A Bayesian Binary Logistic Regression Approach to Identifying Factors Affecting the Households’ Use Level of Financial Products/Services in Vietnam

This study uses the Bayesian Binary Logistic Regression method with data obtained from the Vietnam Household Living Standards Survey (VHLSS) conducted by the General Statistics Office of Vietnam (GSO) in 2018 to identify the factors affecting the households’ use level of financial products/services (FS) in Vietnam. The research results show that households living in urban areas are more likely to have bank accounts and use ATM cards than those living in rural areas. Household size increases the household’s probability of having bank accounts and ATM cards. Households with access to information and communications have a higher probability of having bank accounts and using ATM cards than those without access. The education level of the householder increases the household’s probability of having bank accounts and using ATM cards. The employed householders have a higher probability of having bank accounts and using ATM cards than the unemployed ones. Male householders are less likely to have bank accounts and use credit cards than female householders. The study also provides some recommendations to promote the households’ use level of FS in Vietnam.