We show that the use of generalized least squares (GLS) detrending procedures leads to important empirical power gains compared to ordinary least squares (OLS) detrend- ing method when testing the null hypothesis of unit root for bounded processes. The non-centrality parameter that is used in...

We show that the use of generalized least squares (GLS) detrending procedures leads to important empirical power gains compared to ordinary least squares (OLS) detrend- ing method when testing the null hypothesis of unit root for bounded processes. The non-centrality parameter that is used in...

We show that the use of generalized least squares (GLS-)detrending procedures with bound-specific non-centrality parameter leads to important empirical power gains compared to using the ordinary least squares (OLS-)detrending method when testing the null hypothesis of unit root for bounded...

This paper studies the problem of unit root testing in the presence of multiple structural changes and common dynamic factors. Structural breaks represent infrequent regime shifts, while dynamic factors capture common shocks underlying the comovement of economic time series. We examine the...

Several unit root tests in panel data have recently been proposed. The test developed by Harris and Tzavalis (1999 JoE) performs particularly well when the time dimension is moderate in relation to the cross-section dimension. However, in common with the traditional tests designed for the...

This paper tests hysteresis effects in unemployment using panel data for 19 Organization for Economic Co-operation and Development (OECD) countries covering the period 1956-2001. The tests exploit the cross-sectional variations of the series, and additionally, allow for a different number of...

The authors test hysteresis versus the natural rate hypothesis in unemployment using panel data for transition countries covering the period 1991:1-2003:11. The advantages of the stationarity tests applied is that they exploit the cross-section variations of the series and, additionally, allow...