- A Run A Regression Of Average Hourly Earnings Ahe On Age Age Remeber To Use The Robust Option To Obtain The Het 1 (105.99 KiB) Viewed 26 times
- A Run A Regression Of Average Hourly Earnings Ahe On Age Age Remeber To Use The Robust Option To Obtain The Het 2 (15.15 KiB) Viewed 26 times
- A Run A Regression Of Average Hourly Earnings Ahe On Age Age Remeber To Use The Robust Option To Obtain The Het 3 (17.32 KiB) Viewed 26 times
please answer the all question
(a) Run a regression of average hourly earnings (AHE) on age (AGE). Remeber to use the "robust" option to obtain the heteroskedasticity-robust standard error. What is the estimates of 3o (intercept) and 3₁ (slope)? (b) Run a regression of AHE on Age, gender (Female), and education (Bachelor). What is the estimated effect of Age on earnings? Report a 95% confidence interval for the coefficient on Age in the regression. (c) For the regression in (b), test the null hypothesis that the coefficient on education (Bachelor) is equal to 7. (d) Are the results from the regression in (b) substantially different from the result in (a) regarding the effects of Age on AHE? (e) Bob is 26-year-old worker with a high school diploma. Predict Bob's earnings using the estimated regression in (b). Alexis is a 30-year-old female worker with a college degree. Predict Alexis's earnings using the regression in (b). (f) Are gender and education determinants of earnings? Test the null hypothesis that coefficients on Female and Bachelor are both zero. (g) The regression in (a) will suffer from omitted variable bias when two conditions hold. Suppose the omitted variables are Female and Bachelor. What are these conditions? Do these conditions seem to hold here?
reg ahe age Source Model Residual Total ahe age cons df 1 7,984 7,985 Coef. Std. Err. .0335255 1.00223 SS 13631.8133 598935.455 612567.269 .4519313 3.324185 Number of obs F (1, 7984) Prob > F R-squared Adj R-squared Root MSE MS 13631.8133 75.0169658 76.7147487 t P> |t| 13.48 0.000 3.32 0.001 7,986 181.72 0.0000 0.0223 0.0221 8.6612 [95% Conf. Interval] .3862126 .5176501 1.359552 5.288817 || || || || || = II
reg ahe age female bachelor Source SS Model 116386.54 Residual 496180.729 Total 612567.269 ahe age female bachelor cons df 3 7,982 7,985 Coef. Std. Err. .4392042 .0305286 -3.157864 6.86515 1.883798 MS 38795.5133 62.1624566 76.7147487 t P> |t| 14.39 0.000 0.000 38.49 0.000 2.05 0.041 .1803647 -17.51 .1783686 .9202918 Number of obs F (3, 7982) Prob > F R-squared Adj R-squared Root MSE 7,986 624.10 0.0000 = 0.1900 = 0.1897 = 7.8843 [95% Conf. Interval] .3793601 .4990482 -3.511426 -2.804302 6.515501 7.214799 .0797852 3.68781