Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using 1998 Data from the Curren Population Survey. Dependent variable: average hourly earnings (AHE). Regressor College (X₁) Female (X₂) Age (X3) Northeast (X4) Midwest (X5) South (X₁) A. True. OB. False. Intercept Summary Statistics and Joint Tests F-statistic for regional effects=0 SER R² n (1) 5.42 (0.24) -2.63 (0.22) 12.62 (0.15) 6.27 0.195 3462 (2) 5.34 (0.24) -2.96 (0.22) 0.24 (0.02) 4.23 (1.09) 6.22 0.104 3462 (3) 5.32 (0.24) -2.96 (0.22) 0.24 (0.02) 0.56 (0.21) 0.59 (0.29) -0.22 (0.23) 3.51 (1.06) 6.11 6.21 0.118 3462 Note: The numbers in parentheses below each estimated coefficient are the estimated standard errors. valuate the following statement: "In all of the regressions, the coefficient on Female is negative, large, and statistically significant. This provides rong statistical evidence of gender discrimination in the U.S. labor market." int: Consider two identical workers that differ only in gender, and think about the causal relationship between earnings and gender.
Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using 1998 Data from the Curren Population Survey. Dependent variable: average hourly earnings (AHE). Regressor College (X₁) Female (X₂) Age (X3) Northeast (X4) Midwest (X5) South (X₁) A. True. OB. False. Intercept Summary Statistics and Joint Tests F-statistic for regional effects=0 SER R² n (1) 5.42 (0.24) -2.63 (0.22) 12.62 (0.15) 6.27 0.195 3462 (2) 5.34 (0.24) -2.96 (0.22) 0.24 (0.02) 4.23 (1.09) 6.22 0.104 3462 (3) 5.32 (0.24) -2.96 (0.22) 0.24 (0.02) 0.56 (0.21) 0.59 (0.29) -0.22 (0.23) 3.51 (1.06) 6.11 6.21 0.118 3462 Note: The numbers in parentheses below each estimated coefficient are the estimated standard errors. valuate the following statement: "In all of the regressions, the coefficient on Female is negative, large, and statistically significant. This provides rong statistical evidence of gender discrimination in the U.S. labor market." int: Consider two identical workers that differ only in gender, and think about the causal relationship between earnings and gender.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 26PFA
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