This paper analyses impulse response functions in the context of vector fractionally integrated time series. We derive analytically the restrictions required to identify the structural-form system. As an illustration of the recommended procedure, we also carry out an empirical application based...

We utilize a stochastic volatility model to analyse the possible effects of inflation targeting on the trade-off between output gap variability and inflation variability. We find that the adoption of inflation targets (in New Zealand, Australia, Canada, the UK, Sweden and Finland) might result...

This paper re-examines the relationship between stock market development and economic growth. It provides a theoretical basis for establishing the channel through which stock markets affect economic growth in the long run. It examines the hypothesis of endogenous growth models that financial...

This paper argues that persistence is not an invariant feature of a time series, but depends on the context in which the series is used: as the parameters of any dynamic model are defined relative to a particular information set, any change in the set of conditioning variables might affect the...

This paper analyzes the conditions under which power gains can be achieved using the Covariate Augmented Dickey-Fuller test (CADF) rather than the conventional Augmented Dickey-Fuller (ADF), and argues that this method has the advantage, relative to univariate unit root tests, of increasing...

In this paper we examine aggregate money demand relationships in five industrial countries using a two-step strategy for testing the null hypothesis of no cointegration against alternatives that are fractionally cointegrated. Fractional cointegration would imply that, although there exists a...

This paper analyses the effects of fiscal shocks using a two-country macroeconomic model for output, labour input, government spending and relative prices which provides the orthogonality restrictions for obtaining the structural shocks. Dynamic simulation techniques are then applied, in...

This paper proposes a very general time series framework to capture the long-run behaviour of financial series. The suggested model includes linear and non-linear time trends, and stationary and nonstationary processes based on integer and/or fractional degrees of differentiation. Moreover, the...