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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.