Is More Data Better?
Convention 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 sometimes be able to make better predictions by throwing away data. The optimality criterion agents adopt is the mean squared criterion.
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- Honkapohja, Seppo & Mitra, Kaushik, 2003.
"Learning with bounded memory in stochastic models,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 27(8), pages 1437-1457, June.
- Seppo Honkapohja & Kaushik Mitra, "undated". "Learning with Bounded Memory in Stochastic Models," Discussion Papers 00/42, Department of Economics, University of York.
- Honkapohja, S. & Mitra, K., 1999. "Learning with Bounded Memory in Stochastic Models," University of Helsinki, Department of Economics 456, Department of Economics.
- Kaushik Mitra & Seppo Honkapohja, 1999. "Learning with Bounded Memory in Stochastic Models," Computing in Economics and Finance 1999 221, Society for Computational Economics.
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- repec:cup:macdyn:v:2:y:1998:i:3:p:287-321 is not listed on IDEAS
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- George W. Evans & Seppo Honkapohja, 1993. "Adaptive forecasts, hysteresis, and endogenous fluctuations," Economic Review, Federal Reserve Bank of San Francisco, pages 3-13.
- Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
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- Evans, George W. & Honkapohja, Seppo, 1999. "Learning dynamics," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 7, pages 449-542 Elsevier. Full references (including those not matched with items on IDEAS)