The existing literature on estimated structural News Driven Business Cycle (NDBC) models has focused almost exclusively on macroeconomic data and has largely ignored asset prices. In this paper, we present evidence that including data on asset prices in the estimation of a structural NDBC model...

Estimated DSGE models have become the standard workhorse model for empirically based macroeconomic analysis in recent years. In this paper, we present an estimated DSGE model for Denmark. The model has been estimated using Bayesian methods and a dataset consisting of 23 macroeconomic variables....

In this paper, we aim to compare the anatomy of the impact of the COVID-19 outbreak and the Great Financial Crisis (GFC) in the context of an emerging market economy. To this end, we develop a small open economy DSGE model with the Bernanke-Gertler-Gilchrist financial accelerator that features...

This paper investigates in a non-linear setting the impact on the real economy of frictions stemming from the financial sector. We develop a medium scale DSGE model with a banking sector where an occasionally binding constraint on banks' capital induces a relevant non-linearity. The model -...

We estimate a modified version of the "Financial Business Cycles" model originally developed by Iacoviello (2015) in order to investigate the role played by financial factors in driving the business cycle in the euro area. In the model, financial shocks such as borrower defaults, collateral...

Using Bayesian methods, I estimate a DSGE model where a recession is initiated by losses suffered by banks and exacerbated by their inability to extend credit to the real sector. The event triggering the recession has the workings of a redistribution shock: a small sector of the economy –...

We present an estimated dynamic stochastic general equilibrium model of stock market bubbles and business cycles using Bayesian methods. Bubbles emerge through a positive feedback loop mechanism supported by self-fulfilling beliefs. We identify a sentiment shock that drives the movements of...

We propose a methodology based on multiresolution analysis to decompose a time series in components classifi ed by their level of persistence. Using this decomposition to detect the layers with diff erent degrees of persistence in consumption growth, we provide empirical evidence that some of...

Over the last two decades the intensity of credit standards' tightening during economic contractions has exceeded their easing during expansions among euro area banks. This mechanism is fed by the boom-bust cycle of credit that, as much research has shown, is linked to financial instability with...