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
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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.

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 (X1)
8.31
(0.23)
8.32
(0.22)
8.34
(0.22)
Female (X2)
-3.85
(0.23)
-3.81
(0.22)
-3.80
(0.22)
0.51
(0.04)
0.52
(0.04)
Age (X3)
0.18
(0.36)
Northeast (X4)
-1.23
(0.31)
Midwest (Xs)
-0.43
(0.30)
South (X6)
17.02
(0.17)
1.87
(1.18)
2.05
(1.18)
Intercept
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
Transcribed Image Text: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 (X1) 8.31 (0.23) 8.32 (0.22) 8.34 (0.22) Female (X2) -3.85 (0.23) -3.81 (0.22) -3.80 (0.22) 0.51 (0.04) 0.52 (0.04) Age (X3) 0.18 (0.36) Northeast (X4) -1.23 (0.31) Midwest (Xs) -0.43 (0.30) South (X6) 17.02 (0.17) 1.87 (1.18) 2.05 (1.18) Intercept 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
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