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...

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Hlavní autor: Barhoumi, Karim
Další autoři: Iyer, Tara, Li, Jiakun, Mo Choi, Seung
Médium: Časopis
Jazyk:English
Vydáno: Washington, D.C. : International Monetary Fund, 2022.
Edice:IMF Working Papers; Working Paper ; No. 2022/088
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On-line přístup:Full text available on IMF
Full text available on IMF