Journal article | Zeitschriftenartikel

Consistent estimation of a general nonparametric regression function in time series

We propose an estimator of the conditional distribution of Xt|Xt−1,Xt−2,…, and the corresponding regression function E(Xt|Xt−1,Xt−2,…), where the conditioning set is of infinite order. We establish consistency of our estimator under stationarity and ergodicity conditions plus a mild smoothness condition.

Consistent estimation of a general nonparametric regression function in time series

Urheber*in: Linton, Oliver; Sancetta, Alessio

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Extent
Seite(n): 70-78
Language
Englisch
Notes
Status: Postprint; begutachtet (peer reviewed)

Bibliographic citation
Journal of Econometrics, 152(1)

Classification
Hypothesis Testing: General
Subject
Wirtschaft
Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Regression

Event
Geistige Schöpfung
(who)
Linton, Oliver
Sancetta, Alessio
Event
Veröffentlichung
(where)
Niederlande
(when)
2009

DOI
URN
urn:nbn:de:0168-ssoar-233155
Rights
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Last update
21.06.2024, 4:26 PM CEST

Data provider

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Object type

  • Zeitschriftenartikel

Associated

  • Linton, Oliver
  • Sancetta, Alessio

Time of origin

  • 2009

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