You would like to find the effect of gender and marital status on earnings. As a result, you consider running the following regression:
ahe_i= β₀ + β₁×DFemme_i+ β₂×DMarr_i + β₃×DSingle_i + β₄×educ_i+...+ u_i
Where ahe is average hourly earnings, DFemme is a binary variable which takes on the value of "1" if the individual is a female and is "0" otherwise, DMarr is a binary variable which takes on the value of "1" if the individual is married and is "0" otherwise, DSingle takes on the value of "1" if the individual is not married and is "0" otherwise. The regression program which you are using either returns a message that the equation cannot be estimated or drops one of the coefficients. Why do you think that is?

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The Answer of You would like to find the effect of gender and marital status on earnings. As a result, you consider running the following regression: ahe_i= β₀ + β₁×DFemme_i+ β₂×DMarr_i + β₃×DSingle_i + β₄×educ_i+...+ u_i Where ahe is average hourly earnings, DFemme is a binary variable which takes on the value of "1" if the individual is a female and is "0" otherwise, DMarr is a binary variable which takes on the value of "1" if the individual is married and is "0" otherwise, DSingle takes on the value of "1" if the individual is not married and is "0" otherwise. The regression program which you are using either returns a message that the equation cannot be estimated or drops one of the coefficients. Why do you think that is?

You Would Like to Find the Effect of Gender and Marital