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Tekijä:Chen, X.
Fan, Y.
Otsikko:Consistent hypothesis testing in semiparametric and nonparametric models for econometric time series
Lehti:Journal of Econometrics
1999 : AUG, VOL. 91:2, p. 373-401
Asiasana:Econometrics
Time series
Models
Kieli:eng
Tiivistelmä:In this paper, the general hypothesis studied by Robinson (1989) is modified for semi- / non-parametric time-series models. Presented is a consistent testing procedure for the modified hypothesis. As examples, there are provided consistent tests for the portfolio conditional mean-variance efficiency hypothesis, for the omitted variables in a multivariate nonparametric time-series regression model, and for the two original examples in Robinson. The asymptotic distributions under the null and Pitman local alternatives are established by invoking central limit theorems for Hilbert-valued-dependent random arrays.
SCIMA tietueen numero: 192313
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