Machine Learning and Causality: The Impact of Financial Crises on Growth
November 1, 2019
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Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.
Summary
Subject: Exchange rate flexibility, Financial crises, Foreign exchange, Machine learning, Technology
Keywords: B. machine learning, Banking crisis, Causal inference, Confidence interval, Counterfactual prediction, Exchange rate flexibility, Financial crisis, Global, Instrumental-variables approach, Machine learning, Machine learning tool, Machine-learning literature, Machine-learning model, Machine-learning modification, ML technique, Policy evaluation, Randomized experiments, RF algorithm, Supervised machine learning, Treatment effects, Treatment variable, WP
Publication Details
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Pages:
30
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Volume:
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DOI:
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Issue:
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Series:
Working Paper No. 2019/228
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Stock No:
WPIEA2019228
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ISBN:
9781513518305
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ISSN:
1018-5941
