Application of logistic regression analysis to household debt of bangkok and metropolitan area of Thailand

Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12064

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DC Field	Value	Language
dc.contributor.author	Intarapak S.
dc.contributor.author	Supapakorn T.
dc.date.accessioned	2021-04-05T03:01:46Z	-
dc.date.available	2021-04-05T03:01:46Z	-
dc.date.issued	2020
dc.identifier.issn	11099526
dc.identifier.other	2-s2.0-85087622230
dc.identifier.uri	https://ir.swu.ac.th/jspui/handle/123456789/12064	-
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087622230&doi=10.37394%2f23207.2020.17.65&partnerID=40&md5=f3e77322135293e108f6849f32cdee43
dc.description.abstract	The objective of this research is to study factors influencing the household debt of people in Bangkok and metropolitan area of Thailand. Using data from the 2017 household socio-economic survey from National Statistics Office (NSO) of Thailand, the results of logistic regression analysis indicate that four variables affecting indebtedness of the household are household sizes, number of people who get wages, remittance receiving, and loan for emergency. Overall, the logistic regression analysis correctly classifies 67.7% of indebtedness of household. © 2020, World Scientific and Engineering Academy and Society. All rights reserved.
dc.title	Application of logistic regression analysis to household debt of bangkok and metropolitan area of Thailand
dc.type	Article
dc.rights.holder	Scopus
dc.identifier.bibliograpycitation	WSEAS Transactions on Business and Economics. Vol 17, (2020), p.676-681
dc.identifier.doi	10.37394/23207.2020.17.65
Appears in Collections:	Scopus 1983-2021

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