Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조인구 | - |
dc.date.accessioned | 2016-05-24T08:34:07Z | - |
dc.date.available | 2016-05-24T08:34:07Z | - |
dc.date.issued | 2015-01 | - |
dc.identifier.citation | REVIEW OF ECONOMIC STUDIES, NO 82, Page. 45-82 | en_US |
dc.identifier.issn | 0034-6527 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/21313 | - |
dc.identifier.uri | https://academic.oup.com/restud/article-lookup/doi/10.1093/restud/rdu026 | - |
dc.description.abstract | This paper studies adaptive learning with multiple models. An agent operating in a self-referential environment is aware of potential model misspecification, and tries to detect it, in real-time, using an econometric specification test. If the current model passes the test, it is used to construct an optimal policy. If it fails the test, a new model is selected. As the rate of coefficient updating decreases, one model becomes dominant, and is used “almost always”. Dominant models can be characterized using the tools of large deviations theory. The analysis is used to address two questions posed by Sargent's Phillips Curve model. | en_US |
dc.description.sponsorship | We thank the editor and three anonymous referees for helpful comments. We are also grateful to Jim Bullard, Steve Durlauf, Lars Hansen, Seppo Honkapohja, Albert Marcet, and Tom Sargent for helpful discussions. Financial support from the National Science Foundation (ECS-0523620, SES-0720592) is gratefully acknowledged. | - |
dc.language.iso | en | en_US |
dc.publisher | OXFORD UNIV PRESS | en_US |
dc.subject | Learning | en_US |
dc.subject | Model Validation | en_US |
dc.title | Learning and Model Validation | en_US |
dc.type | Article | en_US |
dc.relation.no | 82 | - |
dc.identifier.doi | 10.1093/restud/rdu026 | - |
dc.relation.page | 45-82 | - |
dc.relation.journal | REVIEW OF ECONOMIC STUDIES | - |
dc.contributor.googleauthor | CHO, IN-KOO | - |
dc.contributor.googleauthor | KASA, KENNETH | - |
dc.relation.code | 2015015167 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ECONOMICS AND FINANCE[S] | - |
dc.sector.department | DIVISION OF ECONOMICS & FINANCE | - |
dc.identifier.pid | inkoocho | - |
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