Consider a regression study involving wages in as the y var
Consider a regression study involving wages in $ as the y variable and the x variables are years of experience, and years of education. Suppose you have the following data
Person Years of experience Years of education
1 4 11
2 2 20
3 10 12
4 13 14
5 25 16
If you create variable called low_experience which equals 1 if the person has less than 5 years of experience, and 0 otherwise, which person would be coded as1 and which as 0 [2]
If you create variable called medium_experience which equals 1 if the person has between 5 and 15 years of experience, and 0 otherwise, which person would be coded as1 and which as 0 [2]
If you create variable called high_experience which equals 1 if the person has more than 15 years of experience, and 0 otherwise, which person would be coded as1 and which as 0 [2]
Suppose you estimate the following regression
Y= 5.5 + 10Years of Education + 10Medium_Experience + 19High_Experience
Interpret the coefficient on years of education [3]
Why can you not include 3 dummy variables in the above regression [4]
Interpret the constant [3]
Interpret the coefficient on Medium_Experience [3]
Interpret the coefficient on High_Experience [3]
Solution
A)
Person Years of experience Years of education LOW EXP
1 4 11 1
2 2 20 1
3 10 12 0
4 13 14 0
5 25 16 0
B)
Person Years of experience Years of education MED EXP
1 4 11 0
2 2 20 0
3 10 12 1
4 13 14 1
5 25 16 1
C)
Person Years of experience Years of education HIGH EXP
1 4 11 0
2 2 20 0
3 10 12 0
4 13 14 0
5 25 16 1
D)
Y= 5.5 + 10Years of Education + 10Medium_Experience + 19High_Experience
HERE COEFFICIENT OF EDUCATION IS 10 WHICH MEANS THAT EVERY NUMBER OF EDUCATION WILL BE MULTIPLIED BY A NUMBER 10 TO GIVE IT A GENERAL VALUE AMONG ALL THE DIFFERENT 5 PERSON, BY THIS WE WILL GET A GENERALISATION TREND TOWARDS THE EDUCATION.

