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Is more data better? Author info | Abstract | Publisher info | Download info | Related research | Statistics Kaushik Mitra () (Department of Economics, Royal Holloway, University of London )
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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.
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Paper provided by Department of Economics, Royal Holloway University of London in its series Royal Holloway, University of London: Discussion Papers in Economics with number
04/19.
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Length: 14 pages
Date of creation: Jul 2004Date of revision:
Jul 2004Handle: RePEc:hol:holodi:0419Contact details of provider: Postal: Egham Hill, Egham, Surrey, TW20 0EX, UK. Phone: +44 1784-414228 Fax: +44 1784-439534 Web page: http://www.rhul.ac.uk/economics/
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Keywords: optimal ; mean squared error ; bounded memory. ; Other versions of this item:
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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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Honkapohja, S. & Mitra, K., 1999.
"Learning with Bounded Memory in Stochastic Models ,"
University of Helsinki, Department of Economics
456, Department of Economics.
Other versions:
Seppo Honkapohja & Kaushik Mitra, .
"Learning with Bounded Memory in Stochastic Models ,"
Discussion Papers
00/42, Department of Economics, University of York.
[Downloadable!] Kaushik Mitra & Seppo Honkapohja, 1999.
"Learning with Bounded Memory in Stochastic Models ,"
Computing in Economics and Finance 1999
221, Society for Computational Economics.
[Downloadable!] Honkapohja, Seppo & Mitra, Kaushik, 2003.
"Learning with bounded memory in stochastic models ,"
Journal of Economic Dynamics and Control ,
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Hommes, Cars H., 1998.
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"Testing for Unit Roots: 1 ,"
Econometrica ,
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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.
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Bray, Margaret, 1982.
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Journal of Economic Theory ,
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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
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George W. Evans & Garey Ramey, 2001.
""Adaptive Expectations, Underparameterization and the Lucas Critique ,"
University of Oregon Economics Department Working Papers
2001-8, University of Oregon Economics Department, revised 01 Dec 2004.
[Downloadable!]
Other versions:
George Evans & Garey Ramey, 2001.
"Adaptive Expectations, Underparameterization and the Lucas Critique ,"
University of California at San Diego, Economics Working Paper Series
2001-11, Department of Economics, UC San Diego.
[Downloadable!] Evans, George W. & Ramey, Garey, 2006.
"Adaptive expectations, underparameterization and the Lucas critique ,"
Journal of Monetary Economics ,
Elsevier, vol. 53(2), pages 249-264, March.
[Downloadable!] (restricted)
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