Identification of structural VARs using sign restrictions has become increasingly popular in the academic literature. This paper (i) argues that identification of shocks can benefit from introducing a global dimension, and (ii) shows that summarising information by the median of the available...

Projected demographic changes in industrialized countries will reduce the share of the working-age population. Analyses based on standard OLG models predict that these changes will increase the capital-labor ratio. Hence, rates of return to capital decrease and wages increase with adverse...

This paper builds a macro-prudential tool designed to assess whether the banking sector is adequately prepared to orderly withstand losses resulting from normal or stressed macroeconomic and micro-economic scenarios. The link between the banking sector and the real sector is established via the...

Building on Beaudry, Nam and Wang (2011) - hereafter BNW -, we use survey data on consumer sentiment in order to identify the causal effects of confidence shocks on real economic activity in a selection of advanced economies. Starting from a set of closed-economy VAR models, we show that these...

The purpose of the paper is to develop a Regime-Switching Global Vector Autoregressive (RS-GVAR) model. The RS-GVAR model allows for recurring or non-recurring structural changes in all or a subset of countries. It can be used to generate regime-dependent impulse response functions which are...

This paper estimates and solves a multi-country version of the standard DSGE New Keynesian (NK) model. The country-specific models include a Phillips curve determining inflation, an IS curve determining output, a Taylor Rule determining interest rates, and a real effective exchange rate...

The financial crisis of 2008, which started with an initially well-defined epicenter focused on mortgage backed securities (MBS), has been cascading into a global economic recession, whose increasing severity and uncertain duration has led and is continuing to lead to massive losses and damage...