This paper quantifies the finance uncertainty multiplier (ie, the magnifying effect of the real impact of uncertainty shocks due to credit frictions) by relying on two historical events related …
This paper investigates the impact of monetary policy shocks on macroeconomic and financial variables in the United Kingdom using a new series of high-frequency monetary …
We estimate a novel measure of global financial uncertainty (GFU) with a dynamic factor framework that jointly models global, regional, and country‐specific factors. We quantify the …
We develop methods for robust Bayesian inference in structural vector autoregressions (SVARs) where the parameters of interest are set-identified using external instruments, or …
This survey features three parts. The first one covers the recent literature on domestic (ie, country-specific) uncertainty and offers ten main takeaways. The second part reviews …
L Liu - Frontiers in Public Health, 2023 - frontiersin.org
This study employs a Bayesian panel vector autoregressive model to examine the impact of economic uncertainty on public health, using an annual, country-level panel dataset of 103 …
C Jentsch, KG Lunsford - Journal of Business & Economic …, 2022 - Taylor & Francis
Proxy structural vector autoregressions identify structural shocks in vector autoregressions with external variables that are correlated with the structural shocks of interest but …
An increase in uncertainty is not contractionary per se. What is contractionary is a widening of the left tail of the GDP growth forecast distribution, the downside uncertainty. On the …
R Braun, R Brüggemann - Journal of Business & Economic …, 2023 - Taylor & Francis
We discuss combining sign restrictions with information in external instruments (proxy variables) to identify structural vector autoregressive (SVAR) models. In one setting, we …