(Requires advanced material)Only one of the following models can be estimated by OLS : a. $Y = A K ^ { \alpha } L ^ { \beta } + u$.
b. $\operatorname { Pr } ( Y = 1 \mid X ) = \Phi \left( \beta _ { 0 } + \beta _ { 1 } X \right)$.
c. $\operatorname { Pr } ( Y = 1 \mid X ) = F \left( \beta _ { 0 } + \beta _ { 1 } X \right) = \frac { 1 } { 1 + e ^ { - \left( \beta _ { 0 } + \beta _ { 1 } X \right) } }$.
d. $Y = A K ^ { \alpha } L ^ { \beta } u$.

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The Answer of (Requires advanced material)Only one of the following models can be estimated by OLS : a. $Y = A K ^ { \alpha } L ^ { \beta } + u$.
b. $\operatorname { Pr } ( Y = 1 \mid X ) = \Phi \left( \beta _ { 0 } + \beta _ { 1 } X \right)$.
c. $\operatorname { Pr } ( Y = 1 \mid X ) = F \left( \beta _ { 0 } + \beta _ { 1 } X \right) = \frac { 1 } { 1 + e ^ { - \left( \beta _ { 0 } + \beta _ { 1 } X \right) } }$.
d. $Y = A K ^ { \alpha } L ^ { \beta } u$.

(Requires Advanced Material)Only One of the Following Models Can Be Y=AKαLβ+uY = A K ^ { \alpha } L ^ { \beta } + uY=AKαLβ+u

(Requires Advanced Material)Only One of the Following Models Can Be $Y = A K ^ { \alpha } L ^ { \beta } + u$