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Global macroeconomic uncertainty

Tino Berger, Sibylle Grabert and Bernd Kempa ()

Journal of Macroeconomics, 2017, vol. 53, issue C, 42-56

Abstract: We empirically identify global macroeconomic uncertainty using a dynamic factor model, where the conditional variances of all factors are modeled as stochastic volatility processes. Applying this methodology to OECD data, we find the early 1970s and early 1980s recessions as well as the recent Great Recession of the late 2000s to be associated with increases in uncertainty at the global level, but heightened uncertainty during the early 1990s and 2000s slowdowns to be mostly confined to the national levels. We also find that global uncertainty unambiguously lowers national growth rates and raises national inflation rates, and that key macroeconomic variables like oil, commodity and stock prices as well as global liquidity act as drivers of the global dimension of uncertainty.

Keywords: Global macroeconomic uncertainty; Dynamic factor models; Stochastic volatility (search for similar items in EconPapers)
JEL-codes: C32 F44 (search for similar items in EconPapers)
Date: 2017
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