Consider the population regression of log earnings [Y₁, where Y,= In(Earnings;)] against two binary variables: whether a worker is married (D₁, where D₁ = 1 if the person is married) and the worker's gender (D2), where D₂ = 1 if the th person is female), and the product of the two binary variables Y₁ = Po + B₁ D₁1 + P₂D21+P3 (D₁1XD₂1) + Hi- The interaction term: OA. indicates the effect of being married on log earnings. B. does not make sense since it could be zero for married males. OC. allows the population effect on log earnings of being married to depend on gender. OD. cannot be estimated without the presence of a continuous variable.
Consider the population regression of log earnings [Y₁, where Y,= In(Earnings;)] against two binary variables: whether a worker is married (D₁, where D₁ = 1 if the person is married) and the worker's gender (D2), where D₂ = 1 if the th person is female), and the product of the two binary variables Y₁ = Po + B₁ D₁1 + P₂D21+P3 (D₁1XD₂1) + Hi- The interaction term: OA. indicates the effect of being married on log earnings. B. does not make sense since it could be zero for married males. OC. allows the population effect on log earnings of being married to depend on gender. OD. cannot be estimated without the presence of a continuous variable.
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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