Abstract
A more powerful version of the augmented Dickey-Fuller test and a test that has trend stationarity as the null are applied to U.S. gross national product. Simulated critical values generated from plausible trend- and difference-stationary models are used to minimize possible finite-sample biases. The discriminatory power of the two tests is evaluated using alternative-specific rejection frequencies. For postwar quarterly data, these two tests do not provide a definite conclusion. When analyzing annual data over the 1869-1986 period, however, the unit-root null is rejected, but the trend-stationary null is not.
| Original language | English |
|---|---|
| Pages (from-to) | 68-73 |
| Journal | Journal of Business and Economic Statistics |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 1997 |
| Externally published | Yes |
Research Keywords
- Output persistence
- Sample-specific critical value
- Stationarity test
- Unit-root test
Policy Impact
- Cited in Policy Documents
Fingerprint
Dive into the research topics of 'Further investigation of the uncertain unit root in GNP'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver