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

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...

Full description

Bibliographic Details
Main Authors: Seuk Wai Phoong, Seuk Yen Phoong, Shi Ling Khek
Format: Article
Language:English
Published: SAGE Publishing 2022-04-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/21582440221093062
_version_ 1818278261665300480
author Seuk Wai Phoong
Seuk Yen Phoong
Shi Ling Khek
author_facet Seuk Wai Phoong
Seuk Yen Phoong
Shi Ling Khek
author_sort Seuk Wai Phoong
collection DOAJ
description 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.
first_indexed 2024-12-12T23:14:38Z
format Article
id doaj.art-ed56183bae134e398b1b05892abb17fd
institution Directory Open Access Journal
issn 2158-2440
language English
last_indexed 2024-12-12T23:14:38Z
publishDate 2022-04-01
publisher SAGE Publishing
record_format Article
series SAGE Open
spelling doaj.art-ed56183bae134e398b1b05892abb17fd2022-12-22T00:08:30ZengSAGE PublishingSAGE Open2158-24402022-04-011210.1177/21582440221093062Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and ApplicationsSeuk Wai Phoong0Seuk Yen Phoong1Shi Ling Khek2Universiti Malaya, Kuala Lumpur, MalaysiaUniversiti Pendidikan Sultan Idris, Tanjong Malim, MalaysiaUniversiti Pendidikan Sultan Idris, Tanjong Malim, MalaysiaThis 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.https://doi.org/10.1177/21582440221093062
spellingShingle Seuk Wai Phoong
Seuk Yen Phoong
Shi Ling Khek
Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and Applications
SAGE Open
title Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and Applications
title_full Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and Applications
title_fullStr Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and Applications
title_full_unstemmed Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and Applications
title_short Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and Applications
title_sort systematic literature review with bibliometric analysis on markov switching model methods and applications
url https://doi.org/10.1177/21582440221093062
work_keys_str_mv AT seukwaiphoong systematicliteraturereviewwithbibliometricanalysisonmarkovswitchingmodelmethodsandapplications
AT seukyenphoong systematicliteraturereviewwithbibliometricanalysisonmarkovswitchingmodelmethodsandapplications
AT shilingkhek systematicliteraturereviewwithbibliometricanalysisonmarkovswitchingmodelmethodsandapplications