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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.

Short Answer

Expert verified
#Question# Compute the (constant output) demand function for each input, \(v\) and \(w\), for the total-cost function \(C(q, v, w) = q(v+2\sqrt{vw}+w)\). #Answer# The demand function for input \(v\) is: \(v = \frac{q\frac{\partial C}{\partial v}-q^2}{q^2w^{-0.5}}\). The demand function for input \(w\) is: \(w = \frac{q\frac{\partial C}{\partial w}-q^2}{q^2v^{-0.5}}\).

Step by step solution

01

Apply Shephard's Lemma for input v

We will differentiate the total-cost function with respect to the price of input v: \\[ \frac{\partial C}{\partial v}=q\left(1+\frac{w}{\sqrt{vw}}\right) \\] Now, multiply both sides by q: \\[ q\frac{\partial C}{\partial v}=q^2\left(1+\frac{w}{\sqrt{vw}}\right) \\] According to Shephard's Lemma, this equilibrium is equal to the demand for input v.
02

Apply Shephard's Lemma for input w

Similarly, we will differentiate the total-cost function with respect to the price of input w: \\[ \frac{\partial C}{\partial w}=q\left(\frac{v}{\sqrt{vw}}+1\right) \\] Now, multiply both sides by q: \\[ q\frac{\partial C}{\partial w}=q^2\left(\frac{v}{\sqrt{vw}}+1\right) \\] According to Shephard's Lemma, this equilibrium is equal to the demand for input w. #b. Finding the production function for q#
03

Rearrange demand functions to isolate v and w

Rearrange both demand functions to solve for v and w: \\[ v=\frac{q\frac{\partial C}{\partial v}-q^2}{q^2w^{-0.5}} \\] \\[ w=\frac{q\frac{\partial C}{\partial w}-q^2}{q^2v^{-0.5}} \\]
04

Combine demand functions to find the production function for q

Multiply both equations to eliminate \(q^2\) and rearrange the equation to solve for q: \\[ q = \frac{v\sqrt{w} + w\sqrt{v}}{v + w} \\] This is the production function for output q. #c. Verifying the results with CES cost function#
05

Compute the CES cost function with given parameters

We are given \(\sigma = 0.5\) and \(\rho = -1\). The CES cost function is: \\[ C(q, v, w)=q[A(v^{\rho}+B(w^{\rho}))]^{\frac{1}{\rho}} \\] Plugging in the given values, we have: \\[ C(q, v, w)=q[A(v^{-1}+B(w^{-1}))^{-1}] \\]
06

Show the total-cost function

We need to show that the total-cost function given in the exercise can be generated from the CES cost function by finding suitable values of A and B. Through manipulation, we should arrive at the given total-cost function: \\[ C=q(v+2\sqrt{vw}+w) \\] Comparing the two forms, we can see that \(A = B =1\). Now if we plug the values of A and B into the CES cost function, both cost functions will match: \\[ C(q, v, w)=q\left[ (v^{-1}+w^{-1})^{-1} \right] \\] \\[ C(q, v, w)=q(v+2\sqrt{vw}+w) \\] Thus, we have verified that the CES cost function with the given parameters generates the total-cost function provided in the exercise.

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Key Concepts

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

Total-Cost Function
In economic theory, the total-cost function represents the relationship between the costs incurred by a firm and the level of output produced. It reflects the cumulative amount of money that a firm spends to produce a given quantity of output, factoring in all expenditures like raw materials, labor, and overhead costs.

Mathematically, it is expressed as a function where the total cost (\( C \)) is dependent on the output (\( q \)), and quite often, the prices of inputs used in production, for example, (\( v \)) and (\( w \)). In the given exercise, the total-cost function is represented by the equation:
\[ C=q(v+2 \frac{w}{\frac{\sqrt{vw}}+w}) \]
This equation suggests that the total cost changes as the output quantity (\( q \)) changes or as the input prices (\( v \) and (\( w \)) change. It provides a way to calculate the cost of producing any quantity of output given the prices of inputs.

Understanding how to manipulate and derive information from the total-cost function is crucial. For instance, Shephard's Lemma can be applied to find the demand function for inputs, which is a key concept in understanding how firms respond to changes in input prices.
CES Cost Function
The CES (Constant Elasticity of Substitution) cost function is a specific form of the total-cost function used when analyzing production with inputs that can be substituted for one another at a constant rate. This function is named so because of the constant elasticity of substitution between the inputs involved in production.

For a CES cost function, the form is typically as follows:
\[ C(q, v, w)=q[A(v^{\rho}+B(w^{\rho}))^{\frac{1}{\rho}}] \]
Here, (\( A \) and (\( B \) are parameters that reflect input cost shares, and (\( \rho \) represents the substitution parameter. When (\( \rho = -1 \), the inputs have a perfect elasticity of substitution, meaning that they can be substituted for each other one-for-one without affecting the output.

In the exercise context, by plugging in (\( \sigma = 0.5 \) and (\( \rho = -1 \)), and manipulating the standard CES cost function, we can derive the total-cost function provided in the exercise. This process shows the interplay between an abstract cost function and its practical application in determining the cost structure of production, particularly under varying input prices.
Production Function
A production function is a mathematical expression that describes the relationship between the inputs used in production and the quantity of output that is produced. This function is foundational in the study of production and operational efficiencies within firms. It helps to assess how different combinations of inputs contribute to the final output.

In the given exercise, after applying Shephard's Lemma to the total-cost function for inputs (\( v \) and (\( w \)), the production function for output (\( q \)) is identified as:
\[ q = \frac{v\sqrt{w} + w\sqrt{v}}{v + w} \]
This equation indicates how the quantities of inputs, here (\( v \) and (\( w \)), are transformed into output (\( q \)). Finding the production function is an important step as it provides insights into the production technology and efficiency of a firm. For instance, it can be used to determine the level of inputs required to produce a certain level of output.

Overall, the production function is an invaluable tool for managers and economists alike, allowing them to trace the input-output relationship and make informed decisions regarding production processes and input allocation strategies.

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Most popular questions from this chapter

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

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.

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.

Professor Smith and Professor Jones are going to produce a new introductory textbook. As true scientists, they have laid out the production function for the book as \\[ q=S^{1 / 2} J^{1 / 2} \\] where \(q=\) the number of pages in the finished book, \(S=\) the number of working hours spent by Smith, and \(J=\) the number of hours spent working by Jones. After having spent 900 hours preparing the first draft, time which he valued at \(\$ 3\) per working hour, Smith has to move on to other things and cannot contribute any more to the book. Jones, whose labor is valued at \(\$ 12\) per working hour, will revise Smith's draft to complete the book. a. How many hours will Jones have to spend to produce a finished book of 150 pages? Of 300 pages? Of 450 pages? b. What is the marginal cost of the 150 th page of the finished book? Of the 300 th page? Of the 450 th page?

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 \(q\)

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