Table 5

Impact of Female Teachers on the Learning Gains of Female Students (Pooled Across Math and Language)

Dependent Variable: Normalized Test Scores
123456
1) Female student * female teacher0.0383***
(0.00997)
0.0362***
(0.00886)
0.0354***
(0.00827)
0.0350***
(0.00887)
0.0343***
(0.00826)
0.0347***
(0.00868)
2) Female student−0.0120*
(0.00676)
−0.0140**
(0.00602)
−0.0126**
(0.00563)
3) Female teacher−0.0154
(0.0188)
−0.00344
(0.0148)
0.000700
(0.0155)
0.00212
(0.0149)
0.00132
(0.0155)
−0.00305
(0.0180)
β1 + β30.0230.033**0.036**0.037**0.036**0.032***
F-statistic (H0: β1 + β3 = 0)1.5755.2225.6836.4485.5003.157
λg *β1 + β30.0040.0150.0190.0200.0190.015
F-statistic (H0: λg * β1 + β3 = 0)0.0541.1691.6132.0121.6180.708
Observations268,548268,548268,548268,548268,548235,022
Teacher characteristicsNoNoNoNoNoYes
School fixed effectsNoYesNoYesNoNo
School*grade fixed effectsNoNoYesNoYesYes
Grade fixed effects by student genderNoNoNoYesYesYes
  • Notes: Regressions include student’s previous year’s test score as an independent variable. “Teacher characteristics” are salary, age, experience, teacher absence, class enrollment size, and indicators for caste, teacher status, education, training, native to school location, marital status, union status, and a multigrade class. Standard errors (in parentheses) are clustered at the school level for OLS regressions not including fixed effects and are clustered at the school year level for OLS regressions including fixed effects. Significance levels are as follows:

  • * p < 0.10,

  • ** p < 0.05,

  • *** p < 0.01.