Suppose you are interested in the factors that explain GDP all over the world.You gather data for the most recent year on GDP,Education level,Household Consumption,and Number of People Employed for every country in the world and you specify the following model. $$\begin{array} { ll }
\log ( G D P ) = &\beta _ { 0 } + \beta _ { 1 } \text { Education Level } + \beta _ { 2 } \text { Household Consumption } \
&+ \beta _ { 3 } \text { Num People Employed } + \varepsilon \
\end{array}$$
a)You are able to find data for GDP,Household Consumption,Number of People Employed for every country but Education Level is missing for 40% of the countries.What are your options when estimating this model?
b)What type of countries do you think have missing data for Education Level? Why?
c)If you ran a regression with only the 60% of countries that don't have missing values,do you think your results would be different than if you had been able to gather data on all countries? Why or why not?

Question

Suppose you are interested in the factors that explain GDP all over the world.You gather data for the most recent year on GDP,Education level,Household Consumption,and Number of People Employed for every country in the world and you specify the following model. $$\begin{array} { ll } 
\log ( G D P ) = &\beta _ { 0 } + \beta _ { 1 } \text { Education Level } + \beta _ { 2 } \text { Household Consumption } \
&+ \beta _ { 3 } \text { Num People Employed } + \varepsilon \
\end{array}$$ 
a)You are able to find data for GDP,Household Consumption,Number of People Employed for every country but Education Level is missing for 40% of the countries.What are your options when estimating this model?
b)What type of countries do you think have missing data for Education Level? Why?
c)If you ran a regression with only the 60% of countries that don't have missing values,do you think your results would be different than if you had been able to gather data on all countries? Why or why not?

Quizplus · Accepted Answer

The Answer of Suppose you are interested in the factors that explain GDP all over the world.You gather data for the most recent year on GDP,Education level,Household Consumption,and Number of People Employed for every country in the world and you specify the following model. $$\begin{array} { ll } 
\log ( G D P ) = &\beta _ { 0 } + \beta _ { 1 } \text { Education Level } + \beta _ { 2 } \text { Household Consumption } \
&+ \beta _ { 3 } \text { Num People Employed } + \varepsilon \
\end{array}$$ 
a)You are able to find data for GDP,Household Consumption,Number of People Employed for every country but Education Level is missing for 40% of the countries.What are your options when estimating this model?
b)What type of countries do you think have missing data for Education Level? Why?
c)If you ran a regression with only the 60% of countries that don't have missing values,do you think your results would be different than if you had been able to gather data on all countries? Why or why not?

Suppose You Are Interested in the Factors That Explain GDP