7. Imagine you regress earnings of individuals on a constant, a binary variable ("Male") which takes on the value 1 for males and is 0 otherwise, and another binary variable ("Female ") which takes on the value 1 for females and is 0 otherwise Because females typically earn less than males, you would expect a) the coefficient for Male to have a positive sign, and for Female a negative sign b) the coefficient for Male to have a negative sign, and for Female a positive sign. c) none of the OLS estimators to exist because there is perfect multicollinearity. d) both the coefficient for Male and that for Female to have positive signs

7. Imagine you regress earnings of individuals on a constant, a binary variable ("Male") which takes on the value 1 for males and is 0 otherwise, and another binary variable ("Female ") which takes on the value 1 for females and is 0 otherwise Because females typically earn less than males, you would expect a) the coefficient for Male to have a positive sign, and for Female a negative sign b) the coefficient for Male to have a negative sign, and for Female a positive sign. c) none of the OLS estimators to exist because there is perfect multicollinearity. d) both the coefficient for Male and that for Female to have positive signs

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter1: Fundamental Concepts Of Algebra

Section1.2: Exponents And Radicals

Problem 92E

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