Stationarity tests exhibit extreme size distortions if the observable process is stationary yet highly persistent. In this paper we provide a theoretical explanation for the size distortion of the KPSS test for DGPs with a broad range of first order autocorrelation coefficient. Considering a near-integrated, nearly stationary process we show that the asymptotic distribution of the test contains an additional term, which can potentially explain the amount of size distortion documented in previous simulation studies
We investigate the effects of outliers on the KPSS tests. We find that for nonstationary series outl...
We investigate the effects of outliers on the KPSS tests. We find that for nonstationary series outl...
We introduce a test for strict stationarity based on the fluctuations of the quantiles of the data, ...
Stationarity tests exhibit extreme size distortions if the observable process is stationary yet high...
Stationarity tests exhibit extreme size distortions if the observable process is stationary yet high...
September 2, 2009This paper proposes a new stationarity test based on the KPSS test with less size d...
In this paper, performance of the KPSS tests of Kwiatkowski et al. (Journal of Economics, 54, 159-78...
This thesis investigates through simulation why tests of unit root and stationarity occasionally res...
We propose automatic generalizations of the KPSS-test for the null hypothesis of stationarity of a u...
It is common in applied econometrics to test a highly persistent process under the null hypothesis a...
The KPSS test is very popular and used extensively by practitioners. The test considers two models u...
In this paper, we show that the widely used stationarity tests such as the KPSS test have power clos...
The KPSS test is very popular and used extensively by practitioners. The test considers two models u...
In the current paper, the finite-sample stability of various implementations of the KPSS test is stu...
We propose a (trend) stationarity test with a good finite sample size even when a process is (trend)...
We investigate the effects of outliers on the KPSS tests. We find that for nonstationary series outl...
We investigate the effects of outliers on the KPSS tests. We find that for nonstationary series outl...
We introduce a test for strict stationarity based on the fluctuations of the quantiles of the data, ...
Stationarity tests exhibit extreme size distortions if the observable process is stationary yet high...
Stationarity tests exhibit extreme size distortions if the observable process is stationary yet high...
September 2, 2009This paper proposes a new stationarity test based on the KPSS test with less size d...
In this paper, performance of the KPSS tests of Kwiatkowski et al. (Journal of Economics, 54, 159-78...
This thesis investigates through simulation why tests of unit root and stationarity occasionally res...
We propose automatic generalizations of the KPSS-test for the null hypothesis of stationarity of a u...
It is common in applied econometrics to test a highly persistent process under the null hypothesis a...
The KPSS test is very popular and used extensively by practitioners. The test considers two models u...
In this paper, we show that the widely used stationarity tests such as the KPSS test have power clos...
The KPSS test is very popular and used extensively by practitioners. The test considers two models u...
In the current paper, the finite-sample stability of various implementations of the KPSS test is stu...
We propose a (trend) stationarity test with a good finite sample size even when a process is (trend)...
We investigate the effects of outliers on the KPSS tests. We find that for nonstationary series outl...
We investigate the effects of outliers on the KPSS tests. We find that for nonstationary series outl...
We introduce a test for strict stationarity based on the fluctuations of the quantiles of the data, ...