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dc.contributor.authorWachirawit Puttachaien_US
dc.contributor.authorWoraphon Yamakaen_US
dc.contributor.authorParavee Maneejuken_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2019-08-05T04:35:00Z-
dc.date.available2019-08-05T04:35:00Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85065615789en_US
dc.identifier.other10.1007/978-3-030-04200-4_62en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065615789&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65525-
dc.description.abstract© Springer Nature Switzerland AG 2019. This paper uses the Cox proportional hazards model to examine which of the structural characteristics could resist the US financial crisis survival countries. The dependent variable in this model is generated from GDP, and the Markov Switching Autoregressive (MS-AR) technique is used to detect the survival period as well as the crisis occurrence in each country. The survival of a country is found to be influenced by continents (Asia, Australia and Africa) and the higher development level. However, being the member of economic communities, APEC and WTO, increase the chance of the crisis occurrence.en_US
dc.subjectComputer Scienceen_US
dc.titleAnalysis of the global economic crisis using the cox proportional hazards modelen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume809en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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