Skip to main content

Table 3 Effects of various explanatory variables on GDP per capita

From: Impact of disaster-related mortality on gross domestic product in the WHO African Region

variable elasticity (t statistic) Slope coefficient1 (t statistic) P > |t|
log (D) 0.043 (1.19) 380.358 (1.19) 0.243
log (L) -0.010 (-1.22) -0.0000036 (-1.22) 0.232
log (K) 0.545 (2.33)* 53.120 (2.33)* 0.025
log (LE) 1.396 (2.45)* 58.702 (2.45)* 0.019
log (EN) 0.647 (3.01)* 29.759 (3.01)* 0.005
log (X) 0.698 (3.68)* 45.863 (3.68)* 0.001
log (M) -1.065 (-3.67)* -49.772 (-3.67)* 0.001
log (DS) -0.102 (-2.08)* -0.018 (-2.08)* 0.044
constant 0.261 (0.12)   0.907
Number of observations = 45
F(8, 36) = 13.18
Prob > F = 0.0000
Adjusted R-Squared = 0.6888
  1. 1Average (across the 45 countries) GDP per capita and those for individual explanatory variables are used in estimating the slope coefficients. * means that the variable has a statistically significant impact on GDP per capita at 95% level of significance.