Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa

Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa
Author :
Publisher : International Monetary Fund
Total Pages : 23
Release :
ISBN-10 : 9798400210136
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa by : Karim Barhoumi

Download or read book Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa written by Karim Barhoumi and published by International Monetary Fund. This book was released on 2022-05-06 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa Related Books

Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa
Language: en
Pages: 23
Authors: Karim Barhoumi
Categories: Business & Economics
Type: BOOK - Published: 2022-05-06 - Publisher: International Monetary Fund

DOWNLOAD EBOOK

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 del
Regional Economic Outlook, Sub-Saharan Africa, October 2023
Language: en
Pages: 30
Authors: International Monetary
Categories: Business & Economics
Type: BOOK - Published: 2023-10-10 - Publisher: International Monetary Fund

DOWNLOAD EBOOK

Still emerging from the COVID-19 pandemic, countries in sub-Saharan Africa have been hit by a sluggish global economy, worldwide inflation, high borrowing costs
Mending the Crystal Ball: Enhanced Inflation Forecasts with Machine Learning
Language: en
Pages: 23
Authors: Yang Liu
Categories:
Type: BOOK - Published: 2024-09-27 - Publisher: International Monetary Fund

DOWNLOAD EBOOK

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine
Kingdom of Lesotho
Language: en
Pages: 18
Authors: International Monetary Fund. African Dept.
Categories:
Type: BOOK - Published: 2024-09-11 - Publisher: International Monetary Fund

DOWNLOAD EBOOK

Kingdom of Lesotho: Selected Issues
Panel Nowcasting for Countries Whose Quarterly GDPs are Unavailable
Language: en
Pages: 36
Authors: Omer Faruk Akbal
Categories: Business & Economics
Type: BOOK - Published: 2023-08-04 - Publisher: International Monetary Fund

DOWNLOAD EBOOK

Quarterly GDP statistics facilitate timely economic assessment, but the availability of such data are limited for more than 60 developing economies, including a