel, 2021. "The Early Labor Market Impacts of COVID-19 in Developing Countries : Evidence from High-Frequency Phone Surveys," Policy Research Working Paper Series 9510, The World Bank.
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This paper has been announced in the following NEP Reports:- NEP-DEV-2025-03-10 (Development)
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