Several Least Squares Problems Related to the Hodrick-Prescott Filtering

Several Least Squares Problems Related to the Hodrick-Prescott Filtering
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与Hodrick-Prescott滤波相关的几个最小二乘问题

DOI:
10.1080/03610926.2017.1285934
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发表时间:
2018
期刊:
Communications in Statistics - Theory and Methods
影响因子:
--
通讯作者:
H.
H.
中科院分区:
--
文献类型:
--
作者:
Yamada;H.

文献摘要

相似文献

Hodrick-Prescott(HP)滤波在宏观计量经济学中经常用于将时间序列(如真实的国内生产总值)分解为趋势和周期成分。由于HP滤波是一个基本的计量经济学工具,有必要有一个准确的理解它的性质,这篇文章有助于文献列出几个(惩罚)最小二乘问题,与HP滤波,其中三个是新介绍的文章,并显示其性质。我们还评论他们的泛化。
The Hodrick–Prescott (HP) filtering is frequently used in macroeconometrics to decompose time series, such as real gross domestic product, into their trend and cyclical components. Because the HP filtering is a basic econometric tool, it is necessary to have a precise understanding of the nature of it. This article contributes to the literature by listing several (penalized) least-squares problems that are related to the HP filtering, three of which are newly introduced in the article, and showing their properties. We also remark on their generalization.