Showing 1 - 5 of 5
In this paper we extend the stationarity test proposed by Kurozumi and Tanaka (2010) for reducing size distortion with one structural break. We find the bias up to the order of 1/T for four types of models containing structural breaks. The simulations on finite samples show a reduction of size...
Persistent link: https://www.econbiz.de/10010607107
In this paper a modification of the Busetti and Harvey (2001) test with structural break at unknown time is proposed. As the stationarity test with a super-consistent break date estimator is effective under large breaks and the infimum-test is effective under small breaks, although it has...
Persistent link: https://www.econbiz.de/10010812375
In this paper we propose tests based on GLS-detrending for testing the null hypothesis of deterministic seasonality. Unlike existing tests for deterministic seasonality, our tests do not suffer from asymptotic size distortions under near integration. We also investigate the behavior of the...
Persistent link: https://www.econbiz.de/10010764503
In this paper we extend the stationarity test proposed by Kurozumi and Tanaka (2010) to reduce size distortion with one structural break in data generating process. We nd the bias up to the order of 1=T for four types of models containing structural breaks. Simulations on fininite samples show a...
Persistent link: https://www.econbiz.de/10010712504
In this paperwe investigate the behavior of stationarity tests proposed by Muller (2005) and Harris et al. (2007) with uncertainty over the trend and/or initial condition. As dierent tests are e cient for dierent magnitudes of local trend and initial condition, following Harvey et al. (2012) we...
Persistent link: https://www.econbiz.de/10010712505