版权说明 操作指南
首页 > 成果 > 详情

Testing for Structural Change of Predictive Regression Model to Threshold Predictive Regression Model

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Zhu, Fukang;Liu, Mengya;Ling, Shiqing;Cai, Zongwu
通讯作者:
Zongwu Cai
作者机构:
[Zhu, Fukang] Jilin Univ, Sch Math, Changchun, Jilin, Peoples R China.
[Liu, Mengya] Cent China Normal Univ, Sch Math, Wuhan, Hubei, Peoples R China.
[Ling, Shiqing] Hong Kong Univ Sci & Technol, Dept Math, Hong Kong, Peoples R China.
[Cai, Zongwu] Univ Kansas, Dept Econ, 1460 Jayhawks Blvd, Lawrence, KS 66045 USA.
通讯机构:
[Zongwu Cai] D
Department of Economics, University of Kansas, 1460 Jayhawks Blvd, Lawrence, KS, United States
语种:
英文
关键词:
Bootstrap method;Generalized F-test;Generalized likelihood ratio test;Predictive regression;Structural change;Threshold model
期刊:
Journal of Business & Economic Statistics
ISSN:
0735-0015
年:
2023
卷:
41
期:
1
页码:
228-240
基金类别:
Zhu’s research is supported by National Natural Science Foundation of China (NSFC) Grants (11871027 and 11731015) and Natural Science Foundation of Jilin Province Grants (20210101143JC). Ling’s research is supported by Hong Kong Research Grants Commission Grants (16303118, 16301620 and 16300621), RGC-Theme-based Research Scheme T31-604/18-N), and the Australian Research Council. Cai’s research is partially supported by NSFC Grants (71631004 and 72033008).
机构署名:
本校为其他机构
院系归属:
数学与统计学学院
摘要:
This article investigates two test statistics for testing structural changes and thresholds in predictive regression models. The generalized likelihood ratio (GLR) test is proposed for the stationary predictor and the generalized F test is suggested for the persistent predictor. Under the null hypothesis of no structural change and threshold, it is shown that the GLR test statistic converges to a function of a centered Gaussian process, and the generalized F test statistic converges to a function of Brownian motions. A Bootstrap method is propo...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com