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An enterprising entrepreneur purchases two factories to produce widgets. Each factory produces identical products, and each has a production function given by $$q_{i}=\sqrt{k_{i} l_{i}} \quad i=1,2$$ The factories differ, however, in the amount of capital equipment each has. In particular, factory 1 has \(k_{1}=25\) whereas factory 2 has \(k_{2}=100 .\) Rental rates for \(k\) and \(l\) are given by \(w=v=\$ 1\) a. If the entrepreneur wishes to minimize short-run total costs of widget production, how should output be allocated between the two factories? b. Given that output is optimally allocated between the two factories, calculate the short-run total, average, and marginal cost curves. What is the marginal cost of the 100 th widget? The 125 th widget? The 200 th widget? c. How should the entrepreneur allocate widget production between the two factories in the long run? Calculate the long-run total, average, and marginal cost curves for widget production. d. How would your answer to part (c) change if both factories exhibited diminishing returns to scale?

Short Answer

Expert verified
In the short run, the optimal allocation of output between the two factories is producing half the output in factory 1 and the other half in factory 2. The short-run total cost curve is \(TC(q) = 125 + \frac{4q^2}{225}\), the average cost curve is \(AC(q) = \frac{125}{q} + \frac{4q}{225}\), and the marginal cost curve is \(MC(q) = \frac{8q}{225}\).

Step by step solution

01

a. Optimal Allocation of Output in the Short Run

The production function for each factory is given by \(q_{i}=\sqrt{k_{i} l_{i}}\) (i=1,2) and the cost of capital (k) and labor (l) are both equal to 1. To minimize the short-run total cost, we need to minimize the cost of producing widgets for a given level of output. Let \(q = q_1 + q_2\) be the total output. We will derive the cost function for each factory and then find the optimal allocation of output between the factories. First, we solve for labor (l) in the production function: \(l_{i}=\frac{q_{i}^{2}}{k_{i}}\) Since the rental rates for both capital and labor are equal to 1, the cost function for each factory is given by: \(C_{i} = k_{i} + l_{i} = k_{i} + \frac{q_{i}^{2}}{k_{i}}\) For factory 1, \(k_1 = 25\). Thus, the cost function is: \(C_1 = 25 + \frac{q_1^2}{25}\) For factory 2, \(k_2 = 100\). Thus, the cost function is: \(C_2 = 100 + \frac{q_2^2}{100}\) Now, we set the marginal costs equal to each other and solve the equation: \(\frac{dC_1}{dq_1} = \frac{dC_2}{dq_2}\) Calculating the derivatives, we get: \(\frac{2q_1}{25} = \frac{2q_2}{100}\) Solving the equation, we find that \(q_1 = \frac{1}{2}q_2\). Hence, the optimal allocation in the short run is to produce half the output in factory 1 and the other half in factory 2.
02

b. Short-Run Total, Average, and Marginal Cost Curves

Using the optimal allocation found in part a, we can now compute the short-run total, average, and marginal cost curves for the system. We know that \(q_1 = \frac{1}{2}q_2\), and the total output q is given by \(q = q_1 + q_2\). Thus, we have \(q = \frac{3}{2}q_1\). The short-run total cost is: \(TC = C_1 + C_2 = 25 + \frac{q_1^2}{25} + 100 + \frac{q_2^2}{100} = 25 + \frac{q_1^2}{25} + 100 + \frac{4q_1^2}{100}\) Using the substitution \(q = \frac{3}{2}q_1\), we can express the total cost as a function of total output q: \(TC(q) = 25 + \frac{(\frac{2}{3}q)^2}{25} + 100 + \frac{4(\frac{2}{3}q)^2}{100} = 125 + \frac{4q^2}{225}\) The short-run average cost is: \(AC(q) = \frac{TC(q)}{q} = \frac{125}{q} + \frac{4q}{225}\) The short-run marginal cost is the derivative of the total cost with respect to q: \(MC(q) = \frac{dTC(q)}{dq} = \frac{8q}{225}\) To find the marginal cost of the 100th, 125th, and 200th widgets, we plug these values of q into the marginal cost formula: \(MC(100) = \frac{8(100)}{225}\) \(MC(125) = \frac{8(125)}{225}\) \(MC(200) = \frac{8(200)}{225}\)
03

c. Long-Run Optimal Allocation and Cost Curves

In the long run, the entrepreneur can freely allocate capital to both factories in order to minimize total cost. Since both factories have the same production function, the entrepreneur should allocate capital to both factories equally. This means producing the same amount of output in each factory: \(q_1 = q_2\). The total, average, and marginal cost curves for widget production will also be equal for both factories. The long-run total, average, and marginal cost curves can be calculated by: 1. Allocating capital equally: \(k_1 = k_2 = \frac{k}{2}\), where k is the total capital in the system. 2. Deriving the long-run production function given the equal allocation of capital: \(Q = 2\sqrt{\frac{k}{2} L}\), where \(Q\) is the total output and \(L\) is the total labor. 3. Computing the long-run total cost: \(TC = k + L\). 4. Calculating the long-run average cost: \(AC = \frac{TC}{q}\). 5. Finding the long-run marginal cost: \(MC = \frac{dTC}{dq}\).
04

d. Impact of Diminishing Returns to Scale

If both factories exhibit diminishing returns to scale, then doubling the inputs (capital and labor) will result in less than double the output. Consequently, the long-run average and marginal cost curves will be upward sloping as the level of output increases. The entrepreneur would allocate production towards the factory that has a lower marginal cost until the marginal costs of both factories are equal. In this case, the optimal allocation of output across both factories would no longer involve producing the same output in both factories. Instead, a more intricate optimal production allocation will emerge depending on the scale parameter of each factory's production function. In the presence of diminishing returns to scale, the long-run average and marginal cost curves are expected to rise as output increases, and the optimal allocation between the two factories would be more complex and sensitive to the specific scale parameter values.

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Most popular questions from this chapter

Many empirical studies of costs report an alternative definition of the elasticity of substitution between inputs. This alternative definition was first proposed by \(\mathrm{R}\). G. \(\mathrm{D}\). Allen in the \(1930 \mathrm{s}\) and further clarified by H. Uzawa in the 1960 s. This definition builds directly on the production function-based elasticity of substitution defined in footnote 6 of Chapter 9 : \(A_{i j}=C_{i j} C / C_{i} C_{j},\) where the subscripts indicate partial differentiation with respect to various input prices. Clearly, the Allen definition is symmetric. a. Show that \(A_{i j}=e_{x_{i}, w_{j}} / s_{j},\) where \(s_{j}\) is the share of input \(j\) in total cost. b. Show that the elasticity of \(s_{i}\) with respect to the price of input \(j\) is related to the Allen elasticity by \(e_{s_{r}, p_{j}}=s_{j}\left(A_{i j}-1\right)\) c. Show that, with only two inputs, \(A_{k l}=1\) for the CobbDouglas case and \(A_{k l}=\sigma\) for the CES case. d. Read Blackorby and Russell (1989: "Will the Real Elas- ticity of Substitution Please Stand Up?") to see why the Morishima definition is preferred for most purposes.

The CES production function can be generalized to permit weighting of the inputs. In the two-input case, this function is $$q=f(k, l)=\left[(\alpha k)^{\rho}+(\beta l)^{\rho}\right]^{\gamma / \rho}$$ a. What is the total-cost function for a firm with this production function? Hint: You can, of course, work this out from scratch; easier perhaps is to use the results from Example 10.2 and reason that the price for a unit of capital input in this production function is \(v / \alpha\) and for a unit of labor input is \(w / \beta\) b. If \(\gamma=1\) and \(\alpha+\beta=1,\) it can be shown that this production function converges to the Cobb-Douglas form \(q=k^{\alpha} l^{\beta}\) as \(\rho \rightarrow 0 .\) What is the total cost function for this particular version of the CES function? c. The relative labor cost share for a two-input production function is given by wl/ \(v k .\) Show that this share is constant for the Cobb-Douglas function in part (b). How is the relative labor share affected by the parameters \(\alpha\) and \(b ?\) d. Calculate the relative labor cost share for the general CES function introduced above. How is that share affected by changes in \(w / v ?\) How is the direction of this effect determined by the elasticity of substitution, \(\sigma\) ? How is it affected by the sizes of the parameters \(\alpha\) and \(\beta ?\)

Suppose that a firm produces two different outputs, the quantities of which are represented by \(q_{1}\) and \(q_{2}\). In general, the firm's total costs can be represented by \(C\left(q_{1}, q_{2}\right)\). This function exhibits economies of scope if \(C\left(q_{1}, 0\right)+C\left(0, q_{2}\right)>C\left(q_{1}, q_{2}\right)\) for all output levels of either good. a. Explain in words why this mathematical formulation implies that costs will be lower in this multiproduct firm than in two single-product firms producing each good separately. b. If the two outputs are actually the same good, we can define total output as \(q=q_{1}+q_{2} .\) Suppose that in this case average cost \((=C / q)\) decreases as \(q\) increases. Show that this firm also enjoys economies of scope under the definition provided here.

Suppose the total-cost function for a firm is given by $$C=q(v+2 \sqrt{v w}+w)$$ a. Use Shephard's lemma to compute the (constant output) demand function for each input, \(k\) and \(l\) b. Use the results from part (a) to compute the underlying production function for \(q\) c. You can check the result by using results from Example 10.2 to show that the CES cost function with \(\sigma=0.5, \rho=-1\) generates this total-cost function.

A firm producing hockey sticks has a production function given by $$q=2 \sqrt{k l}$$ .In the short run, the firm's amount of capital equipment is fixed at \(k=100 .\) The rental rate for \(k\) is \(v=\$ 1\), and the wage rate for \(l\) is \(w=\$ 4\) a. Calculate the firm's short-run total cost curve. Calculate the short-run average cost curve. b. What is the firm's short-run marginal cost function? What are the \(S C, S A C,\) and \(S M C\) for the firm if it produces 25 hockey sticks? Fifty hockey sticks? One hundred hockey sticks? Two hundred hockey sticks? c. Graph the \(S A C\) and the \(S M C\) curves for the firm. Indicate the points found in part (b). d. Where does the \(S M C\) curve intersect the \(S A C\) curve? Explain why the \(S M C\) curve will always intersect the \(S A C\) curve at its lowest point. Suppose now that capital used for producing hockey sticks is fixed at \(k_{1}\) in the short run. e. Calculate the firm's total costs as a function of \(q, w, v\) and \(k_{1}\) f. Given \(q, w,\) and \(v,\) how should the capital stock be chosen to minimize total cost? g. Use your results from part (f) to calculate the long-run total cost of hockey stick production. h. For \(w=\$ 4, v=\$ 1,\) graph the long-run total cost curve for hockey stick production. Show that this is an envelope for the short-run curves computed in part (e) by examining values of \(k_{1}\) of \(100,200,\) and 400

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