1992
DOI: 10.1111/j.1468-0084.1992.tb00005.x
|View full text |Cite
|
Sign up to set email alerts
|

The Power of Cointegration Tests

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

7
257
0
2

Year Published

1994
1994
2024
2024

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 983 publications
(284 citation statements)
references
References 35 publications
7
257
0
2
Order By: Relevance
“…The presence of cointegration is assessed upon the stationarity of the residuals obtained from the long-term relationship ). We also make use of the error correction term as a test of cointegration as Kremers et al (1992) argue that it is more powerful than the residual-based Dickey-Fuller test. Furthermore, we cross-check cointegration using Johansen's trace statistics.…”
Section: Monetary Equilibriummentioning
confidence: 99%
“…The presence of cointegration is assessed upon the stationarity of the residuals obtained from the long-term relationship ). We also make use of the error correction term as a test of cointegration as Kremers et al (1992) argue that it is more powerful than the residual-based Dickey-Fuller test. Furthermore, we cross-check cointegration using Johansen's trace statistics.…”
Section: Monetary Equilibriummentioning
confidence: 99%
“…If the residuals are stationary, then (2) represents a cointegrating relationship. This procedure, though simple, may have poor finite-sample properties because it generally does not use all available information on dynamics efficiently; see Banerjee, Dolado, Hendry, and Smith (1986) and Kremers, Ericsson, and Dolado (1992). For comparison with (5) and (7) [and (10) and (14) T , R 2 ,3, and dw are the sample size of the estimation period, the squared multiple correlation coefficient, the estimated equation standard error, and the Durbin-Watson statistic respectively; and the coefficients are estimated by least squares.…”
Section: The Next Row Inmentioning
confidence: 99%
“…However, there are some drawbacks in the residual-based approach. First, they tend to lack power as they fail to exploit all the available information about the joint dynamic interactions of the variables (Kremers et al, 1992). Second, the finite-sample bias of the OLS estimator of the cointegrating parameter can be severe even for large samples (Ellison and Satchell, 1993).…”
Section: The Present Value Relationmentioning
confidence: 99%