Showing 1 - 10 of 95
This paper develops a simple test for the null hypothesis of stationarity in heterogeneous panel data with cross-sectional dependence in the form of a common factor in the disturbance. We do not estimate the common factor but mop-up its effect by employing the same method as the one proposed in...
Persistent link: https://www.econbiz.de/10005675541
This paper develops a simple test for the null hypothesis of stationarity in heterogeneous panel data with cross-sectional dependence in the form of a common factor in the disturbance. We do not estimate the common factor but mop-up its effect by employing the same method as the one proposed in...
Persistent link: https://www.econbiz.de/10005748661
This paper develops a simple test for the null hypothesis of no unit root for panel data with cross-sectional dependence in the form of a common factor in the disturbance. We do not estimate the common factor but mop-up its effect by employing the same method as the one proposed in Pesaran...
Persistent link: https://www.econbiz.de/10009645218
In this paper, we test the Prebish–Singer (PS) hypothesis, which states that real commodity prices decline in the long run, using two recent powerful panel data stationarity tests accounting for cross-sectional dependence and a structural break. We find that the hypothesis cannot be rejected...
Persistent link: https://www.econbiz.de/10010594094
This paper proposes the use of covariate unit root tests and the exploitation of the information on the cross-sectional dependence when the panel data null hypothesis of a unit root is rejected or when N is relatively small in order to help the interpretation of the test results. In particular,...
Persistent link: https://www.econbiz.de/10010614078
In this paper, we propose new cointegration tests for single equations and panels. In both cases, the asymptotic distributions of the tests, which are derived with N fixed and T going to infinity, are shown to be standard normals. The effects of serial correlation and cross-sectional dependence...
Persistent link: https://www.econbiz.de/10010699796
In this paper we propose residual-based tests for the null hypothesis of cointegration with a structural break against the alternative of no cointegration. The Lagrange Multiplier (LM) test is proposed and its limiting distribution is obtained for the case in which the timing of a structural...
Persistent link: https://www.econbiz.de/10005511909
Persistent link: https://www.econbiz.de/10005411720
In this paper we propose residual-based tests for the null hypothesis of cointegration with structural breaks against the alternative of no cointegration. The Lagrange Multiplier test is proposed and its limiting distribution is obtained for the case in which the timing of a structural break is...
Persistent link: https://www.econbiz.de/10005467474
This study proposes constructing a confidence set for the date of a one-time structural change using a point optimal test. Following Elliott and Mler (2007), we first construct a test for the break date that maximizes the weighted average of the power function. The confidence set is then...
Persistent link: https://www.econbiz.de/10011166884