The Wald test for linear restrictions on cointegrating vectors is compared infinite samples using the Monte Carlo method. The Wald test within the vector error-correction based methods of Bewley et al. (1994) and of Johansen (1991), the canonical cointegration method of Park (1992), the dynamic ordinary least squares method of Phillips and Loretan (1991), Saikkonen (1991) and Stock and Watson (1993), the fully modified ordinary least squares method of Phillips and Hansen (1990), and the band spectral techniques of Phillips (1991) are considered. In terms of test size, Johansen's method seems to be preferred, and in terms of test power it is Park's and Phillips'. However, the relatively poor results in the context of cointegrating regression...
This paper deals with estimation and testing for cointegration when deterministic trends are present...
In this article ten cointegration tests based on residuals of cointegrating equation are compared on...
The small sample performance of Granger causality tests under different model dimensions, degree of ...
The Wald test for linear restrictions on cointegrating vectors is compared in finite samples using t...
This paper considers computer intensive methods for inference on cointegrating vectors in maximum li...
This paper considers computer intensive methods for inference on cointegrating vectors in maximum li...
The small sample performance of Granger causality tests under different model dimensions, degree of ...
When dealing with time series that are integrated of order one, the concept of cointegration becomes...
When dealing with time series that are integrated of order one, the concept of cointegration becomes...
The aim of this paper is to compare the relative performance of several tests for the null hypothesi...
This paper develops new methods for determining the cointegration rank in a nonstationary fractional...
This paper develops new methods for determining the cointegration rank in a nonstationary fractional...
This paper develops new methods for determining the cointegration rank in a nonstationary fractional...
This paper reports on the result of a Monte Carlo study. The latter investigates the performance of ...
The usual Wald test for the Granger non-causality in cointegrated vector autoregressive (VAR) proces...
This paper deals with estimation and testing for cointegration when deterministic trends are present...
In this article ten cointegration tests based on residuals of cointegrating equation are compared on...
The small sample performance of Granger causality tests under different model dimensions, degree of ...
The Wald test for linear restrictions on cointegrating vectors is compared in finite samples using t...
This paper considers computer intensive methods for inference on cointegrating vectors in maximum li...
This paper considers computer intensive methods for inference on cointegrating vectors in maximum li...
The small sample performance of Granger causality tests under different model dimensions, degree of ...
When dealing with time series that are integrated of order one, the concept of cointegration becomes...
When dealing with time series that are integrated of order one, the concept of cointegration becomes...
The aim of this paper is to compare the relative performance of several tests for the null hypothesi...
This paper develops new methods for determining the cointegration rank in a nonstationary fractional...
This paper develops new methods for determining the cointegration rank in a nonstationary fractional...
This paper develops new methods for determining the cointegration rank in a nonstationary fractional...
This paper reports on the result of a Monte Carlo study. The latter investigates the performance of ...
The usual Wald test for the Granger non-causality in cointegrated vector autoregressive (VAR) proces...
This paper deals with estimation and testing for cointegration when deterministic trends are present...
In this article ten cointegration tests based on residuals of cointegrating equation are compared on...
The small sample performance of Granger causality tests under different model dimensions, degree of ...