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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References listed on IDEAS
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- Bray, Margaret, 1982. "Learning, estimation, and the stability of rational expectations," Journal of Economic Theory, Elsevier, vol. 26(2), pages 318-339, April.
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"Learning with Bounded Memory in Stochastic Models,"
00/42, Department of Economics, University of York.
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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.
- Hommes, Cars H., 1998. "On the consistency of backward-looking expectations: The case of the cobweb," Journal of Economic Behavior & Organization, Elsevier, vol. 33(3-4), pages 333-362, January.
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- repec:cup:macdyn:v:2:y:1998:i:3:p:287-321 is not listed on IDEAS
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
- 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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