Suppose that a researcher, using wage data on 250 randomly selected male workers and 280 female workers, estimates the OLS regression Wage 12.52 + 2.12 X Male, R2= 0.06, SER = 4.2, %3D (0.23) (0.36) where Wage is measured in dollars per hour and Male is a binary variable that is equal to 1 if the person is a male and 0 if the person is a female. Define the wage gender gap as the difference in mean earnings between men and women. a. What is the estimated gender gåp? b. Is the estimated gender gap significantly different from 0? p-value for testing the null hypothesis that there is no gender gap.) te the c. Construct a 95% confidence interval for the gender gap. d. In the sample, what is the mean wage of women? Of men?

Suppose that a researcher, using wage data on 250 randomly selected male workers and 280 female workers, estimates the OLS regression Wage 12.52 + 2.12 X Male, R2= 0.06, SER = 4.2, %3D (0.23) (0.36) where Wage is measured in dollars per hour and Male is a binary variable that is equal to 1 if the person is a male and 0 if the person is a female. Define the wage gender gap as the difference in mean earnings between men and women. a. What is the estimated gender gåp? b. Is the estimated gender gap significantly different from 0? p-value for testing the null hypothesis that there is no gender gap.) te the c. Construct a 95% confidence interval for the gender gap. d. In the sample, what is the mean wage of women? Of men?

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.EA: Extended Application Using Extrapolation To Predict Life Expectancy

Problem 6EA

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