Hey I'm having trouble with this textbook question - could someone provide the solution and steps to this problem - thanks in advance :) ! Let male1=1 for male and =0 for female and let disability1 equal to 1 for disabled and 0 for not disabled and maleage = ecage26*male1

regress atinc42 ecage26 malel maleage Source df MS Number of obs = 47705 ( 3, 47701) = 907 . 38 Model 2. 3260e+12 3 7. 7535e+11 Prob > F 0. 0000 Residual 4. 0760e+13 47701 854496599 R-squared = 0.0540 Adj R-squared = 0. 0539 Total 4. 3086e+13 47704 903202919 Root MSE 29232 atinc42 Coef. Std. Err. t P>ItI [95% Conf. Interval] ecage26 72 . 6103 10. 13666 7.16 0. 000 52. 74231 92 . 47829 malel 2791 . 582 753. 175 3.71 0. 000 1315.348 4267 . 815 maleage 196. 8107 14. 64098 13. 44 0. 000 168 . 1141 225. 5072 cons 24841 . 38 527. 7683 47.07 0. 000 23806. 95 25875 . 82 QUESTION 2. (a) Estimate the following linear regression: atinc42 = B1 + 82 * ecage26 + By * male1 + B4 * maleage +e Dependent Variable: After Tax Income (atinc42) Independent Variables: (1) Constant (this is included automatically - you do not need to do anything) (2) Person's age in reference year (ecage26) (3) male1 (4) maleage (b) What is the estimated effect of age on after tax income for a female? What is the estimated effect of age on after tax income for a male? (c) Consider the following hypothesis: the effect of age on after tax income is identical for males and females. Conduct a statistical test to verify if the data support that hypothesis. Use a level of significance of 5% and explain how you proceed. Hint: all the information you need to conduct this test appears on the regression output from part (a). State at least one economic reason that could explain why this hypothesis is rejected