Arbeitspapier

Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors

This paper summarizes recent developments in non- and semiparametric regres- sion with stationary fractional time series errors, where the error process may be short-range, long-range dependent or antipersistent. The trend function in this model is estimated nonparametrically, while the dependence structure of the error process is estimated by approximate maximum likelihood. Asymptotic properties of these estimators are described briefly. The focus is on describing the developments of bandwidth selection in this context based on the iterative plug-in idea (Gasser et al., 1991) and some detailed computational aspects. Applications in the framework of the SEMIFAR (semiparametric fractional autoregressive) model (Beran, 1999) illustrate the practical usefulness of the methods described here.

Sprache
Englisch

Erschienen in
Series: CoFE Discussion Paper ; No. 02/13

Klassifikation
Wirtschaft
Thema
Nonparametric regression
FARIMA error processes
bandwidth selection
iterative plug-in
SEMIFAR model
Regression
Nichtparametrisches Verfahren
Zeitreihenanalyse
Theorie
Statistischer Fehler

Ereignis
Geistige Schöpfung
(wer)
Beran, Jan
Feng, Yuanhua
Ereignis
Veröffentlichung
(wer)
University of Konstanz, Center of Finance and Econometrics (CoFE)
(wo)
Konstanz
(wann)
2002

Handle
URN
urn:nbn:de:bsz:352-opus-8384
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.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Beran, Jan
  • Feng, Yuanhua
  • University of Konstanz, Center of Finance and Econometrics (CoFE)

Entstanden

  • 2002

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