Using person-level data on wages from a country where men have more access to education than women, a labor economist estimates the following OLS regression relating the wage to various socioeconomic attributes: wage = 3 + 0.08male + 0.5education + 0.1experience where male is a dummy indicating whether the individual is a male, education is the individual's level of education in years, and experience is the individual's level of work experience in years. The wage is measured in dollars. Interpret the coefficient of the male dummy. The researcher attributes the positive coefficient of the male dummy to the fact that men have more access to education, and education has a positive effect on the wage. Do you agree with this explanation? Why or why not?

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
Section1.2: The Least Square Line
Problem 8E
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Using person-level data on wages from a country where men have more access to
education than women, a labor economist estimates the following OLS regression
relating the wage to various socioeconomic attributes:
5.
wage = 3 + 0.08male + 0.5education + 0.1experience
where male is a dummy indicating whether the individual is a male, education is the
individual’s level of education in years, and experience is the individual's level of
work experience in years. The wage is measured in dollars. Interpret the coefficient of
the male dummy.
The researcher attributes the positive coefficient of the male dummy to the fact that
men have more access to education, and education has a positive effect on the wage.
Do you agree with this explanation? Why or why not?
Transcribed Image Text:Using person-level data on wages from a country where men have more access to education than women, a labor economist estimates the following OLS regression relating the wage to various socioeconomic attributes: 5. wage = 3 + 0.08male + 0.5education + 0.1experience where male is a dummy indicating whether the individual is a male, education is the individual’s level of education in years, and experience is the individual's level of work experience in years. The wage is measured in dollars. Interpret the coefficient of the male dummy. The researcher attributes the positive coefficient of the male dummy to the fact that men have more access to education, and education has a positive effect on the wage. Do you agree with this explanation? Why or why not?
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