This Paper analyses the empirical relationship between credit default swap, bond and stock markets during the period 2000-02. Focusing on the intertemporal comovement, we examine weekly and daily lead-lag relationships in a vector autoregressive model and the adjustment between markets caused by...

In this Paper, we study the short-run and long-run comovement between prices and real activity in the G7 countries during the postwar period using VAR forecast errors and frequency domain filters. We find that there are several patterns of the correlation coefficients that are the same in all...

This paper examines growth in output per person in 17 OECD countries from the late nineteenth century to 1989 considering the possibility of several breaks in trend. In all cases the unit root hypothesis is rejected in favour of a segmented trend stationary alternative. 1951-73 is shown to be an...

This Paper aims at improving the understanding of the transmission of shocks across countries and how this transmission may have changed over time. By employing a model that allows for parameter changes across regimes, we show that transmission of shocks from the US to European countries may...

This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models. We consider the estimation of linearized DSGE models, the evaluation of models based on Bayesian model checking, posterior odds comparisons,...

It is argued that standard impulse response analysis based on vector autoregressive models has a number of shortcomings. Although the impulse responses are estimated quantities, measures for sampling variability such as confidence intervals are often not provided. If confidence intervals are...

We examine a two country model of the EU and the US. Each has a small sector of the labour and product markets in which there is wage/price rigidity, but otherwise enjoys flexible wages and prices with a one quarter information lag. Using a VAR to represent the data, we find the model as a whole...