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

From: Is malaria illness among young children a cause or a consequence of low socioeconomic status? evidence from the united Republic of Tanzania

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. 1* Indicates statistical significance at the 0.05 significance level or better.
  2. 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.