The detection and location of additive outliers in integrated variables has attracted much attention recently because such outliers tend to affect unit root inference among other things. Most of these procedures have been developed for non-seasonal processes. However, the presence of seasonality...

Methods of inference based on a unit root assumption in the data are typically not robust to even small deviations from this assumption. In this paper, we propose robust procedures for a residual-based test of cointegration when the data are generated by a near unit root process. A Bonferroni...

This paper proposes a residual based cointegration test with improved power. Based on the idea of Hansen (1995) and Elliott & Jansson (2003) in the unit root testing case, stationary covariates are used to improve the power of the residual based Augmented Dickey Fuller (ADF) test. The asymptotic...

We propose a class of robust M tests for distribution symmetry of time series data. The proposed tests are robust to the estimation effect of replacing the unknown location parameter with its consistent estimator and are constructed by extending the M tests of Kuan and Lee (2006) and Lee (2007)...

The aim of this paper is to analyze the rate and level of Australian unemployment, and also their logarithms, in the period of 1960 to 1997, with special regard to the unit-root versus stationarity hypotheses. Theoretically, the level of unemployment, the rate of unemployment and the logarithm...

I propose a test of symmetry for a stationary time series based on the difference between the dispersion above the central tendency of the series with that below it. The test has many attractive features: it is applicable to dependent processes, it has a familiar form, it can be implemented...

Applied researchers often use tests based on contingency tables in preliminary data analysis and diagnostic testing. We show that many of such tests may be alternatively implemented by testing for coefficient restrictions in linear regression systems (as a rule, employing the Wald test). This...

We consider the problem of hypothesis testing in a modified version of the stochastic integration and cointegration framework of Harris, McCabe and Leybourne (2002). This nonlinear setup allows for volatility in excess of that catered for by the standard integration/cointegration paradigm...

Testing when a nuisance parameter is identified only under the alternative is problematic because the Likelihood Ratio test converges to a nonstandard distribution that may depend on unknown parameters. Examples include testing parameter stability in Structural Change and Threshold models. Our...

In the conduct of empirical macroeconomic research, unit root, cointegration, common cycle, and related tests statistics are often constructed using logged data, even though there is often no clear reason, at least from an empirical perspective, why logs should be used rather than levels....