Abstract
Conventional wisdom usually suggests that agents should use all the data they have to make the best possible prediction. In this paper, it is shown that agents may make better predictions by discarding old data if their model is mis-specified. The applicability of the results to some economic models is also demonstrated. (C) 2004 Elsevier B.V. All rights reserved.
Original language | English |
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Pages (from-to) | 263-272 |
Number of pages | 10 |
Journal | Journal of Economic Behavior and Organization |
Volume | 56 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 2005 |
Keywords
- optimal
- mean squared error
- bounded memory
- EXPECTATIONS