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A “Cobb–Douglas” production function relates production (Q) to factors of production, capital (K), labor (L), and...

A “Cobb–Douglas” production function relates production (Q) to factors of production,
capital (K), labor (L), and raw materials (M), and an error term u using the equation:
? = ???1??2M?3? ?, where ?, ?1, ?2, and ?3 are production parameters.


a) Suppose that you have data on production and the factors of production from a
random sample of firms with the same Cobb–Douglas production function. How
would you propose to use OLS regression analysis to estimate the above production
parameters, which is a nonlinear function?

b) Based on your regression model, how to interpret ?, ?1, ?2, and ?3? Suppose that
you believe that the marginal return of labor is not a constant but rather increases
when K increases. How could you modify your model to capture this effect?

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Answer #1

(a) The production function es given as : Q=AK L Me, which is nonlinear. Hawever, this can be linearize with ligarithmic trea

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