Set identification in Bayesian vector autoregression (VARs) is becoming increasingly popular while facing recent criticism about potentially unwanted prior dominance and underrepresented bounds of the identified set. This can lead to biased inference even in large samples. Common estimation...

We use a dynamic factor model to provide a semi-structural representation for 101 quarterly US macroeconomic series. We find that (i) the US economy is well described by a number of structural shocks between two and five. Focusing on the four-shock specification, we identify, using sign...

We solve a canonical, estimated, medium-sized, open-economy New Keynesian model, cast it into a small-scale population vector autoregression, and assess whether best-practice structural identifications detect textbook "overshooting" after a monetary policy hike-i.e., an instant real appreciation...

In an influential recent paper, Beaudry and Portier (2006) propose a sequential approach for identifying technological news shocks. Thereby, the correlation coefficient between news shocks of a short-run identification scheme and technology shocks of a long-run identification scheme in the VAR...

Recent empirical literature delivered, based on different structural VAR approaches, controversial results concerning the role of anticipated technology-news-shocks in business cycle fluctuations. We deal with this controversy and investigate (i) the extent to thich two prominent structural VAR...

We propose a new instrument to identify uncertainty shocks in a SVAR model with external instruments. The instrument is constructed by exploiting variations in the price of gold around events that capture periods of changes in uncertainty. The variations in the price of gold around the events...

We study the effects of news shocks on inventory accumulation in a structural VAR framework. We establish that inventories react strongly and positively to news about future increases in total factor productivity. Theory suggests that the transmission channel of news shocks to inventories works...

This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and...

This paper investigates the effects of government spending on key macroeconomic variables in Germany. It contributes to the ongoing debate on how to properly identify exogenous fiscal shocks in the data and on whether or not the government should intervene in the business cycle. Following Ramey...