Clustering regional business cycles

被引：5
|
作者：
Dolores Gadea-Rivas, M. [1 ]
Gomez-Loscos, Ana [2 ]
Bandres, Eduardo [1 ]
机构：
[1] Univ Zaragoza, Dept Appl Econ, Gran Via 4, Zaragoza 50005, Spain
[2] Banco Espana, Alcala 48, Madrid 28014, Spain
来源：
ECONOMICS LETTERS | 2018年 / 162卷
关键词：
Business cycles; Clusters; Regions; Finite Mixture Markov models;
D O I：
10.1016/j.econlet.2017.10.029
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The aim of this paper is to show the usefulness of Finite Mixture Markov models (FMMM) for regional analysis. FMMM combine clustering techniques and Markov Switching models, providing a powerful methodological framework to jointly obtain business cycle datings and clusters of regions that share similar business cycle characteristics. An illustration with European regional data shows the good performance of the proposed method. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：171 / 176
页数：6
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