Deterministic components;
Exponential smooth transition;
autoregressive;
Unit root test;
D O I:
10.1016/j.apmrv.2014.12.006
中图分类号:
C93 [管理学];
学科分类号:
12 ;
1201 ;
1202 ;
120202 ;
摘要:
This article intends to notify that asymptotic distributions of the nonlinear unit root test statistics must be rigorously treated if deterministic components are included in the estimated regression. The simple inductive argument of replacing the standard Brownian motion by either the demeaned or demeaned and detrended ones usually adopted in the literature is invalid. New results on the asymptotic distributions of the t-ratio to test the null of the unit root against the nonlinear exponential smooth transition autoregressive (ESTAR) with deterministic components are provided. (C) 2015 College of Management, National Cheng Kung University. Production and hosting by Elsevier Taiwan LLC. All rights reserved.
机构:
Zhejiang Gongshang Univ, Sch Math & Stat, Hangzhou 310018, Peoples R China
Zhejiang Univ Sci & Technol, Sch Sci, Hangzhou 310023, Zhejiang, Peoples R ChinaZhejiang Gongshang Univ, Sch Math & Stat, Hangzhou 310018, Peoples R China
Hu, Junjuan
Chen, Zhenlong
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机构:
Zhejiang Gongshang Univ, Sch Math & Stat, Hangzhou 310018, Peoples R ChinaZhejiang Gongshang Univ, Sch Math & Stat, Hangzhou 310018, Peoples R China
机构:
Centre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, WollongongCentre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, Wollongong
Puspaningrum H.
Lin Y.-X.
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机构:
Centre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, WollongongCentre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, Wollongong
Lin Y.-X.
Gulati C.
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h-index: 0
机构:
Centre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, WollongongCentre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, Wollongong