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Forecasting Substantial Data Revisions in the Presence of Model Uncertainty Author info | Abstract | Publisher info | Download info | Related research | Statistics Anthony Garratt
Gary Koop
Shaun P. Vahey (Reserve Bank of New Zealand )
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A recent revision to the preliminary measurement of GDP(E) growth for 2003Q2 caused considerable press attention, provoked a public enquiry and prompted a number of reforms to UK statistical reporting procedures. In this paper, we compute the probability of "substantial revisions" that are greater (in absolute value) than the controversial 2003 revision. The pre-dictive densities are derived from Bayesian model averaging over a wide set of forecasting models including linear, structural break and regime-switching models with and without heteroskedasticity. Ignoring the nonlinearities and model uncertainty yields misleading predictives and obscures the improvement in the quality of preliminary UK macroeconomic measurements relative to the early 1990s.
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Paper provided by Reserve Bank of New Zealand in its series Reserve Bank of New Zealand Discussion Paper Series with number
DP2006/02.
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Length: 31 p.
Date of creation: Feb 2006Date of revision:
Handle: RePEc:nzb:nzbdps:2006/02Contact details of provider: Postal: P.O. Box 2498, Wellington Phone: 64 4 471-3767 Fax: 64 4 471-2270 Email: Web page: http://www.rbnz.govt.nz More information through EDIRC
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Find related papers by JEL classification: E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
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"Forecasting Substantial Data Revisions in the Presence of Model Uncertainty ,"
Reserve Bank of New Zealand Discussion Paper Series
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Other versions:
Anthony Garratt & Gary Koop & Shaun P. Vahey, 2006.
"Forecasting Substantial Data Revisions in the Presence of Model Uncertainty ,"
Birkbeck Working Papers in Economics and Finance
0617, Birkbeck, School of Economics, Mathematics & Statistics.
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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.)
Anthony Garratt & Gary Koop & Shaun P. Vahey, 2006.
"Forecasting Substantial Data Revisions in the Presence of Model Uncertainty ,"
Birkbeck Working Papers in Economics and Finance
0617, Birkbeck, School of Economics, Mathematics & Statistics.
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"Analysis of revisions to quarterly GDP - a real-time database ,"
Reserve Bank of New Zealand Bulletin ,
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"Real-time Prediction with UK Monetary Aggregates in the Presence of Model Uncertainty ,"
Reserve Bank of New Zealand Discussion Paper Series
DP2008/13, Reserve Bank of New Zealand.
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