Table 6 Logistic regression estimates in logits
| Â | Dependent variable | ||
|---|---|---|---|
Failed (= 1) | |||
(1) | (2) | (3) | |
LA exposure | − 1.410*** (0.015) | − 0.889*** (0.039) | − 1.002*** (0.043) |
Female | − 0.583*** (0.021) | 0.124*** (0.025) | − 0.092** (0.045) |
Nonwhite | − 0.142*** (0.024) | 0.092*** (0.025) | 0.092*** (0.025) |
First generation | 0.160*** (0.028) | 0.300*** (0.029) | 0.301*** (0.029) |
Financial aid recipient | − 0.565*** (0.020) | 0.049** (0.023) | 0.049** (0.023) |
Credits at entry | − 0.119*** (0.013) | − 0.241*** (0.016) | − 0.241*** (0.016) |
HS GPA | −  0.385*** (0.010) | − 0.564*** (0.011) | − 0.564*** (0.011) |
ACT | − 0.274*** (0.012) | − 0.231*** (0.013) | − 0.232*** (0.013) |
LA exposure*female | Â | Â | 0.297*** (0.052) |
Observations | 75,563 | 75,563 | 75,563 |
Log likelihood | − 32,462.050 | − 28,672.970 | − 28,656.720 |
Akaike Inf. Crit. | 64,940.100 | 57,949.940 | 57,919.430 |