This paper addresses how to enhance the role of data in structural model design by utilizing structural breaks and superfluous information as auxiliary tools of exact identification. To illustrate the procedure and to study the simultaneous interplay between financial variables and the real side...

This paper addresses how to enhance the role of data in structural model design by utilizing structural breaks and superfluous information as auxiliary tools of exact identification. To illustrate the procedure and to study the simultaneous interplay between financial variables and the real side...

We find empirical evidence of a financial accelerator using a data based procedure of Structural Model Design. Credit to firms, asset prices and aggregate economic activity interact over the business cycle in our empirical model of a dynamic economy. Furthermore, the interdependence between...

This document introduces the R library BGVAR to estimate Bayesian global vector autoregressions (GVAR) with shrinkage priors and stochastic volatility. The Bayesian treatment of GVARs allows us to include large information sets by mitigating issues related to overfitting. This improves inference...

We generalise the impulse response function of Elder (2003) by considering indirect volatility spillovers for a VAR model with multivariate GARCH-in-Mean. The extension is relevant for variables that exhibit direct and indirect volatility spillovers (Tsiaplias and Chua, in press).

This paper employs unit-root tests that allow for two endogenous breaks as suggested by Lumdaine and Papell (1997) and Lee and Strazicich (2003) to investigate the returns on the S&P/Case-Shiller Home Price Indices. The tests that assume structural stability provide no evidence against the...