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Machine Learning and Causality
The Impact of Financial Crises on Growth

by Andrew J. Tiffin

Series:Working Paper No. 19/228
ISBN 9781513518305
Code: #WPIEA2019228

Publication year: 2019

Cdn: $27.00; US: $25.00
Paperback
Language: English
30 pages
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Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some leading work in this area, using a concrete example—assessing the impact of a hypothetical banking crisis on a country’s growth. By enabling consideration of a rich set of potential nonlinearities, and by allowing individually-tailored policy assessments, machine learning can provide an invaluable complement to the skill set of economists within the Fund and beyond.
Machine Learning and Causality
Cdn: $27.00; US: $25.00
International Monetary Fund (IMF) BookID: 126376 Added: 2019.11.25