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
Full text not available from this repository.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 |
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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: | 13 Sep 2024 20:54 |
URI: | http://eprints.lse.ac.uk/id/eprint/1486 |
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