WSEAS Transactions on Business and Economics
Print ISSN: 1109-9526, E-ISSN: 2224-2899
Volume 17, 2020
Application of Logistic Regression Analysis to Household Debt of Thailand
Authors: Sukanya Intarapak, Thidaporn Supapakorn
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.