Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using 2012 Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor (1) (2) (3) College (X) 8.31 (0.23) 8.32 (0.22) 8.34 (0.22) Female (X2) -3.81 (0.22) -3.80 (0.22) -3.85 (0.23) 0.51 (0.04) Age (X3) 0.52 (0.04) 0.18 (0.36) Northeast (X4) Midwest (Xs) -1.23 (0.31) -0.43 South (X6) (0.30) 17.02 1.87 2.05 Intercept (0.17) (1.18) (1.18) Summary Statistics and Joint Tests 7.38 F-statistic for regional effects = 0 9.79 9.68 9.67 SER 0.162 0.180 0.182 R2 7440 7440 7440
Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using 2012 Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor (1) (2) (3) College (X) 8.31 (0.23) 8.32 (0.22) 8.34 (0.22) Female (X2) -3.81 (0.22) -3.80 (0.22) -3.85 (0.23) 0.51 (0.04) Age (X3) 0.52 (0.04) 0.18 (0.36) Northeast (X4) Midwest (Xs) -1.23 (0.31) -0.43 South (X6) (0.30) 17.02 1.87 2.05 Intercept (0.17) (1.18) (1.18) Summary Statistics and Joint Tests 7.38 F-statistic for regional effects = 0 9.79 9.68 9.67 SER 0.162 0.180 0.182 R2 7440 7440 7440
Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 1E
Related questions
Question
Using the regression results in column (1):
a. Is the college–high school earnings difference estimated from this
regression statistically significant at the 5% level? Construct a 95%
confidence interval of the difference.
b. Is the male–female earnings difference estimated from this regression
statistically significant at the 5% level? Construct a 95% confidence
interval for the difference.
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