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Nonparametric estimation from time series residuals

Robinson, Peter (1986) Nonparametric estimation from time series residuals. Cahiers du Centre d'études de Recherche Opérationnelle, 28 (1). pp. 197-208. ISSN 0008-9737

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Abstract

We consider the nonparametric estimation of the distribution of innovations εt in a stationary autoregression. We obtain estimators of the kernel of the probability density of εt and its derivatives from the estimated residuals of the Yule-Walker estimator of the autoregressive coefficients.

Item Type: Article
Additional Information: © 1986 Centre d'études de recherche opérationnelle
Divisions: Economics
Subjects: H Social Sciences > HB Economic Theory
JEL classification: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods
C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors > C32 - Time-Series Models
Date Deposited: 27 Apr 2007
Last Modified: 15 Sep 2023 12:06
URI: http://eprints.lse.ac.uk/id/eprint/1486

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