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  • Search: subject:"Orthogonal Series Long Run Variance Estimation"
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Year of publication
Subject
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Misspecification 3 F Distribution 2 Irregular Functional 2 Orthogonal Series Long Run Variance Estimation 2 Pre-asymptotic Variance 2 Sieve M Estimation 2 Sieve Riesz Representor 2 Weak Dependence 2 Estimation theory 1 F distribution 1 Irregular functional 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Orthogonal series long run variance estimation 1 Pre-asymptotic variance 1 Schätztheorie 1 Sieve M estimation 1 Sieve Riesz representor 1 Time series analysis 1 Weak dependence 1 Zeitreihenanalyse 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3
Author
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Chen, Xiaohong 3 Liao, Zhipeng 3 Sun, Yixiao 3
Institution
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Cowles Foundation for Research in Economics, Yale University 1
Published in...
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CEMMAP working papers / Centre for Microdata Methods and Practice 1 Cowles Foundation Discussion Papers 1 cemmap working paper 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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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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Cover Image
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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