Mammen, Enno, Linton, Oliver and Nielsen, J (2000) The existence and asymptotic properties of a backfitting projection algorithm under weak conditions. Econometrics; EM/2000/386 (EM/00/386). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.
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Abstract
We derive the asymptotic distribution of a new backfitting procedure for estimating the closest additive approximation to a nonparametric regression function. The procedure employs a recent projection interpretation of popular kernel estimators provided by Mammen, Marron, Turlach and Wand (1997), and the asymptotic theory of our estimators is derived using the theory of additive projections reviewed in Bickel, Klaassen, Ritov, and Wellner (1993). Our procedure achieves the same bias and variance as the oracle estimator based on knowing the other components, and in this sense improves on the method analysed in Opsomer and Ruppert (1997). We provide ‘high level’ conditions independent of the sampling scheme. We then verify that these conditions are satisfied in a regression and a time series autoregression under weak conditions.
| Item Type: | Monograph (Discussion Paper) |
|---|---|
| Official URL: | http://sticerd.lse.ac.uk |
| Additional Information: | © 2000 the authors |
| Divisions: | Financial Markets Group Economics STICERD |
| 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 |
| Date Deposited: | 27 Apr 2007 |
| Last Modified: | 11 Dec 2024 18:27 |
| URI: | http://eprints.lse.ac.uk/id/eprint/2315 |
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