Table 2.

Linear coefficient estimates ^(b).

Variables	Coefficients	Std. Dev.	T-Stats.	Other Stats.
CAPGDP	−0.0008	0.0004	−1.86 **
GINI	0.3721	0.0821	4.53 *
POPDENS	0.0001	0.0047	0.03
CAPEXP	−0.0266	0.0056	−4.71 *
CAPBED	1.3648	0.4467	3.06 *
CONSTANT	0.0321	0.0567	0.56
Fisher-Stats (5,271)				12.87 *
R2				0.22
Hausman χ2 (5)-Stats (a)				13.24 *

^*significant at 1% critical level;

^**significant at 10% critical level.

^(a)The significance of the Hausman χ² statistic implies the rejection of the hypothesis of independence between the unobserved effects and the socio-economic variables. Therefore, the result presented in this table is obtained from fixed effects model specification.

^(b)Since the dependent variable is the log of malaria cases per 1,000 people, the linear coefficients could not be directly interpreted as marginal effects but for any regressor i the marginal effect should be calculated as β̂_i * e^β̂Z by using logarithmic functions derivative rule.