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Impact of COVID-19: Nowcasting and Big Data to Track Economic Activity in Sub-Saharan Africa

ISCR ; CR ; staff appraisal ; staff statement ; end-December outturn ; GDP estimate ; Ecf arrangement ; financing needs ; COVID-19 ; Arrears ; Global ; Sub-Saharan Africa ; Africa ; Central Africa Brandon Buell; Reda Cherif; Carissa Chen; Jiawen Tang; Nils Wendt; Mr. Philip Barrett; Christopher Johns; Hites Ahir; Hendre Garbers; Mattia Coppo; Mr. Giovanni Melina; Mr. Futoshi Narita; Ms. Filiz D Unsal; Vivian Malta; Xin Tang; Daniel Gurara; Luis-Felipe Zanna; Linda G. Venable; Mr. Kangni R Kpodar; Mr. Chris Papageorgiou; Mr. Johannes Herderschee; Ms. Luisa Zanforlin; International Monetary F

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Source	International Monetary Fund
Collection	International records
Kind	Document
Publisher	International Monetary Fund
Date	03 Mar 202
Type	journal article
Details	IMF Working Papers
Found at	https://www.elibrary.imf.org/view/journals/001/2021/124/article-A001-en.xml
Archived copy	Look it up in the Wayback Machine
Doi	https://doi.org/10.5089/9781513571089.002
Authors	Brandon Buell, Reda Cherif, Carissa Chen, Jiawen Tang, Nils Wendt, Mr. Philip Barrett, Christopher Johns, Hites Ahir, Hendre Garbers, Mattia Coppo, Mr. Giovanni Melina, Mr. Futoshi Narita, Ms. Filiz D Unsal, Vivian Malta, Xin Tang, Daniel Gurara, Luis-Felipe Zanna, Linda G. Venable, Mr. Kangni R Kpodar, Mr. Chris Papageorgiou, Mr. Johannes Herderschee, Ms. Luisa Zanforlin, International Monetary Fund. African Dept.
Record ID	`imf:/view/journals/001/2021/124/article-A001-en.xml`

Cite this record

Impact of COVID-19: Nowcasting and Big Data to Track Economic Activity in Sub-Saharan Africa. International Monetary Fund, 2021. Vero Archive, record imf:/view/journals/001/2021/124/article-A001-en.xml.