Machine learning and causality : the impact of financial crises on growth
Year of publication: |
2019
|
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Authors: | Tiffin, Andrew |
Publisher: |
[Washington, DC] : International Monetary Fund |
Subject: | Supervised machine learning | causal inference | policy evaluation | counterfactual prediction | randomized experiments | treatment effects | banking crisis | financial crisis | Finanzkrise | Financial crisis | Kausalanalyse | Causality analysis | Bankenkrise | Banking crisis | Wirkungsanalyse | Impact assessment | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model |
Extent: | 1 Online-Ressource (circa 31 Seiten) Illustrationen |
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Series: | IMF working papers. - Washington, DC : IMF, ZDB-ID 2108494-4. - Vol. WP/19, 228 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
ISBN: | 978-1-5135-1830-5 |
Other identifiers: | 10.5089/9781513518305.001 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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