Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12064
ชื่อเรื่อง: Application of logistic regression analysis to household debt of bangkok and metropolitan area of Thailand
ผู้แต่ง: Intarapak S.
Supapakorn T.
วันที่เผยแพร่: 2020
บทคัดย่อ: 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.
URI: https://ir.swu.ac.th/jspui/handle/123456789/12064
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087622230&doi=10.37394%2f23207.2020.17.65&partnerID=40&md5=f3e77322135293e108f6849f32cdee43
ISSN: 11099526
Appears in Collections:Scopus 1983-2021

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