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This study aims to answer the impact of digital financial literacy (DFL) and the demographic factors on digital financial inclusion (DFI). This model employed the independent variables that consist of digital financial literacy and demographic factors including gender, age, occupation, marital status, income. By applying purposive sampling, this study collected the data from 160 households who have minimum one banks' accounts. To answer the research hypotheses, this study analyzed the data using binary logistic regression that categorized sample into DFI or otherwise. Based on the model fit test, the findings showed that DFL and demographic factors affect DFI. The effect of gender and marital status showed an insignificant effect on DFI. Conversely, DFL and other demographic factors including age, income, occupation significantly explain DFI in Indonesian household. The model can predict 84.4% respondents in a correct classification as DFI or otherwise.
Widyastuti et al. (Wed,) studied this question.