Tracking economic activity in the euro area: Multivariate direct filter approach
Ginters Buss
OECD Journal: Journal of Business Cycle Measurement and Analysis, 2015, vol. 2014, issue 2, 5-25
Abstract:
The paper applies the multivariate direct filter approach on selected business and consumer confidence indicators, and share price data to construct a real-time indicator tracking the medium-to-long-run component of the quarterly growth of the euro area gross domestic product. Results show that the created indicator behaves similarly to another established indicator, Eurocoin, but slightly leads it after mid 2009. The new indicator is also compared to the Markit Euro Area Composite Purchasing Managers Index and is found to be leading it by about one month as well as being smoother. Overall, the multivariate direct filter approach is found to have merit in tracking business cycle developments, however, the increasing number of free coefficients is an issue for the filter to be applied to detailed datasets. Keywords: real-time signal extraction, business cycles, multivariate time series JEL classification: C13, C32, E32
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1787/jbcma-2014-5js0bcts1433 (text/html)
Full text available to READ online. PDF download available to OECD iLibrary subscribers.
Related works:
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:oec:stdkab:5js0bcts1433
Access Statistics for this article
More articles in OECD Journal: Journal of Business Cycle Measurement and Analysis from OECD Publishing, Centre for International Research on Economic Tendency Surveys Contact information at EDIRC.
Bibliographic data for series maintained by ().