This paper develops a two-country DSGE model for a monetary union in which each country is populated by two types of households - savers and borrowers - and two types of production sectors - a consumption goods sector and a housing sector. Households trade nominal private debt in equilibrium,...

Many studies have documented disparities in the regional responses to monetary policy shocks. However, because of computational issues, the literature has often neglected the richest level of disaggregation: the city. In this paper, we estimate the city-level responses to monetary policy shocks...

We estimate a panel VAR model for the euro area to quantitatively assess how the uneven recourse of national banking systems in the euro area to the ECB's unconventional refinancing operations that led to the accumulation of large TARGET2 balances, has contributed to the propagation of different...

We estimate a panel VAR model for the euro area to quantitatively asses the contribution of the TARGET2 system to the propagation of different types of structural economic shocks as well as to the historical evolution of aggregate economic activity in euro area member countries. Our results...

The highly dynamic nature of the COVID-19 crisis poses an unprecedented challenge to policy makers around the world to take appropriate income-stabilizing countermeasures. To properly design such policy measures, it is important to quantify their effects in real-time. However, data on the...

We study the comovement of international business cycles in a time series clustering model with regime-switching. We extend the framework of Hamilton and Owyang (2012) to include time-varying transition probabilities to determine what drives similarities in business cycle turning points. We find...

This paper employs a panel vector autoregressive model for the member countries of the Euro Area to explore the role of banks during the slump of the real economy that followed the financial crisis. In particular, we seek to quantify the macroeconomic effects of adverse loan supply shocks, which...

Recent studies using long-run restrictions question the validity of the technology-driven real business cycle hypothesis. We propose an alternative identification that maximizes the contribution of technology shocks to the forecast-error variance of labor productivity at a long, but finite,...

We incorporate learning in a standard dynamic stochastic general equilibrium model along two empirically-supported dimensions. First, we assume that agents cannot directly observe the individual components of the productivity shock and instead must conduct signal extraction exercises and update...

We address the identification of low-frequency macroeconomic shocks, such as technology, in Structural Vector Autoregressions. Whilst identification issues with long-run restrictions are well documented, we demonstrate that the recent attempt to overcome said issues using the Max-Share approach...