Cointegration and Unit Root Tests: A Fully Bayesian Approach

Unit Root and Cointegration Tests

Unit Root and Cointegration Tests with Wavelets∗

This paper develops a wavelet (spectral) approach to test the presence of a unit root in a stochastic process. The wavelet approach is appealing, since it is based directly on the different behavior of the spectra of a unit root process and that of a short memory stationary process. By decomposing the variance (energy) of the underlying process into the variance of its low frequency components ...

Robust Unit Root and Cointegration Rank Tests for Panels and Large Systems

------------------------------------------------------------------------------------------------------------------Abstract: This study develops new tests for unit roots and cointegration rank in heterogeneous time series panels using methods that are robust to the presence of both incidental trends and cross sectional dependency of unknown form. Furthermore, the procedures do not require a choi...

Financial development and economic growth: evidence from panel unit root and cointegration tests

In this paper we investigate the long run relationship between financial depth and economic growth, trying to utilize the data in the most efficient manner via panel unit root tests and panel cointegration analysis. In addition, we use threshold cointegration tests, and dynamic panel data estimation for a panel-based vector error correction model. The long run relationship is estimated using fu...

Bootstrap Unit Root Tests

We consider the bootstrap unit root tests based on finite order autoregressive integrated models driven by iid innovations, with or without deterministic time trends. A general methodology is developed to approximate asymptotic distributions for the models driven by integrated time series, and used to obtain asymptotic expansions for the Dickey–Fuller unit root tests. The second-order terms in ...