The research of Leybourne and Newbold (2003) is extended to examine the finite-sample size of the weighted symmetric cointegration test when applied to independent unit root processes subject to structural change. The results obtained show the weighted symmetric cointegration test to be more...

Using Monte Carlo simulation, the size of the DF-GLS test is examined when there is a neglected level or trend break under the null hypothesis. Unlike the original DF test, the DF-GLS test has size which is not distorted/inflated.

This article proposes a modified version of the Langrange Multiplier (LM) test for a unit root, which is efficient and avoids arbitrary estimation of the levels regression intercept. If required, this intercept can be estimated indirectly in the second-step autoregression. In addition to...

The finite-sample size properties of smooth transition unit root tests are examined when applied to unit root processes subject to breaks in either level or drift. In contrast to the weighted symmetric and recursively mean-adjusted unit root tests which have been shown to be robust in these...

A class of smooth transition momentum-threshold autoregressive (ST-MTAR) tests is proposed to allow testing of the unit root hypothesis against an alternative of asymmetric adjustment about a smooth nonlinear trend. Monte-Carlo simulation is employed to derive finite-sample critical values for...

This article proposes a modified version of the LM unit root test, which is efficient and independent from the levels regression intercept, under both null and alternative hypotheses. Simulated critical values are provided.

In this paper we introduce a new test of the null hypothesis of nocointegration between a pair of time series. For a very simple generating model, ourtest compares favourably with the Engle-Granger/Dickey-Fuller test and the Johansentrace test. Indeed, shortcomings of the former motivated the...