Use R to Run a Cross-sectional Regression on GDP

Assignment Task

Use R to run a cross-sectional regression on GDP per capita for the listed countries as follows:

• Ln(GDPpc) = β_0+β_1 ln(Conspc)+ β_2 Trade+β_3 Alco+β_4 Popgr+u

The variables are defined as follows:

• GDPpc = GDP per capita, PPP (current international $)
• Conspc = Households and NPISHs final consumption expenditure per capita (constant 2015 US$) [NE.CON.PRVT.PC.KD]
• Trade = Trade (% of GDP) [NE.TRD.GNFS.ZS]
• Alco = Total alcohol consumption per capita (liters of pure alcohol, 15+ years of age) 
• Popgr = Population growth (annual %) [SP.POP.GROW]
• You will have to take the natural log of GDPpc and Consumption per capita yourself using R!
• Present your regression results in a table below (R output):
• Run the regression in Q1 with an additional independent variable, the quadratic form of “Popgr”.
• Ln(GDPpc) = β_0+β_1 ln(Conspc)+ β_2 Trade+β_3 Alco+β_4 Popgr+β_5 〖Popgr〗^2+ u

This Engineering has been solved by our PHD Experts at My Uni Paper.