Highlights
This is an individual assignment where you must work alone. You must submit an electronic copy of your assignment in Canvas in pdf, doc or docx format. Hard copies will not be accepted. Show your calculations (if any) as well as answering the questions in clear full sentences. Log referrers to natural logarithm!
QUESTION 1
Let’s assume a hedonic price model for housing in Pinkland. Prices are a function of the square meters of the land on which the house stands, the number of rooms, and NOX emissions. Prices are expressed in pinkies (currency of Pinkland). The model is estimated as follows:
Log(price) = 12.09 + 0.6 * log (sqm_land) + 0.28 * rooms - 0.09 * log (NOX)
N=800
R2 = 0.3
Interpret the intercept
QUESTION 2
We model energy use as follows:
Lntpes_pc = 0+1Lnypcpenn+ 2Lnypcpenn2+3LnGasprice+4LnAnnualprecip+ 5TempColdest+ 6TempWarmest+7ffrents+8LnPop+9LnLand+D_incomegroups+u
The variables are defined as follows:
Lntpes_pc = log of total primary energy consumption per capita (ktoe)
Lnypcpenn =log of GDP per capita (USD)
Lnypcpenn2 = square of log of GDP per capita (USD)
Ln_gasprice = log of pump price for gasoline (USD/liter)
LnAnnualprecip= log of annual precipitation (mm)
Temp_coldest = average temperature for the coldest month in a year (in C)
Temp_warmest= average temperature for the warmest month in a year (in C)
ffrents = Fossil Fuel Rents (% of GDP)
LnPop = log of population (in millions)
LnLand = log of land area (in km2)
Interpret the R-squared.
Describe when is it better to use nonlinear models than linear models, and what types of relationships are best modelled with this. Apart from quadratic models, what type of nonlinear models do you know? Describe with a few sentences.
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