A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies

Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftBegutachtung

Abstract

In this paper we assess the impact of climate shocks on futures markets for agricultural commodities and a set of macroeconomic quantities for multiple high-income economies. To capture relations among countries, markets, and climate shocks, this paper proposes parsimonious methods to estimate high-dimensional panel vector autoregressions. We assume that coefficients associated with domestic lagged endogenous variables arise from a Gaussian mixture model while further parsimony is achieved using suitable global-local shrinkage priors on several regions of the parameter space. Our results point toward pronounced global reactions of key macroeconomic quantities to climate shocks. Moreover, the empirical findings highlight substantial linkages between regionally located shocks and global commodity markets.
OriginalspracheEnglisch
Seiten (von - bis)1543-1573
FachzeitschriftAnnals of Applied Statistics
Jahrgang17
Ausgabenummer2
DOIs
PublikationsstatusVeröffentlicht - Juni 2023
Extern publiziertJa

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