Table 4.
Logistic regression models predicting any birth in prior year
| Model 6 | ||
|---|---|---|
| Variable | β (SE) | |
| Conflict (yes) | −0.0582 (0.0250) | * |
| Age | 0.3783 (0.0057) | *** |
| Age2 | −0.0091 (0.0001) | *** |
| Education (ref = none) | ||
| Incomplete primary school | −0.0827 (0.0178) | *** |
| Complete primary school | −0.0872 (0.0186) | *** |
| Children ever born | 0.4821 (0.0047) | *** |
| Type of residence (ref = urban) | ||
| Rural | 0.1538 (0.0177) | *** |
| Province fixed effects | Yes | |
| Region-specific linear time trend | Yes | |
| Pseudo R2 | 0.1537 | |
p<0.001,
p<0.01,
p<0.05,
p<0.10.
Standard errors clustered on DHS communities.