We propose a new model in which relationship-specific supply and demand shocks are non-parametrically identified in bipartite data under mild assumptions. For example, separate heterogeneous supply shocks are identified for each firm to which a bank lends. We show that a simple estimator is...

This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008-09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earning call transcripts and a structural...

It depends. We reply to this question by providing novel empirical evidence about the US economy. We identify the impact of financial high-frequency shocks on macroeconomic variables by estimating mixed- and common frequency VARs. The results from the mixed-frequency VAR show that economic...

It depends. We reply to this question by providing novel empirical evidence about the US economy. We identify the impact of financial high-frequency shocks on macroeconomic variables by estimating mixed- and common frequency VARs. The results from the mixed-frequency VAR show that economic...

We propose a framework to identify a rich set of structural drivers of inflation in order to understand the role of the multiple and concomitant sources of the post-pandemic inflation surge. We specify a medium-sized structural Bayesian VAR on a comprehensive set of variables for the euro area...

We use a Bayesian Threshold Vector Autoregression model identified through sign and narrative restrictions to uncover non-linearities in the propagation of energy supply shocks. We find that the transmission of energy supply shocks on consumer prices is stronger in high-inflation regimes,...