EconPapers    
Economics at your fingertips  
 

UK Real-time Macro Data Characteristics

Shaun Vahey and Anthony Garratt (anthony.garratt@wbs.ac.uk)

No 253, Computing in Economics and Finance 2005 from Society for Computational Economics

Abstract: We 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

Keywords: real-time data; structural breaks; probability event (search for similar items in EconPapers)
JEL-codes: C22 C82 E00 (search for similar items in EconPapers)
Date: 2005-11-11
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: UK Real-Time Macro Data Characteristics (2006)
Working Paper: UK Real-Time Macro Data Characteristics (2005) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf5:253

Access Statistics for this paper

More papers in Computing in Economics and Finance 2005 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum (baum@bc.edu).

 
Page updated 2025-03-20
Handle: RePEc:sce:scecf5:253