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book Basic Econometrics 5th Edition by Damodar Gujarati,Dawn Porter cover

Basic Econometrics 5th Edition by Damodar Gujarati,Dawn Porter

Edition 5ISBN: 978-0073375779
book Basic Econometrics 5th Edition by Damodar Gujarati,Dawn Porter cover

Basic Econometrics 5th Edition by Damodar Gujarati,Dawn Porter

Edition 5ISBN: 978-0073375779
Exercise 5
Consider the Cobb-Douglas production function Consider the Cobb-Douglas production function    where Y = output, L = labor input, and K = capital input. Dividing (1) through by K, we get    Taking the natural log of (2) and adding the error term, we obtain    Where 0= In 1  a. Suppose you had data to run the regression (3). How would you test the hypothesis that there are constant returns to scale, i.e., ( 2 + 3 ) = 1 b. If there are constant returns to scale, how would you interpret regression (3) c. Does it make any difference whether we divide (1) by L rather than by K
where Y = output, L = labor input, and K = capital input. Dividing (1) through by K, we get Consider the Cobb-Douglas production function    where Y = output, L = labor input, and K = capital input. Dividing (1) through by K, we get    Taking the natural log of (2) and adding the error term, we obtain    Where 0= In 1  a. Suppose you had data to run the regression (3). How would you test the hypothesis that there are constant returns to scale, i.e., ( 2 + 3 ) = 1 b. If there are constant returns to scale, how would you interpret regression (3) c. Does it make any difference whether we divide (1) by L rather than by K
Taking the natural log of (2) and adding the error term, we obtain Consider the Cobb-Douglas production function    where Y = output, L = labor input, and K = capital input. Dividing (1) through by K, we get    Taking the natural log of (2) and adding the error term, we obtain    Where 0= In 1  a. Suppose you had data to run the regression (3). How would you test the hypothesis that there are constant returns to scale, i.e., ( 2 + 3 ) = 1 b. If there are constant returns to scale, how would you interpret regression (3) c. Does it make any difference whether we divide (1) by L rather than by K
Where 0= In 1
a. Suppose you had data to run the regression (3). How would you test the hypothesis that there are constant returns to scale, i.e., ( 2 + 3 ) = 1
b. If there are constant returns to scale, how would you interpret regression (3)
c. Does it make any difference whether we divide (1) by L rather than by K
Explanation
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Basic Econometrics 5th Edition by Damodar Gujarati,Dawn Porter
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