题名

Gaussian Inference in AR(1) Models with Trend: A Note

并列篇名

有時間趨勢之一階自我迴歸模型的常態推論

DOI

10.6277/TER.2014.422.4

作者

陳致綱(Jhih-Gang Chen)；郭炳伸(Biing-Shen Kuo)

关键词

自我迴歸模型 ； 去除趨勢 ； 一階差分 ； 單根 ； 動態追蹤資料 ； 固定效果 ； AR model ； detrend ； first difference ； unit root ； dynamic panel ； fixed effects

期刊名称

經濟論文叢刊

卷期/出版年月

42卷2期（2014 / 06 / 01）

页次

297 - 313

内容语文

英文
中文摘要

本文將Phillips and Han（2008）之一階差分估計式推展至有時間趨勢之一階自我迴歸模型的估計與推論上。藉由簡易的去除時間趨勢過程，一階差分估計式仍具有漸近常態分配的性質；同時，據以建構之單根檢定相較於以雙重差分估計式為基礎之單根檢定更有檢定力。本文提出的方法在固定效果動態追蹤資料模型下更具應用價值。
英文摘要

This paper adapts the first-difference estimator of Phillips and Han (2008) to the estimation and inference in AR(1) models with trends. With a detrending procedure, the first-difference estimator remains applicable and is shown to retain the Gaussian asymptotics. A unit root test based on the estimator is more powerful than that based on the double-difference estimator. The proposed estimator is especially useful when applied to dynamic panels.
主题分类 社會科學 > 經濟學
参考文献
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