Dimensions of macroeconomic uncertainty: a common factor analysis
Steffen Henzel and
Malte Rengel
Munich Reprints in Economics from University of Munich, Department of Economics
Abstract:
Uncertainty about the future course of the economy is a potential driver of aggregate fluctuations. To identify the distinct dimensions of uncertainty in the macroeconomy, we construct a large dataset covering all types of economic uncertainty. We then identify two fundamental factors that account for the common dynamics in this dataset. These factors are interpreted as macroeconomic uncertainty. The first factor captures business cycle uncertainty, while the second factor represents oil and commodity price uncertainty. While both types of uncertainty generate a decline in output, time-varying oil and commodity price uncertainty is more important for fluctuations in real activity. However, nonlinearities seem to amplify the effect of business cycle uncertainty during the global financial crisis. (JEL C32, C38, E32)
Date: 2017
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Citations: View citations in EconPapers (46)
Published in Economic inquiry 2 55(2017): pp. 843-877
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Related works:
Journal Article: DIMENSIONS OF MACROECONOMIC UNCERTAINTY: A COMMON FACTOR ANALYSIS (2017) 
Working Paper: Dimensions of Macroeconomic Uncertainty: A Common Factor Analysis (2014) 
Working Paper: Dimensions of macroeconomic uncertainty: A common factor analysis (2013) 
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Persistent link: https://EconPapers.repec.org/RePEc:lmu:muenar:49932
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