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Table 9 Results of regression model 2b for price of electricity in KWh

From: Enhancing the comparability of costing methods: cross-country variability in the prices of non-traded inputs to health programmes

Number of observations = 60

Adjusted r2 = 0.7923

F statistic = 76.02

p of F statistic < 0.0001

Variable

Coefficient

SE

T

P

ln GDP per capita

-1.090

.0941

-11.58

0.000

ln total electricity consumption

-.1098

.0410

-2.68

0.010

ln percentage of electricity generated from fossil fuel

.107

.0544

1.97

0.054

Constant

.1366

.7399

0.18

0.854

  1. Dependent variable: log ratio of price of electricity in KWh to GDP per capita.
  2. Breusch-Pagan test of heteroskedasticity: 2.55 (p Chi2 = 0.11)
  3. VIF test for multicolinearity:1.20 (less than 2 indicates no multicollinearity)