Skewed SVARs: Tracking the Structural Sources of Macroeconomic Tail Risks
Carlos Montes-Galdón and
Eva Ortega
A chapter in Essays in Honour of Fabio Canova, 2022, vol. 44A, pp 177-210 from Emerald Group Publishing Limited
Abstract:
This chapter proposes a vector autoregressive VAR model with structural shocks (SVAR) that are identified using sign restrictions, and whose distribution is subject to time varying skewness. The authors also present an efficient Bayesian algorithm to estimate the model. The model allows tracking joint asymmetric risks to macroeconomic variables included in the SVAR, and provides a structural narrative to the evolution of those risks. When faced with euro area data, our estimation suggests that there has been a significant variation in the skewness of demand, supply and monetary policy shocks. Such variation can explain a significant proportion of the joint dynamics of real GDP growth and inflation, and also generates important asymmetric tail risks in those macroeconomic variables. Finally, compared to the literature on growth- and inflation-at-risk, the authors find that financial stress indicators are not enough to explain all the macroeconomic tail risks.
Keywords: Bayesian structural vector autoregressive; skewness; GDP risks; inflation risks; C11; C32; C51; E31; E32 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (12)
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Persistent link: https://EconPapers.repec.org/RePEc:eme:aecozz:s0731-90532022000044a007
DOI: 10.1108/S0731-90532022000044A007
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