Table 4:

Regression of Test Score (TS) Categories on Treatments

	Teaching-Eligible Test Scores			Teaching-Ineligible Test Scores
VARIABLES	General (1)	Preventive (2)	Government (3)	General (4)	Preventive (5)	Government (6)
Incentive	0.0018 (0.0099)	0.0118 (0.0088)	0.0419*** (0.0099)	0.0174 (0.0112)	0.0249*** (0.0090)	0.0422*** (0.0110)
Teaching	0.0265*** (0.0102)	0.0234** (0.0092)	0.0299*** (0.0109)	0.0044 (0.0111)	0.0016 (0.0095)	0.0146 (0.0111)
Incentive plus Teaching	0.0415*** (0.0103)	0.0535*** (0.0087)	0.0749*** (0.0100)	0.0336*** (0.0106)	0.0439*** (0.0094)	0.0538*** (0.0108)
$\widehat{\lambda }$	0.0133 (0.0157)	0.0183 (0.0136)	0.0031 (0.0154)	0.0118 (0.0166)	0.0173 (0.0141)	-0.0030 (0.0165)
Observations	2,117	2,117	2,117	2,117	2,117	2,117
R-squared	0.206	0.257	0.189	0.117	0.080	0.139
Control Mean DV	0.797	0.827	0.789	0.782	0.710	0.790
Control SD DV	0.189	0.170	0.202	0.191	0.157	0.202
p-value: Incentive =Teaching	0.0354	0.276	0.309	0.313	0.0289	0.0268
p-value: Incentive =Joint	0.000845	3.64e-05	0.00254	0.193	0.0732	0.344
p-value: Teaching =Joint	0.213	0.00365	0.000135	0.0182	0.000110	0.00143

Notes: Columns 1-3: the Teaching-Eligible test scores for knowledge categories, the share of correct answers at endline to the 6 questions on general knowledge, 8 questions on preventive actions, and 6 questions on government policy, respectively. Columns 4-6: the Teaching-Eligible test scores for knowledge categories, the share of correct answers at endline to the 6 questions on general knowledge, 8 questions on preventive actions, and 6 questions on government policy, respectively. $\lambda$ is the complementarity parameter (see Section 2 of main text). $\widehat{\lambda }$ is coefficient on “Incentive plus Teaching” (Joint) minus sum of coefficients on “Incentive” and “Teaching”. All regressions also include community fixed effects and controls for pre-treatment (Rounds 1 and 2) Test Scores. Robust standard errors in parentheses. *** p<0.01, ** p<0.05, * p<0.1.