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

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Issued Date

2020

Resource Type

Article

File Type

application/pdf

ISSN

11099526

DOI

10.37394/23207.2020.17.65

Other identifier(s)

2-s2.0-85087622230

Rights Holder(s)

Scopus

Bibliographic Citation

WSEAS Transactions on Business and Economics. Vol 17, (2020), p.676-681

Suggested Citation

Intarapak S., Supapakorn T. Application of logistic regression analysis to household debt of bangkok and metropolitan area of Thailand. WSEAS Transactions on Business and Economics. Vol 17, (2020), p.676-681. doi:10.37394/23207.2020.17.65 Retrieved from: https://hdl.handle.net/20.500.14740/4765

Title

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

Author(s)

Intarapak S.
 Supapakorn T.

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.

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URI

https://hdl.handle.net/20.500.14740/4765

Collections

Scopus: Year 1983-2021

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