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

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