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  • Search: subject:"Pre-asymptotic Variance"
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Year of publication
Subject
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Irregular functional 3 Misspecification 3 Pre-asymptotic variance 3 Estimation theory 2 F Distribution 2 F distribution 2 Irregular Functional 2 Nichtparametrisches Verfahren 2 Nonparametric statistics 2 Orthogonal Series Long Run Variance Estimation 2 Orthonormal series long run variance estimation 2 Pre-asymptotic Variance 2 Schätztheorie 2 Sieve M Estimation 2 Sieve M estimation 2 Sieve Riesz Representor 2 Sieve Riesz representer 2 Time series analysis 2 Weak Dependence 2 Zeitreihenanalyse 2 FF distribution 1 Orthogonal series long run variance estimation 1 Sieve MM estimation 1 Sieve Riesz representor 1 Weak dependence 1
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Online availability
All
Free 3 Undetermined 1
Type of publication
All
Book / Working Paper 3 Article 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 4 Undetermined 1
Author
All
Chen, Xiaohong 5 Liao, Zhipeng 5 Sun, Yixiao 5
Institution
All
Cowles Foundation for Research in Economics, Yale University 1
Published in...
All
CEMMAP working papers / Centre for Microdata Methods and Practice 1 Cowles Foundation Discussion Papers 1 Journal of Econometrics 1 Journal of econometrics 1 cemmap working paper 1
Source
All
ECONIS (ZBW) 2 RePEc 2 EconStor 1
Showing 1 - 5 of 5
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Sieve inference on semi-nonparametric time series models
Chen, Xiaohong; Liao, Zhipeng; Sun, Yixiao - 2012
The method of sieves has been widely used in estimating semiparametric and nonparametric models. In this paper, we first provide a general theory on the asymptotic normality of plug-in sieve M estimators of possibly irregular functionals of semi/nonparametric time series models. Next, we...
Persistent link: https://www.econbiz.de/10010288325
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Sieve Inference on Semi-nonparametric Time Series Models
Chen, Xiaohong; Liao, Zhipeng; Sun, Yixiao - Cowles Foundation for Research in Economics, Yale University - 2012
The method of sieves has been widely used in estimating semiparametric and nonparametric models. In this paper, we first provide a general theory on the asymptotic normality of plug-in sieve M estimators of possibly irregular functionals of semi/nonparametric time series models. Next, we...
Persistent link: https://www.econbiz.de/10009649696
Saved in:
Cover Image
Sieve inference on semi-nonparametric time series models
Chen, Xiaohong; Liao, Zhipeng; Sun, Yixiao - 2012
The method of sieves has been widely used in estimating semiparametric and nonparametric models. In this paper, we first provide a general theory on the asymptotic normality of plug-in sieve M estimators of possibly irregular functionals of semi/nonparametric time series models. Next, we...
Persistent link: https://www.econbiz.de/10009504597
Saved in:
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Sieve inference on possibly misspecified semi-nonparametric time series models
Chen, Xiaohong; Liao, Zhipeng; Sun, Yixiao - In: Journal of Econometrics 178 (2014) P3, pp. 639-658
This paper establishes the asymptotic normality of plug-in sieve M estimators of possibly irregular functionals of semi-nonparametric time series models. We show that, even when the sieve score process is not a martingale difference sequence, the asymptotic variance in the case of irregular...
Persistent link: https://www.econbiz.de/10011052270
Saved in:
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Sieve inference on possibly misspecified semi-nonparametric time series models
Chen, Xiaohong; Liao, Zhipeng; Sun, Yixiao - In: Journal of econometrics 178 (2014) 1, pp. 639-658
Persistent link: https://www.econbiz.de/10010257367
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