Abstract
For autoregressive processes with possibly infinite variance innovations, tests for unit roots are constructed. The limiting null distributions of the test statistics are standard normal both for finite variance innovations and for infinite variance innovations. The test statistics are the pivotal statistics of modified M-estimators in which the signs of regressors rather than the regressors themselves are used as instrumental variables in estimating unit roots. A Monte-Carlo experiment compares the proposed tests favorably with tests based on the OLSE and tests based on the M-estimators for several innovations.
| Original language | English |
|---|---|
| Pages (from-to) | 387-397 |
| Number of pages | 11 |
| Journal | Statistics and Probability Letters |
| Volume | 44 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Oct 1999 |
Bibliographical note
Funding Information:The authors appreciate the comments of a referee. This research is supported by a grant for women's university from Korea Ministry of Science and Technology.
Keywords
- Infinite variance error
- M-estimation
- Unit root test