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. 2017 Jan;145:116–135. doi: 10.1016/j.jpubeco.2016.11.005

Table A5.

Panel OLS regression results, village-level(dependent variable: Change in probability of inspection in past 3months).


(1)
(2)
(3)
(4)
(5)
(6)
Individual regressions Multiple regressions
No fixed w/state w/district No fixed w/state w/district
effects fixed effects fixed effects effects fixed effects fixed effects
Changes in teacher variables
Have bachelors degree −0.003 0.042 0.039 0.006 0.037 0.030
(0.046) (0.053) (0.050) (0.046) (0.051) (0.055)
Have teacher training 0.041 0.054 0.085 0.029 0.046 0.064
(0.056) (0.057) (0.054) (0.053) (0.055) (0.061)
Are contract teachers 0.055 0.063 −0.040 0.108* 0.088 −0.009
(0.053) (0.073) (0.069) (0.059) (0.070) (0.082)
Are paid regularly −0.036 −0.010 −0.010 −0.037 −0.005 −0.004
(0.030) (0.035) (0.035) (0.031) (0.035) (0.041)
Recognition scheme exists 0.069** 0.062** 0.020 0.067** 0.060* 0.023
(0.028) (0.031) (0.032) (0.028) (0.031) (0.037)
Changes in school variables
Log student-teacher ratio 0.055* 0.032 0.029 0.049 0.024 0.012
(0.031) (0.032) (0.034) (0.030) (0.031) (0.037)
Mid-day meals 0.007 −0.008 −0.024 0.018 −0.008 −0.017
(0.032) (0.041) (0.046) (0.034) (0.042) (0.050)
Infrastructure index (0-4) 0.010 0.011 0.005 0.006 0.011 0.004
(0.012) (0.013) (0.015) (0.013) (0.013) (0.015)
Remoteness index (normalized) −0.023 −0.026 −0.032 −0.024 −0.024 -0.028
(0.022) (0.022) (0.020) (0.021) (0.021) (0.024)
Changes in monitoring and community variables
Probability of PTA meeting in last 3 months 0.018 0.052** 0.068** 0.033 0.053** 0.070**
(0.023) (0.024) (0.029) (0.023) (0.024) (0.027)
Mean parental education (1–7 scale) −0.03 −0.04 −0.04** −0.04 −0.04* −0.05**
(0.026) (0.026) (0.022) (0.023) (0.024) (0.025)
Log state per-capita GDP −4.69 0.40**
(7.392) (0.167)
Regression statistics
Constant −0.13
(0.138)
R-squared 0.051 0.093 0.315
Adjusted R-squared 0.034 0.065 0.152
Number of villages 1300 1300 1300

Source: Authors' calculations. Notes: Robust standard errors clustered at the district-level are in parentheses. Infrastructure index variable uses availability of four items (drinking water, toilets, electricity, and library) with higher values representing better infrastructure; similarly remoteness index uses distances to nine sets of facilities, with higher values representing more remote villages. Regressions are weighted by SCR's population. *** Significant at 1%, ** significant at 5%, * significant at 10%.