ON DISTINGUISHING BETWEEN RANDOM WALK AND CHANGE IN THE MEAN ALTERNATIVES
We study test procedures that detect structural breaks in underlying data sequences. In particular, we wish to discriminate between different reasons for these changes, such as (1) shifting means, (2) random walk behavior, and (3) constant means but innovations switching from stationary to difference stationary behavior. Almost all procedures presently available in the literature are simultaneously sensitive to all three types of alternatives.
Year of publication: |
2009
|
---|---|
Authors: | Aue, Alexander ; Horváth, Lajos ; Hušková, Marie ; Ling, Shiqing |
Published in: |
Econometric Theory. - Cambridge University Press. - Vol. 25.2009, 02, p. 411-441
|
Publisher: |
Cambridge University Press |
Description of contents: | Abstract [journals.cambridge.org] |
Saved in:
Saved in favorites
Similar items by person
-
ON DISTINGUISHING BETWEEN RANDOM WALK AND CHANGE IN THE MEAN ALTERNATIVES
Aue, Alexander, (2009)
-
On distinguishing betweeen random walk and change in the mean alternatives
Aue, Alexander, (2009)
-
Segmenting mean-nonstationary time series via trending regressions
Aue, Alexander, (2012)
- More ...