This paper examines the time varying impact of technology news shocks on the U.S. economy during the Post-World War II era using a structural time varying parameter vector autoregressive (TVP-VAR) model. The identification restrictions are derived froma standard new Keynesian dynamic stochastic...

In this paper I assess the ability of Bayesian vector autoregressions (BVARs) and dynamic stochastic general equilibrium (DSGE) models of different size to forecast comovements of major macroeconomic series in the euro area. Both approaches are compared to unrestricted VARs in terms of...

This paper provides novel evidence on the time varying impact of government spending shocks on output in Germany over the years 1970 to 2013. In a first step, I use an expectations-augmented vector autoregressive model with time varying parameters (TVP-VAR) to show that fiscal multipliers are...

This paper explores the relation between stock prices and the current account for 17 OECD countries in 1980-2007. I use a panel vector autoregression (VAR) to compare the effects of stock price shocks to those originating from monetary policy and exchange rates. While monetary policy shocks have...

I investigate the transmission of U.S. stock price shocks to real activity and prices in G-7 countries using a multicountry vector autoregressive (VAR) model. I achieve identification by imposing a small number of sign restrictions on impulse responses, while controlling for monetary policy,...

I use a Bayesian vector autoregressive (VAR) model to investigate the impact of monetary and technology shocks on the euro area stock market in 1987-2005. I find an important role for technology shocks, but not monetary shocks, in explaining variations in real stock prices. The identification...

We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and international) for the years 1998 to 2013. We explicitly use the ragged-edge data structure and consider the different information sets faced by a regional forecaster within each...