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Sam Malone is considering renovating the bar stools at Cheers. The production function for new bar stools is given by $$q=0.1 k^{0.2} l^{0.8}$$ where \(q\) is the number of bar stools produced during the renovation week, \(k\) represents the number of hours of bar stool lathes used during the week, and \(l\) represents the number of worker hours employed during the period. Sam would like to provide 10 new bar stools, and he has allocated a budget of \(\$ 10,000\) for the project. a. Sam reasons that because bar stool lathes and skilled bar stool workers both cost the same amount ( \(\$ 50\) per hour), he might as well hire these two inputs in equal amounts. If Sam proceeds in this way, how much of each input will he hire and how much will the renovation project cost? b. Norm (who knows something about bar stools) argues that once again Sam has forgotten his microeconomics. He asserts that Sam should choose quantities of inputs so that their marginal (not average) productivities are equal. If Sam opts for this plan instead, how much of each input will he hire and how much will the renovation project cost? c. On hearing that Norm's plan will save money, Cliff argues that Sam should put the savings into more bar stools to provide seating for more of his USPS colleagues. How many more bar stools can Sam get for his budget if he follows Cliff's plan? d. Carla worries that Cliff's suggestion will just mean more work for her in delivering food to bar patrons. How might she convince Sam to stick to his original 10 -bar stool plan?

Short Answer

Expert verified
Answer: Sam can produce an additional 10 bar stools if he follows Cliff's plan.

Step by step solution

01

Equal input amounts and cost for Sam's initial plan

To find out how many hours of each input Sam needs to hire and how much will the renovation project cost, we first need to establish the constraint of producing 10 bar stools, i.e., $$10 = 0.1k^{0.2}l^{0.8}$$. Since Sam intends to hire equal amounts of both inputs, we have $$k = l$$. Now we can plug this into the equation: $$10 = 0.1k^{0.2}k^{0.8}$$. Solving for k, we get $$k = 55.36$$ hours. Therefore, Sam needs to hire 55.36 hours of both inputs, i.e., $$k=l=55.36$$. Since each input costs $$\$ 50$$ per hour, the total cost of the renovation project for Sam's initial plan is $$55.36 \times 50 \times 2 = \$5,536$$.
02

Optimal input levels when marginal productivities are equal

To find the optimal input levels, first, we need to find the marginal productivity of both inputs. The marginal productivity of labor (MP_l) and the marginal productivity of lathes (MP_k) can be obtained by taking the partial derivative with respect to l and k, respectively. $$MP_l = \frac{\partial q}{\partial l} = 0.8 \times 0.1 k^{0.2} l^{-0.2}$$ and $$MP_k = \frac{\partial q}{\partial k} = 0.2 \times 0.1 k^{-0.8} l^{0.8}$$. To set these marginal productivities equal, we need to find $$k$$ and $$l$$ such that $$MP_l = MP_k$$, i.e., $$0.8 \times 0.1 k^{0.2} l^{-0.2} = 0.2 \times 0.1 k^{-0.8} l^{0.8}$$. Upon simplifying and solving, we find that $$k = 4l$$. Now, we need to find the optimal values of $$k$$ and $$l$$ under the budget constraint. Since both inputs cost $$\$50$$ per hour, the total cost is $$50(k+l) = \$10,000$$, and we substitute the earlier found relationship $$k=4l$$ into this equation: $$5l = \$1,000$$. Thus, the optimal values are $$l = 200$$ hours and $$k = 800$$ hours. The total cost for the optimal input combination is $$50(200 + 800) = \$10,000$$, or equal to the allocated budget.
03

More bar stools for the same budget

To find out how many more bar stools Sam can produce if he follows Cliff's plan, we plug the optimal input amounts back into the production function: $$q = 0.1(800)^{0.2}(200)^{0.8} = 20$$ bar stools. Therefore, Sam can produce additional 10 bar stools (20 - initial 10) if he follows Cliff's plan.
04

Potential reasons for sticking to the original 10-bar stool plan

Carla may use the following arguments to convince Sam to stick to his original plan of producing only 10 bar stools: 1. Additional bar stools might lead to overcrowding and a noisy environment, making the bar less attractive to some patrons. 2. Extra seating capacity may not lead to a proportionate increase in revenues, especially if the bar already has enough seating to accommodate most patrons during peak times. 3. As Carla's concern suggests, more bar stools could mean more work for the employees without a proportional increase in their compensation, leading to potential dissatisfaction among the staff.

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Most popular questions from this chapter

Suppose the production function for widgets is given by $$q=k l-0.8 k^{2}-0.2 l^{2}$$ where \(q\) represents the annual quantity of widgets produced, \(k\) represents annual capital input, and \(l\) represents annual labor input. a. Suppose \(k=10 ;\) graph the total and average productivity of labor curves. At what level of labor input does this average productivity reach a maximum? How many widgets are produced at that point? b. Again assuming that \(k=10\), graph the \(M P_{l}\) curve. At what level of labor input does \(M P_{l}=0\) ? c. Suppose capital inputs were increased to \(k=20 .\) How would your answers to parts (a) and (b) change? d. Does the widget production function exhibit constant, increasing, or decreasing returns to scale?

As we have seen in many places, the general Cobb-Douglas production function for two inputs is given by $$q=f(k, l)=A k^{\alpha} l^{\beta}$$ where \(0<\alpha<1\) and \(0<\beta<1 .\) For this production function: a. Show that \(f_{k}>0, f_{1}>0, f_{k k}<0, f_{l l}<0,\) and \(f_{k l}=f_{l k}>0\) b. Show that \(e_{q, k}=\alpha\) and \(e_{q, l}=\beta\) c. In footnote \(5,\) we defined the scale elasticity as$$e_{q, t}=\frac{\partial f(t k, t l)}{\partial t} \cdot \frac{t}{f(t k, t l)}$$ where the expression is to be evaluated at \(t=1 .\) Show that, for this Cobb-Douglas function, \(e_{q, t}=\alpha+\beta .\) Hence in this case the scale elasticity and the returns to scale of the production function agree (for more on this concept see Problem 9.9 ). d. Show that this function is quasi-concave. e. Show that the function is concave for \(\alpha+\beta \leq 1\) but not concave for \(\alpha+\beta>1\)

Consider a generalization of the production function in Example 9.3: $$q=\beta_{0}+\beta_{1} \sqrt{k l}+\beta_{2} k+\beta_{3} l$$ $$0 \leq \beta_{i} \leq 1, \quad i=0, \dots, 3$$ a. If this function is to exhibit constant returns to scale, what restrictions should be placed on the parameters \(\beta_{0}, \ldots, \beta_{3} ?\) b. Show that, in the constant returns-to-scale case, this function exhibits diminishing marginal productivities and that the marginal productivity functions are homogeneous of degree 0 c. Calculate \(\sigma\) in this case. Although \(\sigma\) is not in general constant, for what values of the \(\beta\) 's does \(\sigma=0,1\), or \(\infty ?\)

A local measure of the returns to scale incorporated in a production function is given by the scale elasticity \(e_{q, t}=\partial f(t k, t l) / \partial t \cdot t / q\) evaluated at \(t=1\) a. Show that if the production function exhibits constant returns to scale, then \(e_{q, t}=1\) b. We can define the output elasticities of the inputs \(k\) and \(l\) as $$\begin{array}{l} e_{q, k}=\frac{\partial f(k, l)}{\partial k} \cdot \frac{k}{q} \\ e_{q, l}=\frac{\partial f(k, l)}{\partial l} \cdot \frac{l}{q} \end{array}$$ Show that \(e_{q, t}=e_{q, k}+e_{q, l}\) c. A function that exhibits variable scale elasticity is $$q=\left(1+k^{-1} l^{-1}\right)^{-1}$$ Show that, for this function, \(e_{q, t}>1\) for \(q<0.5\) and that \(e_{q, t}<1\) for \(q>0.5\) d. Explain your results from part (c) intuitively. Hint: Does \(q\) have an upper bound for this production function?

Suppose we are given the constant returns-to-scale CES production function \\[ q=\left(k^{\rho}+l^{\rho}\right)^{1 / \rho} \\] a. Show that \(M P_{k}=(q / k)^{1-\rho}\) and \(M P_{l}=(q / l)^{1-\rho}\) b. Show that \(R T S=(k / l)^{1-\rho} ;\) use this to show that \\[ \sigma=1 /(1-\rho) \\] c. Determine the output elasticities for \(k\) and \(l ;\) and show that their sum equals 1 d. Prove that \\[ \frac{q}{l}=\left(\frac{\partial q}{\partial l}\right)^{\sigma} \\] and hence that \\[ \ln \left(\frac{q}{l}\right)=\sigma \ln \left(\frac{\partial q}{\partial l}\right) \\] Note: The latter equality is useful in empirical work because we may approximate \(\partial q / \partial l\) by the competitively determined wage rate. Hence \(\sigma\) can be estimated from a regression of \(\ln (q / I)\) on \(\ln w\).

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