Alternative measures of the NAIRU in the euro area: estimates and assessment
Silvia Fabiani () and
Ricardo Mestre
No 17, Working Paper Series from European Central Bank
Abstract:
The paper focuses on the measurement of the NAIRU (Non-Accelerating-Inflation-Rate-of-Unemployment) for the euro area and assesses the usefulness of different methodologies developed in the literature to estimate this unobservable variable at the aggregate level. After reviewing the theoretical framework underlying the most common estimation approaches, it presents several estimates of the area-wide NAIRU based on a number of direct (or statistical) techniques. The latter range from simple univariate filtering approaches to more complex multivariate methods based on Phillips curve relationships. The different estimates of the aggregate NAIRU appear to be consistent and robust with respect to alternative specifications, methodologies and choice of the inflation indicator. They also show significant inflation forecasting ability and are able to produce sensible measures of the output gap, therefore providing some ground to argue that unemployment and the unemployment gap may be a useful variable to analyse short-term economic developments at the euro area level. JEL Classification: E24, E31, C14, C22
Keywords: Kalman filter; NAIRU; Phillips curve (search for similar items in EconPapers)
Date: 2000-03
Note: 334659
References: Add references at CitEc
Citations: View citations in EconPapers (47)
Downloads: (external link)
https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp017.pdf (application/pdf)
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:ecb:ecbwps:200017
Access Statistics for this paper
More papers in Working Paper Series from European Central Bank 60640 Frankfurt am Main, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Official Publications ().