Machine Learning and Causality : The Impact of Financial Crises on Growth /
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 leadi...
| Egile nagusia: | Tiffin, Andrew |
|---|---|
| Formatua: | Aldizkaria |
| Hizkuntza: | English |
| Argitaratua: |
Washington, D.C. :
International Monetary Fund,
2019.
|
| Saila: | IMF Working Papers; Working Paper ;
No. 2019/228 |
| Gaiak: | |
| Sarrera elektronikoa: | Full text available on IMF |
Antzeko izenburuak
-
State Institutions and Tax Capacity : An Empirical Investigation of Causality /
nork: Akanbi, Olusegun Ayodele
Argitaratua: (2019) -
Specification of Policy Rules and Performance Measures in Multicountry Simulation Studies /
nork: McCallum, Bennett
Argitaratua: (1992) -
Mind the Gap : City-Level Inflation Synchronization /
nork: Cevik, Serhan
Argitaratua: (2022) -
Crypto, Corruption, and Capital Controls : Cross-Country Correlations /
nork: Alnasaa, Marwa
Argitaratua: (2022) -
The More the Merrier? : A Machine Learning Algorithm for Optimal Pooling of Panel Data /
nork: Bolhuis, Marijn
Argitaratua: (2020)