Overcoming Data Sparsity : A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa /

The COVID-19 crisis has had a tremendous economic impact for all countries. Yet, assessing the full impact of the crisis has been frequently hampered by the delayed publication of official GDP statistics in several emerging market and developing economies. This paper outlines a machine-learning fram...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsman: Barhoumi, Karim
Övriga upphovsmän: Iyer, Tara, Li, Jiakun, Mo Choi, Seung
Materialtyp: Tidskrift
Språk:English
Publicerad: Washington, D.C. : International Monetary Fund, 2022.
Serie:IMF Working Papers; Working Paper ; No. 2022/088
Ämnen:
Länkar:Full text available on IMF
Full text available on IMF