| Variables | Coefficients | Effets marginaux |
| Age 1 | ||
| Age < 35 ans réf. | −0.6523909*** | −0.1037417*** |
| Age > 35 ans | (0.2089413) | (0.03157) |
| Gender | ||
| Male | −0.4983278** | −0.0796914** |
| Female réf. | (0.1984258) | (0.03054) |
| SM | ||
| Married | −1.218083*** | −0.2436583*** |
| Unmarried réf. | (0.2179546) | (0.04936) |
| Income 2 | ||
| Low average income < 150.000 réf. | −0.4589753** | −0.072675** |
| High average income > 150.000 | (0.2126851) | (0.03213) |
| NI | ||
| Uneducated réf. | 0.2849377 | 0.0502312 |
| Educated | (0.3481305) | (0.06519) |
| Détention CM | ||
| Does not hold a mobile money account réf. | −1.007488*** | −0.1988268*** |
| Holds a mobile money account | (0.2337418) | (0.05212) |
| Status SP | ||
| Non managerial réf. | −0.7814857*** | −0.1266115*** |
| Manager | (0.2219069) | (0.03455) |
| Type of employeur | ||
| Privé réf. | −1.188201*** | −0.2251458*** |
| Public | (0.2032313) | (0.0429) |
| Cons | 3.157021*** (3961539) |
|
| Number of obs = 887 LR chi2(8) = 240.94 Prob > chi2 = 0.0000 Pseudo R2 = 0.2335 Log pseudo likelihood = −395.39272 |
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