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?
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?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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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