This paper uses a vector autoregression model estimated with Bayesian methods to identify the effect of productivity news shocks on labour market variables by imposing that they are orthogonal to current technology but they explain future observed technology. In the aftermath of a positive news...

This paper identifies a precautionary banking liquidity shock via a set of sign, zero and forecast variance restrictions imposed. The shock proxies the reluctance of the banking sector to "lend" to the real economy induced by an exogenous change in financial intermediaries' preference for "high"...

This paper uses structural vector autoregressive models (SVARs) to show that the response of US stock prices to fiscal shocks changed in 1980. Over the period 1955-1979, an expansionary spending or revenue shock was associated with higher stock prices. After 1980, the response of stock prices to...

This paper proposes an empirical model which can be used to estimate the impact of changes in the volatility of shocks to US real activity on the UK economy. The proposed empirical model is a structural VAR where the volatility of structural shocks is time varying and is allowed to affect the...

The focus of this paper is on news-driven business cycles in small open economies. We make two significant contributions. First, we develop a small open economy model where the presence of financial frictions permits the replication of business cycle co-movements in response to news shocks....

We identify a 'risk news' shock in a vector autoregression (VAR), modifying Barsky and Sims's procedure, while incorporating sign restrictions to simultaneously identify monetary policy, technology and demand shocks. The VAR-identifed risk news shock is estimated to account for around 2%-12% of...