Consider the Following Data for Men and Women: If

Consider the following data for men and women: If a regression estimates the return to experience for men, β_M, to be 0.25, how much of the average difference in wages can be attributed to differences in work experience and how much can be attributed to discrimination and/or unobservable characteristics?

A) $0.00 to differences in work experience; $2.50 to discrimination/unobservable characteristics.
B) $1.20 to differences in work experience; $1.30 to discrimination/unobservable characteristics.
C) $1.30 to differences in work experience; $1.20 to discrimination/unobservable characteristics.
D) $1.50 to differences in work experience; $1.00 to discrimination/unobservable characteristics.
E) $2.50 to differences in work experience; $0.00 to discrimination/unobservable characteristics.