Skip to main content
. 2024 Apr 30;23:129. doi: 10.1186/s12936-024-04929-8

Table 7.

The short run effect of healthcare expenditure on malaria incidence

Dependent variable:lnmi (1) (2) (3) (4)
Malaria incidence (lag 1) 0.581*** 0.535*** 0.572*** 0.418***
(6.37) (5.86) (6.18) (3.84)
Public health expenditure − 0.158*** − 0.134*** − 0.162*** − 0.165***
(− 4.84) (− 4.11) (− 4.86) (− 5.10)
Public health expenditure (lag 1) 0.159*** 0.147*** 0.155*** 0.130***
(4.21) (4.03) (4.02) (3.39)
Urban population growth 0.820*** 0.481** 0.803*** 0.597***
(3.92) (2.31) (3.79) (2.98)
Urban population growth (lag 1) − 0.809*** − 0.679*** − 0.805*** − 0.646***
(− 3.48) (− 3.11) (− 3.45) (− 2.95)
Female-head Households 0.924*** 0.904*** 0.925*** 0.916***
(7.41) (6.95) (7.39) (7.46)
Female-head household (lag 1) − 0.803*** − 0.771*** − 0.799*** − 0.643***
(− 5.42) (− 5.32) (− 5.37) (− 4.18)
Regulatory quality − 0.129** − 0.129**
(− 2.47) (− 2.46)
GINI coefficient − 1.503*** − 0.977***
(− 3.32) (− 2.72)
Female literacy 0.787**
(2.54)
ECT(-1) − 0.166*** − 0.168*** − 0.169*** − 0.147***
(− 4.26) (− 4.27) (− 4.30) (− 3.57)

Lags are chosen automatically based on AIC; t-values in parentheses; ***p < 0.01, **p < 0.05, *p < 0.1. lnpvhe, lnue_fem, lngdppc, and lngini do not appear because they have zero lags and have no impact in the short run. ECT(-1) is error correction term