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Suppose that a firm's fixed proportion production function is given by \\[ q=\min (5 k, 10 l) \\] a. Calculate the firm's long-run total, average, and marginal cost functions. b. Suppose that \(k\) is fixed at 10 in the short run. Calculate the firm's short-run total, average, and marginal cost functions. c. Suppose \(v=1\) and \(w=3 .\) Calculate this firm's long-run and short-run average and marginal cost curves.

Short Answer

Expert verified
Using the given values for \(v = 1\) and \(w = 3\), we have found the following long-run and short-run cost functions for the firm: 1. Long-run average cost (LAC) function: LAC(q) = - \(\frac{1}{5} + \frac{3}{10}\), if k ≤ l/2 - \(\frac{3}{5}\), if k > l/2 2. Long-run marginal cost (LMC) function: LMC(q) = - \(\frac{1}{2}\), if k ≤ l/2 - \(\frac{3}{5}\), if k > l/2 3. Short-run average cost (SAC) function: SAC(q) = \(\frac{10}{q} + \frac{3}{10}\) 4. Short-run marginal cost (SMC) function: SMC(q) = \(\frac{3}{10}\) These cost functions are crucial for determining the firm's optimal production levels and can be used to analyze pricing strategies, resource allocation, and business expansion in both the short and long run.

Step by step solution

01

Since the production function is given as \(q = \min(5k, 10l)\), we can express it in terms of one input. We can write this as: \\[ q = 5k \text{ if } 5k \leq 10l \\ q = 10l \text{ if } 5k > 10l \\] #Step 2: Derive the long-run total cost (LTC) function#

To find the LTC function, we need to express the cost in terms of both capital (\(k\)) and labor (\(l\)). In the long run, the firm can vary both \(k\) and \(l\). We are given that \(v=1\) and \(w=3\), so total cost is \(C = vk + wl\). Thus, the LTC function can then be formed as follows depending on the production function: \\[ C(q) = k + 3l = \begin{cases} \frac{q}{5} + 3(\frac{q}{10}) & \text{if } k \leq \frac{l}{2} \\ \frac{q}{5}(\frac{3}{2}) + \frac{q}{10} & \text{if } k > \frac{l}{2} \end{cases} \\] #Step 3: Calculate the long-run average cost (LAC) function#
02

LAC is defined as the long-run total cost divided by the quantity produced. Thus, using the LTC function above, we can write the LAC function as: \\[ LAC(q) = \frac{C(q)}{q} = \begin{cases} \frac{1}{5} + \frac{3}{10} & \text{if } k \leq \frac{l}{2} \\ \frac{3}{5} & \text{if } k > \frac{l}{2} \end{cases} \\] #Step 4: Calculate the long-run marginal cost (LMC) function#

LMC is the derivative of the LTC function with respect to the output \(q\). Since the LTC function is a piecewise function, we will take the partial derivatives with respect to \(q\) in both cases: \\[ LMC(q) = \frac{dC(q)}{dq} = \begin{cases} \frac{1}{2} & \text{if } k \leq \frac{l}{2} \\ \frac{3}{5} & \text{if } k > \frac{l}{2} \end{cases} \\] #Step 5: Find the short-run total, average, and marginal cost functions with fixed capital at 10#
03

In part (b), capital is fixed at \(k=10\). Therefore, the production function can be expressed as \(q = 5\times10 = 50\) if \(50\leq10l\), or \(q = 10l\) if \(50>10l\). To find the total cost function, we substitute \(k=10\) into the cost function, obtaining \(C(q) = 10 + 3l\). Since the cost in the short run only contains one variable, we solve this cost function for \(l\) in terms of the output: \\[ C(q) = 10 + 3(\frac{q}{10}) => C(q) = 10 + \frac{3q}{10} \\] Thus, the short-run total cost (STC) function is obtained: \\[ STC(q) = 10 + \frac{3q}{10} \\] Next, we find the average cost by dividing the STC function by the output, \(q\), obtaining the short-run average cost (SAC) function: \\[ SAC(q) = \frac{STC(q)}{q} = \frac{10}{q} + \frac{3}{10} \\] Lastly, we calculate the short-run marginal cost (SMC) function, which is the derivative of the STC function with respect to the output: \\[ SMC(q) = \frac{dSTC(q)}{dq} = \frac{3}{10} \\] #Step 6: Solve long-run and short-run cost functions with given values of \(v\) and \(w\)#

With \(v=1\) and \(w=3\), we can now calculate the long-run and short-run average and marginal cost functions given in the previous steps: Long-run average cost: \\[ LAC(q) = \begin{cases} \frac{1}{5} + \frac{3}{10} \\ \frac{3}{5} \end{cases} \\] Long-run marginal cost: \\[ LMC(q) = \begin{cases} \frac{1}{2} \\ \frac{3}{5} \end{cases} \\] Short-run average cost: \\[ SAC(q) = \frac{10}{q} + \frac{3}{10} \\] Short-run marginal cost: \\[ SMC(q) = \frac{3}{10} \\]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Long-Run Total Cost
In microeconomics, the long-run total cost (LTC) is a vital concept which reflects the total cost incurred by a firm when all inputs are variable. Unlike the short run, where some factors like capital might be fixed, the long run allows a business to adjust all its inputs to find the most efficient way to produce goods or services.

The LTC is derived by summing the product of the quantity of each input with its respective cost. In our exercise, we look at a firm that operates under a fixed proportion production function, represented by \( q = \text{min}(5k, 10l) \). To calculate the LTC function, two scenarios are considered based on the relationship between the inputs capital (k) and labor (l). For teaching purposes, it's essential to remember that the LTC curve typically has a characteristic 'U' shape, indicating economies and diseconomies of scale at different output levels.
Average Cost Functions
The average cost functions serve as an indicator of efficiency by showing the cost per unit of output. The long-run average cost (LAC) function is obtained by dividing the LTC by the total output (q). The concept is crucial for understanding at which scale a firm operates most efficiently.

In the fixed proportion production context, the LAC depends on whether capital is less than or equal to half of labor, or greater. Optimization of production costs in microeconomics often revolves around finding the minimum point of the LAC, which corresponds to the 'optimum' size of the firm for cost-efficient production. When explaining this concept to students, using diagrams to illustrate how LAC varies with the output can be particularly helpful.
Marginal Cost Functions
Another cornerstone concept in microeconomics is the marginal cost functions. The long-run marginal cost (LMC) function represents the additional cost of producing one extra unit of output. It is derived by taking the derivative of the LTC function with respect to output, which shows the change in cost from an infinitesimally small change in the quantity produced.

This measure is pivotal in production decision-making, as it indicates the moment when producing one more unit becomes more expensive than the previous. Therefore, LMC helps determine the most profitable output level. For students, understanding the relationship between the marginal cost and average cost functions is essential, as it underpins the supply behavior of a firm.
Short-Run Total Cost
The short-run total cost (STC) function is a reflection of the firm's total cost when at least one factor of production is fixed. In our textbook example, capital (k) is fixed in the short run, bringing in a different perspective on cost calculation compared to the long run. The STC is important for businesses to understand how costs behave when they cannot fully adjust all inputs.

It's crucial for students to grasp how the STC differs from the LTC owing to the presence of fixed costs, which do not change with the level of output. These costs become sunk in the short run but can be adjusted in the long run. Specifically explaining how fixed costs influence the average and marginal costs in the short run can provide a more comprehensive understanding of a firm's immediate cost structure.
Fixed Proportion Production Function
Underlying these discussions is the fixed proportion production function<\/b>. This function signifies that output is limited by a fixed ratio of the inputs, which in our exercise are capital (k) and labor (l). The fixed proportion relationship is given by \( q = \text{min}(5k, 10l) \), indicating that the quantity of output is constrained by whichever input is the limiting factor.

Students should learn that this type of production function indicates a rigid production technology where inputs are strong complements to each other, as opposed to being easily substitutable. Consequently, understanding this function aids in analyzing the relationship between input quantities and costs, and it underscores the importance of balanced growth of input usage for cost management.

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Most popular questions from this chapter

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 cach 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 Fxample 10.2 to show that the CES cost function with \(\sigma=0.5, \rho=-1\) generates this total-cost function.

Suppose the total-cost function for a firm is given by \\[ C=q w^{2 / 3} v^{1 / 3} \\] a. Use Shephard's lemma to compute the (constant output) demand functions for inputs \(l\) and \(k\). b. Use your results from part (a) to calculate the underlying production function for \(q\)

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 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 \(A_{i j}=e_{x_{i}, \ldots, n} / s_{j},\) 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 \(e_{s_{1}, p_{1}}=s_{j}\left(A_{j}-1\right)\) c. Show that, with only two inputs, \(A_{k l}=1\) for the Cobb-Douglas case and \(A_{k l}=\sigma\) for the CFS case. d. Read Blackorby and Russell (1989: "Will the Real Elasticity of Substitution Please Stand Up?") to see why the Morishima definition is preferred for most purposes.

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 \(\bar{k}\) in the short run. c. Calculate the firm's total costs as a function of \(q, w, v,\) and \(\bar{k}\) 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 \(w=\mathrm{s} 4, v=\$ 1,\) 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 (c) by examining values of \(\bar{k}\) of \(100,200,\) and 400

The own-price elasticities of contingent input demand for labor and capital are defined as \\[ e_{Y},_{w}=\frac{\partial l^{c}}{\partial w} \cdot \frac{w}{l^{c}}, \quad e_{k^{\prime}, v}=\frac{\partial k^{c}}{\partial v} \cdot \frac{v}{k^{\ell}} \\] a. Calculate \(e_{\mathbb{R}, \text { w }}\) and \(e_{k_{k}, v}\) for each of the cost functions shown in Example 10.2 b. Show that, in general, \(c_{r}, w+e_{L r, v}=0\) c. Show that the cross-price derivatives of contingent demand functions are equal-that is, show that \(\partial f / \partial v=\partial k^{c} / \partial w\). Use this fact to show that \(s_{1} e_{\gamma, v}=s_{k} e_{k^{\prime}}, w\) where \(s_{b} s_{k}\) are, respectively, the share of labor in total cost \((w l / C)\) and of capital in total cost \((v k / C)\) d. Use the results from parts (b) and (c) to show that \(s_{i} €_{l^{\prime}, s, s}+s_{k} c_{k^{\prime}, w}=0\) e. Interpret these various elasticity relationships in words and discuss their overall relevance to a general theory of input demand.

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