When the U.S. catches a cold, Canada sneezes : a lower-bound tale told by deep learning
Vadym Lepetyuk, Lilia Maliar, Serguei Maliar
| Year of publication: |
2020
|
|---|---|
| Authors: | Lepetyuk, Vadym ; Maliar, Lilia ; Maliar, Serguei |
| Published in: |
Journal of economic dynamics & control. - Amsterdam [u.a.] : Elsevier, ISSN 0165-1889, ZDB-ID 717409-3. - Vol. 117.2020, p. 1-37
|
| Subject: | Adaptive grid | Bank of Canada | bToTEM | Central bank | Central banking | Clustering analysis | Deep learning | ELB | Ergodic set | Large-scale model | Machine learning | Neural networks | New Keynesian model | Policymakers | Stochastic simulation | Supervised learning | ToTEM | Unsupervised learning | US Fed | ZLB | Kanada | Canada | Zentralbank | Lernprozess | Learning process | Geldpolitik | Monetary policy | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neoklassische Synthese | Neoclassical synthesis | USA | United States | Simulation | Lernen | Learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jedc.2020.103926 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012503249