Table 5.
Outcome | Fever episode in 2 weeks prior to survey | |
---|---|---|
Linear probability model | Logistic regression model | |
(1) | (2) | |
Treated (midline) | − 0.112** (− 0.200 to − 0.0233) | 0.447*** (0.244 to 0.817) |
Distance | − 0.000580 (− 0.00802 to 0.00686) | 0.996 (0.955 to 1.040) |
Treated* distance | 0.0111*** (0.00384 to 0.0184) | 1.078*** (1.032 to 1.127) |
Baseline | 0.211*** (0.121 to 0.302) | 0.268*** (0.160 to 0.449) |
Observations | 1469 | 1469 |
R-squared | 0.013 |
Multivariable regression results from analysis for treatment effect modification in Angola. Results based on linear probability model are shown in Column 1. Results based on logistic regression model are shown in Column 2. 95% confidence intervals shown in parentheses are based on Huber’s cluster robust variance estimator. Sample is restricted to Angolan villages receiving treatment between baseline and midline
*** p < 0.01, ** p < 0.05, * p < 0.1