Estimation of Energy Demand Function
Use the dataset “assignment-data” available on LMS. It has a data by year on US gasoline consumption
(G), gasoline prices (PG), per-capita income (Y), price of new cars (PNC), price of used cars (PUC), and population (POP). By using the data, perform the following tasks:
i. Calculate gasoline per capita consumption (GPC) and draw a line graph and interpret the trend.
[* marks]
Economic theory suggest the following, in relation to a demand function for the gasoline:
GPC = f(PG, Y, PNC, PUC)
With a regression model in log form as follows:
log GPC = logA + B1 log PG + B2 log Y + B3 log PNC + B4 log PUC
(1)
ii. Determine the signs of regression coefficients using economic theory and provide reasoning
iii. Run a simple regression model (by using equation 1 above) and interpret regression coefficients and elasticities and provide reasoning for each coefficient. Are the regression coefficients similar to the economic theory? If not, what could be the reason? Consult some academic literature.
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