Measuring uncertainty and assessing its predictive power in the euro area
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/27641DOI: 10.1007/s00181-016-1181-6
ISSN: 0377-7332
ISSN: 1435-8921
Date
2016-09-28Affiliation
Universidad de Alcalá. Departamento de EconomíaFunders
Ministerio de Economía y Competitividad
Financial support from the Spanish Ministry of Economy and Competitiveness, project numbers ECO2015-70331-C2-1-R, ECO2015-66593-P and ECO2014-56676C2-2-P and Universidad de Alcalá is acknowledged.
Bibliographic citation
Empirical Economics (2016). doi:10.1007/s00181-016-1181-6
Keywords
Survey of professional forecasters
Combination of forecasts
Uncertainty
Surprises
Principal components
Project
ECO2015-70331-C2-1-R (Ministerio de Economía y Competitividad)
ECO2015-66593-P (Ministerio de Economía y Competitividad)
ECO2014-56676C2-2-P (Ministerio de Economía y Competitividad)
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution 4.0 International (CC BY 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
Expectations and uncertainty play a key role in economic behavior. This paper deals with both, expectations and uncertainty derived from the European Central Bank Survey of Professional Forecasters. Given the strong turbulences that the euro area macroeconomic indicators observe since 2007, the aim of the paper is to check whether there is any room for improvement of the consensus forecast accuracy for GDP growth and inflation when accounting for uncertainty. We propose a new measure of uncertainty, alternative to the ad hoc equal weights commonly used, based on principal components. We test the role of uncertainty in forecasting macroeconomic performance in the euro area between 2005 and 2015. We also check the role of surprises in the considered forecasting sample
Files in this item
Files | Size | Format |
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Measuring_uncertainty_EE_2016.pdf | 1.297Mb |
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Files | Size | Format |
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Measuring_uncertainty_EE_2016.pdf | 1.297Mb |
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