archer, using wage per hour data on 250 randomly selected male workers and 280 female workers, estimates the following OLS regression wage - 12.68+2.79xMale (0.18) (0.84) R = 0.06, s-3.10 vhere Male is a dummy variable that takes the value 1 if the worker is male and O if emale: s represents the standard error of the regression and in brackets omoskedastic std errors are reported. The researcher wants to find the gender pay ap as percentage bf the wagé per hour of women. According to this information the ender pay gap on average against women is approximately D-22% -25% -38%
archer, using wage per hour data on 250 randomly selected male workers and 280 female workers, estimates the following OLS regression wage - 12.68+2.79xMale (0.18) (0.84) R = 0.06, s-3.10 vhere Male is a dummy variable that takes the value 1 if the worker is male and O if emale: s represents the standard error of the regression and in brackets omoskedastic std errors are reported. The researcher wants to find the gender pay ap as percentage bf the wagé per hour of women. According to this information the ender pay gap on average against women is approximately D-22% -25% -38%
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 2E
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