In this paper we examine linkages across non-energy commodity price developments by means of a factor-augmented VAR model (FAVAR). From a set of non-energy commodity price series, we extract two factors, which we identify as common trends in metals and a food prices. These factors are included...

In this paper we examine linkages across non-energy commodity price developments by means of a factor-augmented VAR model (FAVAR). From a set of non-energy commodity price series, we extract two factors, which we identify as common trends in metals and a food prices. These factors are included...

This paper provides empirical evidence showing that smaller countries tend to have more volatile government spending for a sample of 160 countries from 1960 to 2000. We argue that the larger size of a country decreases the volatility of government spending because it acts as an insurance against...

We bring together the spatial and global vector autoregressive (GVAR) classes of econometric models by providing a detailed methodological review of where they meet in terms of structure, interpretation, and estimation methods. We discuss the structure of cross-section connectivity (weight)...

This paper compares the role of monetary and fiscal policy shocks in advanced and emerging economies. Using a model with a hierarchical structure we capture the variability of GDP response to policy shocks both between and within the groups of advanced and emerging countries. Our results provide...

The global surge in independent fiscal councils (IFCs) raises three related questions: How can IFCs improve the conduct of fiscal policy? Are they simultaneously desirable for voters and elected policymakers? And are they resilient to changes in political conditions? We build a model in which...

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...

This paper aims to illustrate how a Mixed-Cross-Section Global Vector Autoregressive (MCS-GVAR) model can be set up and solved for the purpose of forecasting and scenario simulation. The application involves two cross-sections: sovereigns and banks for which we model their credit default swap...

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...