The effect of financial literacy on interoperability, DFS and vulnerability
| (1) | (2) | (3) | |
|---|---|---|---|
| Interoperability | DFS | Vulnerability | |
| Interoperability | 0.073*** | ||
| (0.005) | |||
| Digital financial inclusion | −0.134*** | ||
| (0.019) | |||
| Financial literacy | 0.045*** | 0.005*** | −0.002 |
| (0.012) | (0.002) | (0.002) | |
| Gender | 0.111*** | 0.029*** | 0.012*** |
| (0.016) | (0.004) | (0.004) | |
| Marital status | −0.034** | 0.017*** | −0.013*** |
| (0.016) | (0.004) | (0.004) | |
| Age | −0.003*** | −0.001*** | 0.001*** |
| (0.001) | (0.015) | (0.004) | |
| Employment status | −0.003 | 0.028*** | 0.013** |
| (0.02) | (0.005) | (0.005) | |
| Region | 0.052*** | 0.001 | 0.027*** |
| (0.016) | (0.004) | (0.004) | |
| Constant | 0.169*** | 0.165*** | 0.262*** |
| (0.05) | (0.012) | (0.013) | |
| Observations | 2,697 | 2,697 | 2,697 |
| R-squared | 0.13 | 0.144 | 0.079 |
| (1) | (2) | (3) | |
|---|---|---|---|
| Interoperability | DFS | Vulnerability | |
| Interoperability | 0.073*** | ||
| (0.005) | |||
| Digital financial inclusion | −0.134*** | ||
| (0.019) | |||
| Financial literacy | 0.045*** | 0.005*** | −0.002 |
| (0.012) | (0.002) | (0.002) | |
| Gender | 0.111*** | 0.029*** | 0.012*** |
| (0.016) | (0.004) | (0.004) | |
| Marital status | −0.034** | 0.017*** | −0.013*** |
| (0.016) | (0.004) | (0.004) | |
| Age | −0.003*** | −0.001*** | 0.001*** |
| (0.001) | (0.015) | (0.004) | |
| Employment status | −0.003 | 0.028*** | 0.013** |
| (0.02) | (0.005) | (0.005) | |
| Region | 0.052*** | 0.001 | 0.027*** |
| (0.016) | (0.004) | (0.004) | |
| Constant | 0.169*** | 0.165*** | 0.262*** |
| (0.05) | (0.012) | (0.013) | |
| Observations | 2,697 | 2,697 | 2,697 |
| 0.13 | 0.144 | 0.079 |
Note(s): Table 2 presents the results of the Ordinary Least Squares (OLS) regression analysis, which examines the sequential influence of financial literacy on interoperability, and subsequently, how interoperability affects mobile phone-enabled financial inclusion. Furthermore, it explores the impact of mobile phone-enabled financial inclusion and financial literacy on vulnerability. The main dependent variables are: interoperability, digital financial services and vulnerability and the primary independent variable in this analysis is financial literacy. The OLS is regressed the following variables are regressed against the selected explanatory variables: interoperability, digital financial inclusion, financial literacy, age, gender, marital status, employment status, and religion. The standard errors are indicated in parentheses. Statistical significance is denoted by ***, **, and * for the 1%, 5%, and 10% levels, respectively
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