You are planning to estimate a short-run production function for your firm, and you have collected the following data on labor usage and output.

Labor usage output
3 1
7 2
9 3
11 5
17 8
17 10
20 15
24 18
26 22
28 21
30 23

(a) Does a cubic equation appear to be a suitable specification, given this data? You may wish to construct a scatter diagram to help you answer this question.
(b) using a computer and software for regression analysis, estimate your firm's short-run production function using the data given here. Do the parameter estimate have the appropriate alegebraic signs? Are they statistically significant at the 5 percent level?
(c) At what point do you estimate marginal product begins to fall?
(d) Calculate estimates of total, average, and marginal products when the firm employs 23 workers.
(e) When the firm employs 23 workers, is short-run marginal cost (SMC) rising or falling? How can you tell?

a) do a scatter plot as suggested.
b) estimate several equations, be sure to do an OLS as well as a cubic.
c,d,e) repost if you are having trouble interpreting your results.

What is a OLS?

Sorry bout that.

Ordinary Least Squares

which is your standard linear regression methodology.

I did a polynomial curve using excel, do I need to also do a OLS as well, or could I come up with the same answers either way. What is the difference between the two?

Sorry bout that.

Ordinary Least Squares

which is your standard linear regression methodology.

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