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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| Muut tekijät: | , , |
| Aineistotyyppi: | Aikakauslehti |
| Kieli: | English |
| Julkaistu: |
Washington, D.C. :
International Monetary Fund,
2022.
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| Sarja: | IMF Working Papers; Working Paper ;
No. 2022/088 |
| Aiheet: | |
| Linkit: | Full text available on IMF Full text available on IMF |