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

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.