We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the volatility of macroeconomic variables and is novel in the literature on uncertainty. This approach allows us to simultaneously address two major questions in the empirical literature: Is uncertainty a cause or effect of the decline in economic activity? Does the relationship between uncertainty and economic activity change across macroeconomic regimes? Results based on a small-scale vector autoregression with US monthly data suggest that (i) uncertainty is an exogenous source of the decline of economic activity, and (ii) the effects of uncertainty shocks amplify in periods of economic and financial turmoil.

Uncertainty Across Volatility Regimes

Angelini, Giovanni;Bacchiocchi, Emanuele;Fanelli, Luca
2019

Abstract

We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the volatility of macroeconomic variables and is novel in the literature on uncertainty. This approach allows us to simultaneously address two major questions in the empirical literature: Is uncertainty a cause or effect of the decline in economic activity? Does the relationship between uncertainty and economic activity change across macroeconomic regimes? Results based on a small-scale vector autoregression with US monthly data suggest that (i) uncertainty is an exogenous source of the decline of economic activity, and (ii) the effects of uncertainty shocks amplify in periods of economic and financial turmoil.
2019
Angelini, Giovanni; Caggiano, Giovanni; Bacchiocchi, Emanuele; Fanelli, Luca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/652723
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