Determinants of income levels
| IVs | SEM | OLS | Logit |
|---|---|---|---|
| (1) | (2) | (3) | |
| Fintech usage | 0.056** | 0.055** | |
| (2.141) | (2.093) | ||
| Fintech usage: Low vs high | −1.186*** | ||
| (9.548) | |||
| Financial literacy | 0.067*** | 0.066*** | |
| (5.744) | (5.662) | ||
| Financial literacy: lower vs | −1.099*** | ||
| higher than average | (17.029) | ||
| Gender (Male = 1) | −0.003 | −0.002 | |
| (−0.035) | (−0.031) | ||
| Female vs male | 0.066 | ||
| (0.077) | |||
| Age | 0.052 | 0.052 | |
| (1.393) | (1.384) | ||
| Under 25 vs over 45 years old | −0.759* | ||
| (3.644) | |||
| Education | 0.154* | 0.151* | |
| (1.660) | (1.608) | ||
| University vs Master or higher | 0.237 | ||
| (0.349) | |||
| Marital status (Married = 1) | −0.026 | −0.026 | |
| (−0.307) | (−0.304) | ||
| Single vs married | 0.177 | ||
| (0.423) | |||
| Work experience | 0.077* | 0.080* | |
| (1.797) | (1.805) | ||
| Work experience: less vs more | −0.986 | ||
| (1.405) | |||
| Explorer trait | 0.243*** | 0.049 | |
| (2.971) | (1.061) | ||
| Explorer trait: less vs much | −0.074 | ||
| (0.022) | |||
| Intercept/-2 Log Likelihood | 1.808*** | 571.14 | |
| R2/Adjusted R2/Pseudo R2 | 0.121 | 0.105 | 0.172 |
| Chi-square/F Change | 0.094*** | 7.585*** | 612.18*** |
| Df | 1 | 8 | 20 |
| IVs | SEM | OLS | Logit |
|---|---|---|---|
| (1) | (2) | (3) | |
| Fintech usage | 0.056** | 0.055** | |
| (2.141) | (2.093) | ||
| Fintech usage: Low vs high | −1.186*** | ||
| (9.548) | |||
| Financial literacy | 0.067*** | 0.066*** | |
| (5.744) | (5.662) | ||
| Financial literacy: lower vs | −1.099*** | ||
| higher than average | (17.029) | ||
| Gender (Male = 1) | −0.003 | −0.002 | |
| (−0.035) | (−0.031) | ||
| Female vs male | 0.066 | ||
| (0.077) | |||
| Age | 0.052 | 0.052 | |
| (1.393) | (1.384) | ||
| Under 25 vs over 45 years old | −0.759* | ||
| (3.644) | |||
| Education | 0.154* | 0.151* | |
| (1.660) | (1.608) | ||
| University vs Master or higher | 0.237 | ||
| (0.349) | |||
| Marital status (Married = 1) | −0.026 | −0.026 | |
| (−0.307) | (−0.304) | ||
| Single vs married | 0.177 | ||
| (0.423) | |||
| Work experience | 0.077* | 0.080* | |
| (1.797) | (1.805) | ||
| Work experience: less vs more | −0.986 | ||
| (1.405) | |||
| Explorer trait | 0.243*** | 0.049 | |
| (2.971) | (1.061) | ||
| Explorer trait: less vs much | −0.074 | ||
| (0.022) | |||
| Intercept/-2 Log Likelihood | 1.808*** | 571.14 | |
| 0.121 | 0.105 | 0.172 | |
| Chi-square/F Change | 0.094*** | 7.585*** | 612.18*** |
| Df | 1 | 8 | 20 |
Note(s): ***: p < 1%; **: p < 5%, *: p < 10%. Dependent variable: Income levels. t-test in the parenthesis. SEM indicator: AGFI = 0.998; RFI = 0.993, TLI = 1.074; RMSEA = 0.004
Source(s): Authors’ own work