Question

In: Economics

You are planning to estimate a short- run production function for your firm, and you have...

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

Labor usage (L) Output (Q)

3 1

7 2

9 3

11 5

17 8

17 10

22 15

24 18

26 22

28 21

30 20

33 19

34 17

a. Please key in the data into MS Excel for regression analysis. Estimate your firm’s short-run production function. Do the parameter estimates have the appropriate algebraic signs? Are they statistically significant at the 5 percent level? (Hint: Run the production function as Q = AL3 +BL2)

b. Please obtain the average product (AP) function and marginal product (MP) function.

c. Calculate estimates of average products (AP) and marginal products (MP) when the firm employs 20 workers.

Solutions

Expert Solution

a. Please key in the data into MS Excel for regression analysis. Estimate your firm’s short-run production function. Do the parameter estimates have the appropriate algebraic signs? Are they statistically significant at the 5 percent level?

Ans:- Data of labour uses and Output are already given . As per regression run we have to find out which one is Dependent and which one is Independent variable and Dependent variable is always a function of independent variable in the econometric functions.So In this case Output is dependent and Labour usage is Independent variable. In the hind they mention that we have to calculate the square and cube of labor usage and that is also fall in the independent variable.

The below table is showing the calculation of Square of Labour Usage and Cube of Labour Usage

Q L L^2 L^3
1 3 9 27
2 7 49 343
3 9 81 729
5 11 121 1331
8 17 289 4913
10 17 289 4913
15 22 484 10648
18 24 576 13824
22 26 676 17576
21 28 784 21952
20 30 900 27000
19 33 1089 35937
17 34 1156 39304

After run the regression in Excel the summary output is mentioned below;

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.98780403
R Square 0.975756801
Adjusted R Square 0.967675735
Standard Error 1.40523345
Observations 13
ANOVA
df SS MS F Significance F
Regression 3 715.3047936 238.4349312 120.7460473 1.37747E-07
Residual 9 17.77212943 1.974681048
Total 12 733.0769231
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 4.9707668 2.471331018 2.011372318 0.075161432 -0.619772354 10.56130595 -0.619772354 10.56130595
L -1.457879615 0.531976978 -2.740493808 0.022829121 -2.661295145 -0.254464086 -2.661295145 -0.254464086
L^2 0.154731911 0.031571155 4.901053309 0.000846417 0.083312998 0.226150824 0.083312998 0.226150824
L^3 -0.002965512 0.000549104 -5.400635049 0.000432647 -0.004207672 -0.001723352 -0.004207672 -0.001723352

After getting all the variable of L, L^2 and L^3 we have to calculate the Output

Q(Output) = 4.9708 - 1.4579*L + 0.1547*L^2 - 0.0029*L^3

All the three value of Labour usage's P value is less than 0.05 but Labour Usage(L) and Labour Usage Cube (L^3) has negative sign of coefficient which means labour usage increase the output will fall but the Labour usage Square(L^2) is statistically significance which not only P value is less than 0.05 the coefficient also positive sign which tell when the labour usage increase the output also increase.

b. Please obtain the average product (AP) function and marginal product (MP) function.

Ans:- After getting the Output equation we can calculate the Marginal and Average Function

Q(Output) = 4.9708 - 1.4579*L + 0.1547*L^2 - 0.0029*L^3

Marginal product(MP) is nothing but its a addition in output due to increase a variable input bye one unit. so the equation of MP is

dQ/dL = - 1.4579+ 0.3094L - 0.0087 L^2

Average Product(AP) is the total out divided by total labour usage and the equation looks like ;

Average Product(AP) = Q/L

Total Output is 161 and Total Labour Usage is 261

= 161/261 = 0.6168

c. Calculate estimates of average products (AP) and marginal products (MP) when the firm employs 20 workers.

Ans:- In our above problem we already got the Marginal Product function which is explain below

Marginal Product ( MP) dQ/dL = - 1.4579+ 0.3094L - 0.0087 L^2

If the Firm employs 20 workers then equation will be

Marginal Product ( MP) dQ/dL = - 1.4579+ 0.3094(20) - 0.0087 (20)^2

= -1.4579 + 6.188- 3.480

= 1.2501

Q(Output) = 4.9708 - 1.4579*L + 0.1547*L^2 - 0.0029*L^3

= 4.9708 - 1.4579*(20) + 0.1547*(20)^2 - 0.0029*(20)^3

= 4.9708 - 29.158 +61.88- 23.2

=14.4928

Average Product (AP) = Q/L

= 14.4928/20

= 0.7646


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