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Comparing predictive accuracy I: an asymptotic test Author info | Abstract | Publisher info | Download info | Related research | Statistics Francis X. Diebold
Roberto S. Mariano
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We propose and evaluate an explicit test of the null hypothesis of no difference in the accuracy of two competing forecasts. In contrast to previously developed tests, a wide variety of accuracy measures can be used (in particular, the loss function need not be quadratic, and need not even be symmetric), and forecast errors can be non-Gaussian, nonzero mean, serially correlated and contemporaneously correlated.
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Paper provided by Federal Reserve Bank of Minneapolis in its series Discussion Paper / Institute for Empirical Macroeconomics with number
52.
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Date of creation: 1991Date of revision:
Handle: RePEc:fip:fedmem:52Contact details of provider: Postal: 90 Hennepin Avenue, P.O. Box 291, Minneapolis, MN 55480-0291 Phone: (612) 204-5000 Web page: http://minneapolisfed.org/ More information through EDIRC
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Keywords: Econometrics ; Other versions of this item:
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references Cited by : (explanations , 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.)
Roy H. Webb & Tazewell S. Rowe, 1995.
"An index of leading indicators for inflation ,"
Economic Quarterly ,
Federal Reserve Bank of Richmond, issue Spr, pages 75-96.
[Downloadable!]
Kenneth D. West & Dongchul Cho, 1994.
"The Predictive Ability of Several Models of Exchange Rate Volatility ,"
NBER Technical Working Papers
0152, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Other versions: Chan Huh, 1998.
"Forecasting industrial production using models with business cycle asymmetry ,"
Economic Review ,
Federal Reserve Bank of San Francisco, pages 29-41.
[Downloadable!]
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