This paper estimates a time-varying AR-GARCH model of inflation producing measures of inflation uncertainty for the euro area, and investigates the linkages between them in a VAR framework, also allowing for the possible impact of the policy regime change associated with the start of EMU in...

The study analyses the business cycles of the G7 countries in a structural vector autoregression(SVAR) framework comprising output, nominal interest rate and inflation. Common and country-specific supply, demand and nominal shocks of each G7 country are identified, and the corresponding shock...

In order to identify structural shocks that affect economic variables, restrictions need to be imposed on the parameters of structural vector autoregressive (SVAR) models. Economic theory is the primary source of such restrictions. However, only over-identifying restrictions can be tested with...

This paper examines the interactions between money, consumer prices and commodity prices at a global level from 1970 to 2008. Using aggregated data for major OECD countries and a cointegrating VAR framework, we are able to establish long run and short run relationships among these variables...

We develop a structural vector autoregressive framework that combines external instruments and heteroskedasticity for identification of monetary policy shocks. We show that exploiting both types of information sharpens structural inference, allows testing the relevance and exogeneity condition...

We study the dynamic impact of Covid-19, economic mobility, and containment policy shocks. We use Bayesian panel structural vector autoregressions with daily data for 44 countries, identified through sign and zero restrictions. Incidence and mobility shocks raise cases and deaths significantly...

We develop a vector autoregressive framework for combining the information in an external instrument with the information in the second moments of the data to identify latent monetary shocks in the United States. We show that the framework improves the identification of the structural model and...

We develop a vector autoregressive framework that combines an external instrument and heteroskedasticity for the identification of monetary policy shocks. We show that exploiting both types of information sharpens structural inference, allows testing both the relevance and exogeneity condition...

The dollar is a safe-haven currency and appreciates when global risk goes up. We investigate the dollar’s role for the transmission of global risk to the world economy within a Bayesian proxy structural vectorautoregressive model. We identify global risk shocks using high-frequency asset-price...

We develop a two-country business-cycle model of the US and the rest of the world with dollar dominance in trade invoicing, in cross-border credit, and in safe assets. The interplay between these elements - dollar trinity - rationalizes salient features of the Global Financial Cycle in the data:...