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 |
|