利用组变量正则化选择近似因子模型中的因子数量

IF 0.8 4区 经济学 Q3 ECONOMICS Econometric Reviews Pub Date : 2024-07-09 DOI:10.1080/07474938.2024.2365795
Maurizio Daniele
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引用次数: 0

摘要

我们提出了一种估算近似因子模型中因子数量的新方法。该模型基于一种惩罚性最大似然法,其中包含一种自适应分层方法。
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Selecting the number of factors in approximate factor models using group variable regularization
We propose a novel method for the estimation of the number of factors in approximate factor models. The model is based on a penalized maximum likelihood approach incorporating an adaptive hierarchi...
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来源期刊
Econometric Reviews
Econometric Reviews 管理科学-数学跨学科应用
CiteScore
1.70
自引率
0.00%
发文量
27
审稿时长
>12 weeks
期刊介绍: Econometric Reviews is widely regarded as one of the top 5 core journals in econometrics. It probes the limits of econometric knowledge, featuring regular, state-of-the-art single blind refereed articles and book reviews. ER has been consistently the leader and innovator in its acclaimed retrospective and critical surveys and interchanges on current or developing topics. Special issues of the journal are developed by a world-renowned editorial board. These bring together leading experts from econometrics and beyond. Reviews of books and software are also within the scope of the journal. Its content is expressly intended to reach beyond econometrics and advanced empirical economics, to statistics and other social sciences.
期刊最新文献
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