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Table 4

Logistic regression model predicting any birth in prior year

Model 6
Variableβ (SE)
Conflict (yes) –0.0582* 
 (0.0250) 
Age 0.3783*** 
 (0.0057) 
Age, Squared –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 .1537 
Model 6
Variableβ (SE)
Conflict (yes) –0.0582* 
 (0.0250) 
Age 0.3783*** 
 (0.0057) 
Age, Squared –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 .1537 

Note: Standard errors are clustered on DHS communities.

*p < .05; ***p < .001

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