Research Article

Is Mother’s Education or Household Poverty a Better Predictor for Girl’s School Dropout? Evidence from Aggregated Community Effects in Rural India

Table 3

Odds ratio (OR) of school dropouts by selected individual- and community-level predictors.

Model 1Model 2Model 3
Individual/household variablesCategoryOROROR

Age (years)1.40.0001.410.0001.460.000

Number of siblings1.110.0081.070.0621.060.178

CasteOthers@
SC1.570.0051.670.0021.580.008
ST1.20.1781.040.7961.050.661

Economic statusBPL family@
Non-BPL family0.680.0030.690.0050.710.009
Marital statusNonmarried@
Married-no Gauna1.930.0001.920.0002.090.000
Married-Gauna performed5.640.0005.90.0006.540.000

Main occupation of familyFormal sector@
Irregular worker1.860.0151.450.1771.380.255
Farmer1.070.6691.020.9361.010.983

Decision on education taken byOnly father@
Both parents and self0.730.0160.90.4860.940.704
Other than parents1.010.9960.960.8850.930.804

Parents educationBoth illiterate@
Any parent educated0.50.0000.50.0000.490.000
Both educated0.260.0000.270.0000.30.000

Gender perceptionLow@
Moderate0.490.0000.530.008
High0.160.0000.180.000

Village/environmental variables
% SC and ST population0.480.038
% BPL population2.570.018
Mean age at marriage0.850.008
% mother literacy0.290.001
Constant0.0030.0000.080.0000.140.009
Adjusted R20.1860.23150.2573
−2 log likelihood−797.644−753.327−710.387

Note. Results control for other covariates of number of siblings, main occupation in family, and decision on education. @Reference category.