The issue of the size of fiscal spillovers in the euro area has gained prominence recently, given proposals to coordinate fiscal policies that aim at achieving an appropriate “aggregate fiscal stance”, consistent with economic and monetary policy conditions. Given the heterogeneous fiscal...

A growing empirical literature has shown, based on structural vector autoregressions (SVARs) identified through sign restrictions, that unconventional monetary policies implemented after the outbreak of the Great Financial Crisis (GFC) had expansionary macroeconomic effects. In a recent paper,...

Using a dataset that merges information of loan applications from the Spanish CCR with firms' financial accounts, we find that during the great recession access to credit of firms with weak balance sheets deteriorated relative to other firms. However, contrary to the financial accelerator...

This paper studies the dynamics of the propagation of regional business cycle shocks in Europe and uncovers new features of its underlying mechanisms. To address the lack of high frequency data at the regional level, we propose a new method to measure time-varying synchronization in small...

This paper brings together recent developments on the growth-at-risk methodology and the literature on the impact of macroprudential policy. For this purpose, I extend the recent proposals on the use of quantile regressions of GDP growth by including macrofinancial variables with early warning...

This paper proposes a Markov-switching framework to endogenously identify periods where economies are more likely to:(i) synchronously enter recessionary and expansionary phases, and (ii) follow independent business cycles. The reliability of the framework is validated with simulated data in...

We propose a new VAR identification scheme that enables us to disentangle immigration shocks from other macroeconomic shocks. Identification is achieved by imposing sign restrictions on Norwegian data over the period 1990Q1 - 2014Q2. The availability of a quarterly series for net immigration is...

The aim of this paper is to show the usefulness of Finite Mixture Markov Models (FMMMs) for regional analysis. FMMMs combine clustering techniques and Markov Switching models, providing a powerful methodological framework to jointly obtain business cycle datings and clusters of regions that...

We rely on a hierarchical volatility factor approach to estimate and decompose time-varying second moments of countries output growth into global, regional and idiosyncratic contributions. We document a “global moderation” of international business cycles, defined as a persistent decline in...

Modern DSGE models are microfounded and have deep parameters that should be invariant to changes in economic policy, so in principle they are not subject to the Lucas critique. But the literature has already established that misspecification issues also cause parameter instability after policy...