2- Use wage data (Data is posted on blackboard) to estimate the following model and answer the questions: Wage=B₁+B; educ+B; exper +ß, gender +ß.race + ßs gender*exper+g Gender-1 for male and gender-0 for female Race=1 for white and race=0 for non-white 1- Interpret all the coefficients. 2- Is there a significant wage difference between white and non-white? at a=0.05< 3- Test for global usefulness of the model at a=0.05.< 4- Test if the experience is a significant determinant of wage at a=0.10.<
2- Use wage data (Data is posted on blackboard) to estimate the following model and answer the questions: Wage=B₁+B; educ+B; exper +ß, gender +ß.race + ßs gender*exper+g Gender-1 for male and gender-0 for female Race=1 for white and race=0 for non-white 1- Interpret all the coefficients. 2- Is there a significant wage difference between white and non-white? at a=0.05< 3- Test for global usefulness of the model at a=0.05.< 4- Test if the experience is a significant determinant of wage at a=0.10.<
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
| WAGE | EDUC | EXPER | AGE | GENDER | RACE |
| 1345 | 6 | 2 | 38 | 0 | 1 |
| 2435 | 4 | 18 | 52 | 1 | 1 |
| 1715 | 6 | 4 | 45 | 1 | 1 |
| 1461 | 6 | 4 | 58 | 1 | 1 |
| 1639 | 9 | 3 | 30 | 1 | 0 |
| 1345 | 5 | 8 | 43 | 0 | 1 |
| 1602 | 7 | 6 | 30 | 0 | 1 |
| 1144 | 4 | 3 | 33 | 0 | 0 |
| 1566 | 6 | 23 | 51 | 1 | 0 |
| 1496 | 4 | 15 | 37 | 1 | 1 |
| 1234 | 4 | 9 | 45 | 0 | 0 |
| 1345 | 6 | 3 | 55 | 0 | 1 |
| 1345 | 5 | 14 | 57 | 0 | 1 |
| 3389 | 9 | 16 | 36 | 1 | 1 |
| 1839 | 4 | 20 | 60 | 1 | 1 |
| 981 | 4 | 5 | 35 | 1 | 0 |
| 1345 | 9 | 10 | 34 | 0 | 1 |
| 1566 | 5 | 4 | 28 | 0 | 0 |
| 1187 | 6 | 1 | 25 | 0 | 1 |
| 1345 | 7 | 10 | 43 | 0 | 1 |
| 1345 | 9 | 2 | 42 | 0 | 1 |
| 2167 | 4 | 17 | 47 | 1 | 0 |
| 1402 | 11 | 2 | 46 | 1 | 1 |
| 2115 | 4 | 15 | 52 | 1 | 0 |
| 2218 | 8 | 11 | 64 | 1 | 1 |
| 3575 | 11 | 1 | 39 | 1 | 1 |
| 1972 | 4 | 1 | 39 | 1 | 1 |
| 1234 | 4 | 2 | 40 | 0 | 1 |
| 1926 | 5 | 9 | 53 | 1 | 0 |
| 2165 | 6 | 15 | 59 | 0 | 1 |
| 2365 | 6 | 12 | 35 | 0 | 0 |
| 1345 | 9 | 5 | 45 | 0 | 1 |
| 1839 | 4 | 14 | 37 | 0 | 0 |
| 2613 | 5 | 14 | 37 | 1 | 1 |
| 2533 | 11 | 3 | 43 | 1 | 1 |
| 1602 | 8 | 5 | 32 | 0 | 1 |
| 1839 | 9 | 18 | 40 | 0 | 1 |
| 2218 | 7 | 1 | 49 | 1 | 1 |
| 1529 | 4 | 10 | 43 | 0 | 0 |
| 1461 | 1 | 10 | 31 | 1 | 0 |
| 3307 | 9 | 22 | 45 | 1 | 1 |
| 3833 | 11 | 3 | 31 | 1 | 1 |
| 1839 | 4 | 14 | 55 | 1 | 0 |
| 1461 | 6 | 5 | 30 | 0 | 1 |
| 1433 | 9 | 3 | 28 | 1 | 0 |
| 2115 | 6 | 15 | 60 | 0 | 0 |
| 1839 | 4 | 13 | 32 | 1 | 0 |
| 1288 | 4 | 9 | 58 | 1 | 0 |
| 1288 | 6 | 4 | 29 | 0 | 0 |
Transcribed Image Text:2- Use wage data (Data is posted on blackboard) to estimate the following model and answer
the questions:
Wage=Bo+ B, educ+ B₂ exper+B3 gender +B4race+Bs gender*exper+&+
Gender-1 for male and gender=0 for female
Race=1 for white and race=0 for non-white
1- Interpret all the coefficients.<
2- Is there a significant wage difference between white and non-white? at a-0.05
3- Test for global usefulness of the model at a=0.05.<
4- Test if the experience is a significant determinant of wage at a=0.10.<
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