UK Real-Time Macro Data Characteristics
AbstractWe characterise the relationships between preliminary and subsequent measurements for 16 commonly-used UK macroeconomic indicators drawn from two existing real-time data sets and a new nominal variable database. Most preliminary measurements are biased predictors of subsequent measurements, with some revision series affected by multiple structural breaks. To illustrate how these findings facilitate real-time forecasting, we use a vector autoregresion to generate real-time one step ahead probability event forecasts for 1990Q1 to 1999Q2. Ignoring the predictability in initial measurements understates considerably the probability of above trend output growth. Copyright Reserve Bank of New Zealand 2006..
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Bibliographic InfoArticle provided by Royal Economic Society in its journal The Economic Journal.
Volume (Year): 116 (2006)
Issue (Month): 509 (02)
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Postal: Office of the Secretary-General, School of Economics and Finance, University of St. Andrews, St. Andrews, Fife, KY16 9AL, UK
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Other versions of this item:
- Shaun Vahey & Tony Garratt, 2005. "UK Real-time Macro Data Characteristics," Computing in Economics and Finance 2005 253, Society for Computational Economics.
- Anthony Garratt & Shaun P Vahey, 2005. "UK Real-Time Macro Data Characteristics," Birkbeck Working Papers in Economics and Finance 0502, Birkbeck, Department of Economics, Mathematics & Statistics.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- E00 - Macroeconomics and Monetary Economics - - General - - - General
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