Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and Applications

被引:16
作者
Phoong, Seuk Wai [1 ]
Phoong, Seuk Yen [2 ]
Khek, Shi Ling [2 ]
机构
[1] Univ Malaya, Kuala Lumpur, Malaysia
[2] Univ Pendidikan Sultan Idris, Tanjong Malim, Malaysia
来源
SAGE OPEN | 2022年 / 12卷 / 02期
关键词
Markov switching model; bibliometric analysis; systematic literature review; VOSViewer; Biblioshiny; BUSINESS; TOURISM; CYCLE; MANAGEMENT; LIKELIHOOD; BLOCKCHAIN; EVOLUTION; SCIENCE; IMPACT; IRAN;
D O I
10.1177/21582440221093062
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This study involved a systematic literature review using bibliometric analysis to examine the evolution and current trends of Markov switching studies. The bibliometric analysis was used for the descriptive, intellectual, social, and conceptual network analyses, while systematic reviews were used to identify the application of the Markov switching model. A total of 449 articles were selected and extracted from the Web of Science (WoS) between 1992 and 2021. The publication trends, most influential countries and articles, leading journals, collaboration networks, research hotspots, research fronts, coupling networks, and application of the model in various disciplines were described. This study summarized the research agenda of the Markov switching field, which would be helpful for researchers and funding agencies.
引用
收藏
页数:16
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