
(a)
Complete the table.
(a)

Explanation of Solution
The marginal product is the additional output produced due to the employment of an additional unit of labor. The marginal product can be obtained using Equation 1 as given below:
Substitute the respective values in Equation (1) to calculate the marginal product.
The marginal product of first worker is 20.
Total revenue can be calculated using Equation (2) as follows:
Substitute the respective values in Equation (2) to calculate the total revenue.
The total revenue from one worker is $240.
When the price of the soccer ball is $12 per ball, the marginal revenue product can be calculated using Equation (3) as follows:
Substitute the respective values in Equation (3) to calculate the marginal revenue product.
The marginal revenue product of first labor is $240.
Table 1 shows the values of marginal product, total revenue, and marginal revenue product, which are obtained using Equations (1), (2), and (3).
Table 1
Number of Workers | Number of Soccer Balls Produced Per Day | Marginal Product | Total Revenue | Marginal Revenue Product |
0 | 0 | — | $0 | — |
1 | 20 | 20 | 240 | $240 |
2 | 50 | 30 | 600 | 360 |
3 | 90 | 40 | 1,080 | 480 |
4 | 140 | 50 | 1,680 | 600 |
5 | 180 | 40 | 2,160 | 480 |
6 | 210 | 30 | 2,520 | 360 |
7 | 238 | 28 | 2,856 | 336 |
8 | 256 | 18 | 3,072 | 216 |
9 | 270 | 14 | 3,240 | 168 |
10 | 280 | 10 | 3,360 | 120 |
Marginal product: Marginal product is defined as the additional output produced by increasing the input factor by one unit.
Marginal revenue product: Marginal revenue product is defined as the additional revenue earned by a firm using one additional unit of an input.
Total revenue: Total revenue is defined as the total income earned from the sale of output produced.
(b)
Marginal revenue product.
(b)

Explanation of Solution
Substitute the respective values in Equation (2) to calculate the total revenue.
The total revenue from four workers is $1,680.
Substitute the respective values in Equation (2) to calculate the total revenue.
The total revenue from four workers is $2,160.
The marginal revenue product can be calculated using Equation (4) as follows:
Substitute the respective values in Equation (4) to calculate the marginal revenue product.
The marginal revenue product of fifth worker is $480.
Calculation of marginal revenue product using marginal product.
Substitute the respective values in Equation (4) to calculate the marginal revenue product.
The marginal revenue product of fifth worker is $480.
Thus, it is verified that marginal revenue product can be calculated using both methods.
Marginal product: Marginal product is defined as the additional output produced by increasing the input factor by one unit.
Marginal revenue product: Marginal revenue product is defined as the additional revenue earned by a firm using one additional unit of an input.
(c)
The numbers of workers to be hired.
(c)

Explanation of Solution
The firm should hire workers as long as the marginal revenue product of labor is greater than the wage rate. If the firm continues operation, at wage rate equal to $320, the firm should employ 7 workers. This is because the marginal revenue product of the 7th worker is $336, and when the 8th laborer is employed, the marginal revenue product of labor falls to $216.
Marginal revenue product: Marginal revenue product is defined as the additional revenue earned by a firm using one additional unit of an input.
(d)
The numbers of workers to be hired.
(d)

Explanation of Solution
When the wage rate increases to $400, the number of workers to be hired reduces to 5. The marginal revenue product of the 5th laborer is $480, which is greater than the wage rate. When the 6th worker is employed, the marginal revenue product falls to $360, which is less than wage rate.
Marginal revenue product: Marginal revenue product is defined as the additional revenue earned by a firm using one additional unit of an input.
(e)
The marginal product and marginal revenue product.
(e)

Explanation of Solution
When the firm uses new production technology, the marginal product of labor and the marginal revenue product of labor by 50 percent at each worker. When the wage rate is $400, the firm should hire seven workers. The marginal revenue product of the 7th worker is $504, which is higher than the wage rate.
Marginal product: Marginal product is defined as the additional output produced by increasing the input factor by one unit.
Marginal revenue product: Marginal revenue product is defined as the additional revenue earned by a firm using one additional unit of an input.
Want to see more full solutions like this?
Chapter 10 Solutions
Principles Of Microeconomics
- Choose all correct answers regarding the estimated multiple linear regression model: ŷ = ߸ + ß‚× + ². Assume that ẞ, and ẞ are both non-zero. 0 1 (a) The estimated regression function is represented by a plane in three-dimensional space. (b) It gives the value of y, for each value of x, such that half the values of y are above the function and half are below. (c) The predicted value of y with x₁ = 1 and x2 = 1 is ẞ + Â₁ + Â₂ 0 (d) If you use robust option in Stata, then ẞ, becomes either smaller or larger in magnitude.arrow_forwardDetermine whether the following statement is true or false. In a simple linear regression, y = ẞo + ẞ₁x+u, if E[ulx] = 0, the estimate of ẞ₁ is statistically significant. Explain your answer in two sentences or fewer.arrow_forward-.5 y .5 0 Choose all the correct answers based on the figure below T T -2 0 2 4 X (a) The coefficient of x is not statistically significant (b) The explained sum of squares is less than the total sum of squares (c) The independent variable is a dummy variable (d) The assumption of homoskedasticity is not likely to holdarrow_forward
- Determine whether the following is true or false: In a multiple linear regression, y = ẞ₁ + ẞ₁x, + ẞ₂×₂ + u, 0 if corr(x,, x) = 1, then ẞ, cannot be estimated, because the numerator in the formula for ß, is zero. Explain your answer in two sentences or fewer.arrow_forwardChoose all correct answers regarding assumptions for B₁ in a simple linear regression. (a) If there is no variation in X, we cannot identify the estimate of ẞ₁, so E[ẞ₁] = ẞ, does not hold. (b) It measures the y-intercept of the estimated regression line. (c) As the sample size increases, ẞ₁ is more likely to be closer to ẞ, assuming E[ß₁] = ß₁. (d) If the sample covariance between x and y is positive, then B₁ > 0.arrow_forwardChoose all correct answers regarding the multiple linear regression model: y = Bo+ B₁x₁ + B2X2 + + BkXk + U. (a) If you add a relevant variable XK+1, but corr(XK, Xk+1) is high, then you must not include xk+1 in the regression equation. (b) Adding a variable XK+₁ may lower the R² value. (c) Adding all the variables in the dataset does not imply that E[u | X1, X2, ... Xk] = 0. (d) We can estimate the value of ẞ₁ by minimizing Σ(û¡)².arrow_forward
- Refer to the Stata output from an analysis of data on Store sales. The data include nominal store-level sales (measured in for the month of June 1996 from 844 stores of a national retail chain. The other variables are: A categorical string variable loctype which indicates the type of store location and takes one of three values: "mall" = 1 if the store is located in a shopping mall (indoor or outdoor) "street" = 1 if the store is located on a street "strip" = 1 if the store is located on a strip or highway ⚫ medhhinc = the median household income of the city where the store is located, measured in $1,000 • empl = the total number of employees working in the store in June 1996 . sqft = the store's size, measured in 1,000 square feet A manager wants to know how average monthly sales varies with the characteristics of a store and its location and uses Stata to perform the regression analysis shown. gen sqftXmedhhinc =sqft*medhhinc . reg sales mall street medhhinc empl sqft sqftXmedhhinc,…arrow_forwardWe would like to examine whether there is a differential effect of study hours on test scores between students whose first language is English and those whose first language is not English by adding an interaction term. gen hoursEng = study_hours *English . reg test_score study_hours English hoursEng Source SS df MS Number of obs 876 Model Residual 136565.839 18952.9115 3 45521.9464 872 21.7349902 F(3, 872) Prob F 2094.41 0.0000 R-squared 0.8781 Total 155518.751 875 177.735715 Adj R-squared = Root MSE 0.8777 = 4.6621 test_score Coef. Std. Err. t P>|t| [95% Conf. Interval] study_hours English hoursEng 1.82049 .0369748 49.24 0.000 8.318905 .8108202 10.26 0.000 .101876 cons 43.52037 .0516819 .5767457 1.97 75.46 0.049 0.000 1.74792 6.727517 .0004404 42.3884 1.89306 9.910292 .2033115 44.65234 (a): What is the predicted test score for an individual who studied two hours and whose first language is not English? (Round to two decimal places) (b): Choose all correct answers (a) The differential…arrow_forwardDetermine whether the following statement is true or false. Suppose you reject the null hypothesis: Ho: ẞ₁ = ẞ₂ = 0. Then, both ẞ₁ = 0 and ẞ2 ± 0. Explain your answer in two sentences or fewer.arrow_forward
- Choose one correct answer: The ---A----- dataset includes 100,000 students from 512 schools observed over 12 months. To control differences between schools and months, we should add a total of What are A and B? (a) A: Time series, B: 524 (b) A: Time series, B: 522 (c) A: Panel, B: 524 (d) A: Panel, B: 522 dummies.arrow_forwardRefer to the Stata output from an analysis of data on Store sales. The data include nominal store-level sales (measured in for the month of June 1996 from 844 stores of a national retail chain. The other variables are: A categorical string variable loctype which indicates the type of store location and takes one of three values: "mall" = 1 if the store is located in a shopping mall (indoor or outdoor) "street" = 1 if the store is located on a street "strip" = 1 if the store is located on a strip or highway ⚫ medhhinc = the median household income of the city where the store is located, measured in $1,000 • empl = the total number of employees working in the store in June 1996 . sqft = the store's size, measured in 1,000 square feet A manager wants to know how average monthly sales varies with the characteristics of a store and its location and uses Stata to perform the regression analysis shown. gen sqftXmedhhinc =sqft*medhhinc . reg sales mall street medhhinc empl sqft sqftXmedhhinc,…arrow_forwardEssay question. In this regression analysis, you are interested in the effect of age on the amount of gasoline used by a car, measured in gallons. Suppose you analyze your dataset and find the following results. Based on the Stata output, how can you improve the analysis? State 3 issues in the figure and table, and possible solution for each problem you can apply based on what you have learned in class. gasoline_use 40 20 100 .reg gasoline_use age Source SS df MS Model Residual 28.1117271 9969.5248 1 28.1117271 23 433.4576 Number of obs F(1, 23) Prob > F R-squared 25 0.06 0.8012 0.0028 a Total 9997.63653 24 416.568189 Adj R-squared Root MSE -0.0405 20.82 gasoline_use Coef. Std. Err. t P>|t| [95% Conf. Interval] age cons -.0688645 .2704114 62.37748 13.86839 -0.25 0.801 4.50 0.000 -.6282532 .4905242 33.68853 91.06643 20 40 60 80 agearrow_forward
- Principles of Economics (12th Edition)EconomicsISBN:9780134078779Author:Karl E. Case, Ray C. Fair, Sharon E. OsterPublisher:PEARSONEngineering Economy (17th Edition)EconomicsISBN:9780134870069Author:William G. Sullivan, Elin M. Wicks, C. Patrick KoellingPublisher:PEARSON
- Principles of Economics (MindTap Course List)EconomicsISBN:9781305585126Author:N. Gregory MankiwPublisher:Cengage LearningManagerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage LearningManagerial Economics & Business Strategy (Mcgraw-...EconomicsISBN:9781259290619Author:Michael Baye, Jeff PrincePublisher:McGraw-Hill Education





