This paper aims to illustrate how weight matrices that are needed to construct foreign variable vectors in Global Vector Autoregressive (GVAR) models can be estimated jointly with the GVAR's parameters. An application to real GDP and consumption expenditure price inflation as well as a...

This paper provides an overview of the panel VAR models used in macroeconomics and finance. It discusses what are their distinctive features, what they are used for, and how they can be derived from economic theory. It also describes how they are estimated and how shock identification is...

A researcher is interested in a set of variables that he wants to model with a vector auto-regression and he has a dataset with more variables. Which variables from the dataset to include in the VAR, in addition to the variables of interest? This question arises in many applications of VARs, in...

This paper describes an algorithm to compute the distribution of conditional forecasts, i.e. projections of a set of variables of interest on future paths of some other variables, in dynamic systems. The algorithm is based on Kalman filtering methods and is computationally viable for large...

This paper uses a panel VAR (PVAR) approach to estimating, analysing, and forecasting price dynamics in four different sectors – industry, services, construction, and agriculture – across the four largest euro area economies – Germany, France, Italy and Spain – and the euro area as a...

This paper aims to shed light on the role of credit supply shocks in euro area countries during the recent pre-crisis, bust, and post-crisis periods. A time-varying parameter vector autoregression (TVP-VAR) with stochastic volatility à la Primiceri (2005) is estimated for each country, and the...

The Euro Plus Pact was approved by 23 EU countries in March 2011 and came into force shortly afterwards. The Pact stipulates a range of quantitative targets meant to strengthen cost competitiveness with the aim of preventing the accumulation of external financial imbalances. This paper uses...

This paper follows the Bayesian time-varying VAR approach with stochastic volatility developed by Primiceri (2005), to analyse whether the reaction of output and prices to interest rate and exchange rate shocks has changed across time (1996-2012) in the Polish economy. The empirical findings...

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)...

We propose a class of prior distributions that discipline the long-run behavior of Vector Autoregressions (VARs). These priors can be naturally elicited using economic theory, which provides guidance on the joint dynamics of macroeconomic time series in the long run. Our priors for the long run...