2009
DOI: 10.1017/s0266466609990247
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A Powerful Test of the Autoregressive Unit Root Hypothesis Based on a Tuning Parameter Free Statistic

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 22 publications
(21 citation statements)
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“…d is fixed to 0.1 as recommended in Nielsen (2009). For formula and asymptotic distribution of MZ s t test see CT.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…d is fixed to 0.1 as recommended in Nielsen (2009). For formula and asymptotic distribution of MZ s t test see CT.…”
Section: Resultsmentioning
confidence: 99%
“…So as to modify the Variance Ratio test (Nielsen, 2009) statistic we first need the fractional partial sum operator for some d > 0:…”
Section: Variance Ratio Test Under Nonstationary Volatilitymentioning
confidence: 99%
See 1 more Smart Citation
“…However, an important di¤erence between d 1 and tuning parameters is that d 1 appears in the asymptotic distribution for n;r (d 1 ). This opens up the possibility of …nding a value of d 1 for which the corresponding test has desirable properties, and Nielsen (2008) argues in favor of d 1 = 0:1 in an asymptotic local power analysis of the univariate variance ratio test. Simulation evidence in section 5 below also supports the choice of d 1 = 0:1 compared to d 1 = 1.…”
Section: Assumptionmentioning
confidence: 99%
“…The idea of the test was already written in Nielsen (2008) in the univariate case and was thought as nonparametric unit root test. The test could also been adopted in the fractional context as a test for the integration parameter d, as it doesn't assume the knowledge of d to calculate the test statistic.…”
Section: Introductionmentioning
confidence: 99%