Table 5.

Instrumental variables probit regression results for the malaria model (n = 5,340)

Variable	Marginal effect 1	95% Confidence interval 2
		Lower CI	Upper CI
wealth (predicted)	−0.007	−0.041	0.027
age2_yn	* 0.038	0.019	0.058
age3_yn	* 0.034	0.014	0.054
age4_yn	* 0.052	0.030	0.073
farming	0.009	−0.014	0.032
trips	0.0002	−0.006	0.006
education	−0.002	−0.047	0.043
itn_yn	* -0.016	−0.031	−0.001
improof_yn	−0.015	−0.043	0.014
impwall_yn	* -0.047	−0.072	−0.021
irs_yn	* -0.036	−0.070	−0.001
rural_yn	* 0.035	0.005	0.066
nov_yn	0.023	−0.009	0.056
dec_yn	0.032	−0.002	0.066
jan_yn	* 0.043	0.007	0.079
feb_yn	0.042	−0.010	0.093
elevation	* -0.051	−0.069	−0.033
HF_dist	* 0.001	0.00004	0.002
lake_dist	* -0.0002	−0.0004	−0.0001
rain_dev	* 0.229	0.185	0.272
roads10	* -115.882	−150.108	−81.655
rivers3	* 0.673	0.110	1.236
farmland	* 0.193	0.138	0.247
slope_cv	0.012	−0.034	0.058

^1* Indicates statistical significance at the 0.05 significance level or better.

² The estimation of standard errors was adjusted for clustering on households to account for possible non-independence of observations within households. It is expected that children in the same household are similar to each other on account of shared genetics and/or home environment.