We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting...

We use inflation and income growth expectations from the ECB Consumer Expectations Survey to measure the subjective expected pass-through of inflation to income in the main euro area countries. By aggregating consumers' responses to probabilistic questions, we obtain significantly higher...

This paper studies the dynamics of contagion across the banking, insurance and shadow banking sectors of 16 advanced economies in the period 2006-2018. We construct Granger causality-in-risk networks and introduce higher-order aggregate networks and temporal node centralities in an economic...

We propose a new measure of underlying inflation that informs, in real time, about asymmetric risks on the outlook of inflationary pressures. The asymmetries are generated through nonlinearities induced by economic activity. The new indicator is based on a multivariate regime-switching framework...

We use a Bayesian stochastic search variable selection structural VAR model to investigate the heterogeneous impact of housing demand shocks on the macro-economy and the role of house prices in the monetary policy transmission, across euro area countries. A novel set of identification...

This paper proposes mixed-frequency distributed-lag (MFDL) estimators of impulse response functions (IRFs) in a setup where (i) the shock of interest is observed, (ii) the impact variable of interest is observed at a lower frequency (as a temporally aggregated or sequentially sampled variable),...

Extending the data set used in Beyer (2009) from 2007 to 2017, we estimate I(1) and I(2) money demand models for euro area M3. Wefind that the elasticities in the money demand and the real wealth relations identified previously in Beyer (2009) have remained remarkably stable throughout the...

In this paper we develop a general framework to analyze state space models with timevarying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...

We propose an empirical framework to measure the degree of weakness of the global economy in real-time. It relies on nonlinear factor models designed to infer recessionary episodes of heterogeneous deepness, and fitted to the largest advanced economies (U.S., Euro Area, Japan, U.K., Canada and...

We study the effects of credit over the business cycle, distinguishing between expansions and contractions. We find that there is a growth and risk trade-off in the pace of credit growth over the business cycle. While rapid credit growth tends to be followed by deeper recessions, we also find...