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Table 2

Linear regression model predicting ideal family size

Model 1
Variableβ (SE)
Conflict (yes) –0.0501* 
 (0.0253) 
Age –0.0259*** 
 (0.0035) 
Age, Squared 0.0005*** 
 (0.0001) 
Education (ref. = none)   
 Incomplete primary school –0.3889*** 
 (0.0174) 
 Complete primary school –0.7757*** 
 (0.0196) 
Children Ever Born 0.2406*** 
 (0.0035) 
Type of Residence (ref. = urban)   
 Rural 0.4313*** 
 (0.0187) 
Province Fixed Effects Yes 
Region-Specific Linear Time Trend Yes 
R2 .3450 
Model 1
Variableβ (SE)
Conflict (yes) –0.0501* 
 (0.0253) 
Age –0.0259*** 
 (0.0035) 
Age, Squared 0.0005*** 
 (0.0001) 
Education (ref. = none)   
 Incomplete primary school –0.3889*** 
 (0.0174) 
 Complete primary school –0.7757*** 
 (0.0196) 
Children Ever Born 0.2406*** 
 (0.0035) 
Type of Residence (ref. = urban)   
 Rural 0.4313*** 
 (0.0187) 
Province Fixed Effects Yes 
Region-Specific Linear Time Trend Yes 
R2 .3450 

Note: Standard errors are clustered on DHS communities.

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

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