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...

詳細記述

書誌詳細
第一著者: Barhoumi, Karim
その他の著者: Iyer, Tara, Li, Jiakun, Mo Choi, Seung
フォーマット: 雑誌
言語:English
出版事項: Washington, D.C. : International Monetary Fund, 2022.
シリーズ:IMF Working Papers; Working Paper ; No. 2022/088
主題:
オンライン・アクセス:Full text available on IMF
Full text available on IMF