Question

Could I please get an answer to this problem? Thank you.4. Consider the following regression model of log(rage) log(wage)-As + &female + βί educ + u, where wage is hourly wage, female is a dummy variable indicating gender (1 for women and 0 for men), and educ is the number of years of education. Augment the model to allow the return to education to differ by gender

1 0
Add a comment Improve this question Transcribed image text
Answer #1

Answering the question by introducing the Interaction Dummy

Now Retun to eduen to dilbes by Gewdeu ántooduce an itoracion Qummy, (eduex Geudey thus Arug meutd Model- Sofernaletßl eduan

Add a comment
Know the answer?
Add Answer to:
Could I please get an answer to this problem? Thank you. 4. Consider the following regression...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • can I please get an answer to this problem? 3. Consider the following simple model for...

    can I please get an answer to this problem? 3. Consider the following simple model for wages log(wage-Ao + β,educ + u, where wage is the hourly wage and educ is the number of years of education. Define a. gender dummy female equaling 1 for women and 0 for men. Write out an enhanced model to account for possible wage differences between women and men due to the basic wage level and due to amount of education.

  • I have asked an answer for this problem 2 and always get an incorrect answer and...

    I have asked an answer for this problem 2 and always get an incorrect answer and no answers for the comments. can you please check it? 3. Consider the following simple model for wages log(wage)-As + β1 educ + u, where wage is the hourly wage and educ is the number of years of education. Define a gender dummy female equaling 1 for women and 0 for men. Write out an enhanced model to account for possible wage differences between...

  • QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ...

    QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ (1), where wage is hourly wage, measured in dollars, and educ years of formal education. According to (1), a person with no education has a predicted hourly wage of [wagehat] dollars. (NOTE: Write your answer in number format, with 2 decimal places of precision level; do not write your answer as a fraction. Add a leading minus sign symbol, a leading zero and trailing...

  • please help,it is a revision question for my exam tomorrow and i am stuck Question Four...

    please help,it is a revision question for my exam tomorrow and i am stuck Question Four marka (a) You are given the following information on 10 dividual Individual Wage 25.00 12.00 Black White 10.00 15.00 21.00 21.63 7.51 11.00 Black to the alle Create dummy variables for the Race variable and add them to the table. 13 marks] (b) Consider the model WAGE=A+, EDUC+8, EDUC+8,FEMALE+ where WAGE is hourly wape in US dollars, EDUC is years of education, FEMALE is...

  • 1.13 Consider a multiple regression model 1.15 Consider a multiple regression model: with a dummy variable:...

    1.13 Consider a multiple regression model 1.15 Consider a multiple regression model: with a dummy variable: h(wage)-A, + β.educ + β white + β,NonWhite + u where wage and educ denote the annual income and the number of years of education, respectively. White indicates the dummy variable taking 1 if white and zero otherwisc. Non White indicates the dummy variable taking 1 if non-white (African, Hispanic, Asian, Pacific Islander, Native American, etc.) and zero otherwise. Which of the following is...

  • Consider the following model for wage: log(wage) = ?0 + ?1female + ?2married + ?3educ +...

    Consider the following model for wage: log(wage) = ?0 + ?1female + ?2married + ?3educ + ?4exper + u where educ is years of education, exper is years of experience, female = 1 if individual is a woman, = 0 otherwise, and married = 1 if individual is married, = 0 otherwise. (a) What is the benchmark group in this model? 1 (b) Modify this model (using interaction terms) so that the return to education can vary by marital status....

  • a. (5) From the multiple regression model we want to test the following hypothesis: Ho: β1-0...

    a. (5) From the multiple regression model we want to test the following hypothesis: Ho: β1-0 and β2-β3 and β5-1 Rewrite the null hypothesis Ho in the form of RB-r using the matrix R and two vectors B and r b. (5) Consider the following wage regression result: log(wage) 3.240.06educ 0.51Female 0.01educ Female, where educ denotes years of education and Female is a dummy variable for females. What is the return to schooling for male workers? What is the return...

  • ? ANSWER FROM LETTER "E" AND DOWNWARDS III- (15pts) You are given the following economic model...

    ? ANSWER FROM LETTER "E" AND DOWNWARDS III- (15pts) You are given the following economic model 0.013 -$26 Rsquare- 0.4177 0.0012ten (0.00024 log(wage) 0.478 + 0.085edu + 0.059ten-0.058/emale-0.01 ledu.female-0.02 1/emale./en- Std errors (0.113) (0.008) (0.007) (0.174) (0.006 With all the variables described as follows: log(wage) -log of average hourly wage; female is a dummy variable equal to 1 if the observed person is a female, and O if make; edu female is an interaction variable equal to education'female; edu is...

  • hi can someone answer part e) f) g) h) with workings olease thanks 2) A cross-sectional study suggests the following wage equation: In(wage,)-α + βι EDUC' + β:FEMALE + β3EXPER, + β4FEMALE EXP...

    hi can someone answer part e) f) g) h) with workings olease thanks 2) A cross-sectional study suggests the following wage equation: In(wage,)-α + βι EDUC' + β:FEMALE + β3EXPER, + β4FEMALE EXPERi + ei Where: In(wage): Natural logarithm of f hourly wage; EDUC: Years of education; EXPER: Years of work experience; FEMALE: Dummy which equals 1 if the respondent is female and 0 otherwise; FEMALE EXPER:Interaction between FEMALE, and EXPER a) What is meant by the population level regression...

  • III-(15pts) You are given the following estimated equation: log(wage)- 0.18+0.093edu +0.044exp+0.043 female-0.016edu female-0.010exp female-0.00068 exp (0.0001) 0.014) 0.4160 0.003 Std errors (0....

    III-(15pts) You are given the following estimated equation: log(wage)- 0.18+0.093edu +0.044exp+0.043 female-0.016edu female-0.010exp female-0.00068 exp (0.0001) 0.014) 0.4160 0.003 Std errors (0.132) (0.009) (0.005) (0.196) n-526 R-square With all the variables described as follows: logiwage)-log of average hourly wage: female is a dummy variable equal to 1 if the observed person is a female, and 0 if male; edu female is an interaction variable equal to education 'female; edu is the number of years of schooling exp is the number...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT