Central limit theorems for weighted quadratic forms of dependent processes with applications in specification testing

Gao, Jiti and Hong, Yongmiao (2007): Central limit theorems for weighted quadratic forms of dependent processes with applications in specification testing. Published in: Journal of Nonparametric Statistics , Vol. 20, No. 1 (March 2008): pp. 61-76.

Abstract

In this paper, we establish some new central limit theorems for generalized U-statistics of dependent processes under some mild conditions. Such central limit theorems complement existing existing results available from both the econometrics literature and statistics literature. We then look at applications of the established results to a number of test problems in time series regression models.

• Item Type: MPRA Paper
• Language: English
• Keywords: Central limit theorem; nonparametric specification; quadratic form; strict stationarity; stochastic process
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General

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