1992
DOI: 10.1016/0304-4076(92)90090-e
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The power problems of unit root test in time series with autoregressive errors

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Cited by 342 publications
(157 citation statements)
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“…However, the method presented above has very low power if the alternative is an AR process with the roots close to the unit circle (Campbell and Perron, 1991;DeJong et al, 1992), but also if they are of a fractional form (Diebold and Rudebusch, 1991;Hassler and Wolters, 1994;Lee and Schmidt, 1996). 4 Hence, we also use as a measure of persistence the fractional differencing parameter d, as described in Section 2.…”
Section: [Insert Figure 1 About Here]mentioning
confidence: 99%
“…However, the method presented above has very low power if the alternative is an AR process with the roots close to the unit circle (Campbell and Perron, 1991;DeJong et al, 1992), but also if they are of a fractional form (Diebold and Rudebusch, 1991;Hassler and Wolters, 1994;Lee and Schmidt, 1996). 4 Hence, we also use as a measure of persistence the fractional differencing parameter d, as described in Section 2.…”
Section: [Insert Figure 1 About Here]mentioning
confidence: 99%
“…In each of these models, the smallest value of the Akaike information criterion and the Schwarz criterion point to the optimal lag length. The Akaike information criterion and the Schwarz criterion are introduced to make the choice (DeJong et al, 1992, Grasa, 1989, Gujarati, 2003, Maddala and Kim, 1998. Using VAR estimates, the optimal lag length can be determined by comparing the Akaike information criterion (AIC) and the Schwarz criterion (SC) (Grasa, 1989).…”
Section: Selecting Optimal Lag Length Using Vector Autoregression Modelmentioning
confidence: 99%
“…Moreover, the PP and ADF tests have low power when AR root is close to 1 (Cochrane 1991). Thus, the alternative hypothesis could not accept when the sample size is small (DeJong et al 1992). In addition, when trend adds to the regression in these unit root tests, the power of such tests reduces, therefore including only the constant in the regression has more power than a test that includes both an intercept and a trend.…”
Section: Methodsmentioning
confidence: 99%