Learning can generate long memory
We study learning dynamics in a prototypical representative-agent forward-looking model in which agents’ beliefs are updated using linear learning algorithms. We show that learning in this model can generate long memory endogenously, without any persistence in the exogenous shocks, depending on the...
| Main Authors: | , |
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| Format: | Journal article |
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Elsevier
2017
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| _version_ | 1826262965448343552 |
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| author | Chevillon, G Mavroeidis, S |
| author_facet | Chevillon, G Mavroeidis, S |
| author_sort | Chevillon, G |
| collection | OXFORD |
| description | We study learning dynamics in a prototypical representative-agent forward-looking model in which agents’ beliefs are updated using linear learning algorithms. We show that learning in this model can generate long memory endogenously, without any persistence in the exogenous shocks, depending on the weights agents place on past observations when they update their beliefs, and on the magnitude of the feedback from expectations to the endogenous variable. This is distinctly different from the case of rational expectations, where the memory of the endogenous variable is determined exogenously. |
| first_indexed | 2024-03-06T19:44:11Z |
| format | Journal article |
| id | oxford-uuid:21b3fbd1-aef4-4ef8-8b3e-9e4411490b99 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T19:44:11Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:21b3fbd1-aef4-4ef8-8b3e-9e4411490b992022-03-26T11:34:48ZLearning can generate long memoryJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:21b3fbd1-aef4-4ef8-8b3e-9e4411490b99Symplectic Elements at OxfordElsevier2017Chevillon, GMavroeidis, SWe study learning dynamics in a prototypical representative-agent forward-looking model in which agents’ beliefs are updated using linear learning algorithms. We show that learning in this model can generate long memory endogenously, without any persistence in the exogenous shocks, depending on the weights agents place on past observations when they update their beliefs, and on the magnitude of the feedback from expectations to the endogenous variable. This is distinctly different from the case of rational expectations, where the memory of the endogenous variable is determined exogenously. |
| spellingShingle | Chevillon, G Mavroeidis, S Learning can generate long memory |
| title | Learning can generate long memory |
| title_full | Learning can generate long memory |
| title_fullStr | Learning can generate long memory |
| title_full_unstemmed | Learning can generate long memory |
| title_short | Learning can generate long memory |
| title_sort | learning can generate long memory |
| work_keys_str_mv | AT chevillong learningcangeneratelongmemory AT mavroeidiss learningcangeneratelongmemory |