아프리카ㆍ중동
연구정보
[경제] Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa
아프리카ㆍ 중동 일반 국외연구자료 연구보고서 - IMF 발간일 : 2022-05-06 등록일 : 2022-06-02 원문링크
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 framework that helps track economic activity in real time for these economies. As illustrative examples, the framework is applied to selected sub-Saharan African economies. The framework is able to provide timely information on economic activity more swiftly than official statistics.
본 페이지에 등재된 자료는 운영기관(KIEP) 및 EMERiCs의 공식적인 입장을 대변하고 있지 않습니다.
| 이전글 | [지역개발] Road Safety culture in Africa : Results from the ESRA2 survey in 12 Afric... | 2022-04-07 |
|---|---|---|
| 다음글 | [경제] Growth in the African Urban Hierarchy | 2022-08-31 |
