Generalized Forecast Averaging in Autoregressions with a Near Unit Root

IF 2.9 4区 经济学 Q1 ECONOMICS Econometrics Journal Pub Date : 2020-04-01 DOI:10.1093/ECTJ/UTAA006
Mohitosh Kejriwal, Xuewen Yu
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引用次数: 1

Abstract

This paper develops a new approach to forecasting a highly persistent time series that employs feasible generalized least squares (FGLS) estimation of the deterministic components in conjunction with Mallows model averaging.
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近单位根自回归的广义预测平均
本文提出了一种预测高度持续时间序列的新方法,该方法采用确定性分量的可行广义最小二乘(FGLS)估计与Mallows模型平均相结合。
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来源期刊
Econometrics Journal
Econometrics Journal 管理科学-数学跨学科应用
CiteScore
4.20
自引率
5.30%
发文量
25
审稿时长
>12 weeks
期刊介绍: The Econometrics Journal was established in 1998 by the Royal Economic Society with the aim of creating a top international field journal for the publication of econometric research with a standard of intellectual rigour and academic standing similar to those of the pre-existing top field journals in econometrics. The Econometrics Journal is committed to publishing first-class papers in macro-, micro- and financial econometrics. It is a general journal for econometric research open to all areas of econometrics, whether applied, computational, methodological or theoretical contributions.
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