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

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dc.contributor.authorIntarapak S.
dc.contributor.authorSupapakorn T.
dc.date.accessioned2021-04-05T03:01:46Z
dc.date.available2021-04-05T03:01:46Z
dc.date.issued2020
dc.date.issuedBE2563
dc.description.abstractThe 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.format.mimetypeapplication/pdf
dc.identifier.citationWSEAS Transactions on Business and Economics. Vol 17, (2020), p.676-681
dc.identifier.doi10.37394/23207.2020.17.65
dc.identifier.issn11099526
dc.identifier.other2-s2.0-85087622230
dc.identifier.urihttps://hdl.handle.net/20.500.14740/4765
dc.rights.holderScopus
dc.titleApplication of logistic regression analysis to household debt of bangkok and metropolitan area of Thailand
dc.typeArticle
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85087622230&doi=10.37394%2f23207.2020.17.65&partnerID=40&md5=f3e77322135293e108f6849f32cdee43

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