Arbeitspapier
Semiparametric detection of changes in long range dependence
We consider changes in the degree of persistence of a process when the degree of persistence is characterized as the order of integration of a strongly dependent process. To avoid the risk of incorrectly specifing the data generating process we employ local Whittle estimates which uses only frequencies local at zero. The limit distribution of the test statistic under the null is not standard but it is well known in the literature. A Monte Carlo study shows that this inference procedure performs well in finite samples.
- Sprache
-
Englisch
- Erschienen in
-
Series: Working Paper ; No. 830
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- Thema
-
Long memory
persistence
break
local Whittle estimate
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Iacone, Fabrizio
Lazarova, Stepana
- Ereignis
-
Veröffentlichung
- (wer)
-
Queen Mary University of London, School of Economics and Finance
- (wo)
-
London
- (wann)
-
2017
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Iacone, Fabrizio
- Lazarova, Stepana
- Queen Mary University of London, School of Economics and Finance
Entstanden
- 2017
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