Conventional wisdom usually suggests that agents should use all the data they have to make the best possible prediction. In this paper, however, it is shown that agents may sometimes be able to make better predictions by throwing away old data. The optimality criterion agents adopt is the mean squared error criterion.
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Paper provided by Department of Economics, University of York in its series Discussion Papers with number
00/44.
Length: Date of creation: Date of revision: Handle: RePEc:yor:yorken:00/44
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Find related papers by JEL classification: C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
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[Downloadable!] (restricted)
repec:cup:macdyn:v:2:y:1998:i:3:p:287-321 is not listed on IDEAS
Evans, G B A & Savin, N E, 1984.
"Testing for Unit Roots: 2,"
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Evans, George W. & Honkapohja, Seppo, 1999.
"Learning dynamics,"
Handbook of Macroeconomics,
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