Q1: Download the data WDI.zip from the course site.
Q2: Build and estimate a regression to explain the factors which drive infant mortality rates. Justify your modeling choices with economic intuition and econometric evidence. Things you may want to consider include (but are not limited to) logs vs. levels, non-normality, outliers, sample selection, omitted variables, measurement error, multicollinearity, and group/interaction effects.
Q3: Determine whether your regression errors are heteroskedastic and correct for this heteroskedasticity using (i) robust standard errors and (ii) FWLS to obtain a potentially more efficient estimator. Compare all of your results.
Q4: Present and interpret your results thoroughly. Are the factors you isolate casual? Why or why not? What are the most important factors determining infant mortality? Assess the validity and strength of your results.
Attachment:- WDI.zip