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Karim Barhoumi, Seung Mo Choi, Tara Iyer, Jiakun Li, Franck Ouattara, Mr. Andrew J Tiffin, and Jiaxiong Yao
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.
International Monetary Fund. Statistics Dept.
A technical assistance (TA) mission was conducted by the International Monetary Fund’s (IMF) Regional Technical Assistance Center for Southern Africa (AFS)1 during November 22–26, 2021 to continue assisting Statistics Botswana (SB) with developing the producer price index (PPI). Due to ongoing COVID-19 related travel restrictions, this mission was conducted remotely using Microsoft Teams, WhatsApp, and email. Previous missions to assist with developing price indexes were held in February 2019 and October 2020.