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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 \(q\)

Short Answer

Expert verified
a) Demand functions: \( l = \frac{2}{3} q w^{-1/3} v^{1/3} \), \( k = \frac{1}{3} q w^{2/3} v^{-2/3} \). b) Production function: \( q = l^{3/2} k^{3} \).

Step by step solution

01

Understanding Shephard's Lemma

Shephard's Lemma states that the derivative of the cost function with respect to input prices yields the input demand functions. In this context, the cost function is given, and our task is to find the demand functions for inputs \( l \) and \( k \) by differentiating the cost function with respect to their respective prices \( w \) and \( v \).
02

Differentiate Cost Function with respect to Price \(w\)

To find the demand function for input \( l \) (associated with price \( w \)), differentiate the cost function \( C = q w^{2/3} v^{1/3} \) with respect to \( w \). This gives: \[ \frac{\partial C}{\partial w} = \frac{2}{3} q w^{-1/3} v^{1/3}. \]
03

Differentiate Cost Function with respect to Price \(v\)

For input \( k \) (associated with price \( v \)), differentiate the cost function with respect to \( v \). The partial derivative is: \[ \frac{\partial C}{\partial v} = \frac{1}{3} q w^{2/3} v^{-2/3}. \]
04

Calculate the Production Function

Having found the input demand functions, use them to derive the production function. Since the cost function is derived from a production function of the form \( q = f(l, k) \), rearrange the demand functions from steps 2 and 3 to express \( q \) as a function of \( l \) and \( k \): - Substitute \( l = \frac{2}{3} q w^{-1/3} v^{1/3} \) in the Cobb-Douglas form \( q = l^{3/2} k^{3} \) and - \( k = \frac{1}{3} q w^{2/3} v^{-2/3} \).
05

Form Final Expression of Production Function

The production function is derived by relating the input demand functions and the structure of the cost function. By solving the equations:- Express \( q = \left(\frac{2}{3} q w^{-1/3} v^{1/3}\right)^{3/2} \left(\frac{1}{3} q w^{2/3} v^{-2/3}\right)^{1/3} \),- Simplifying gives the production function \( q = l^{3/2} k^{3} \).

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Key Concepts

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

Cost Function
A cost function represents the total cost incurred by a firm to produce a certain level of output. It captures the relationship between the firm’s total cost and the level of production, as well as the prices of inputs used. In our given problem, the cost function is given as:
\[ C = q w^{2/3} v^{1/3} \]
Here, \( C \) is the total cost, \( q \) represents output level, \( w \) is the price of input \( l \), and \( v \) is the price of input \( k \). This function indicates how costs change as the prices of inputs or the level of output alters.
  • Costs vary directly with changes in input prices.
  • The exponents \( \frac{2}{3} \) and \( \frac{1}{3} \) show how costs are sensitive to \( w \) and \( v \).
Shephard's Lemma
Shephard's Lemma is a useful tool in microeconomic theory that helps to derive input demand functions from a given cost function. This lemma states that the partial derivative of the cost function with respect to an input price gives the input demand function for that particular input.
  • It connects cost functions to input demand, bridging how costs respond to price changes.
  • To apply this lemma, differentiate the cost function \( C = q w^{2/3} v^{1/3} \) with respect to each input price.
For example, differentiating with respect to \( w \), the price of input \( l \), we get:
\[ \frac{\partial C}{\partial w} = \frac{2}{3} q w^{-1/3} v^{1/3} \]
This represents how demand for \( l \) changes with its price.
Input Demand Functions
Input demand functions are derived from the cost function using Shephard's Lemma. They indicate the quantity of each input that a firm demands based on the prices of inputs and the level of output required.
  • They allow firms to optimize input use according to price changes.
  • The demand functions inform on minimum cost combinations to achieve a specified output.
From the differentiation performed using Shephard's Lemma, we obtain:
  • Demand for input \( l \):
    \[ l = \frac{2}{3} q w^{-1/3} v^{1/3} \]
  • Demand for input \( k \):
    \[ k = \frac{1}{3} q w^{2/3} v^{-2/3} \]
Production Function
A production function expresses the relationship between inputs and the output they produce. In this exercise, having determined the input demand functions, we can express the production function by rearranging these functions.
  • The form of the production function here is derived from the Cobb-Douglas structure.
  • It shows how combining different amounts of inputs \( l \) and \( k \) results in varying levels of output \( q \).
Using the expressions derived from the input demand functions, substitute back to derive:
\[ q = l^{3/2} k^{3} \]
This suggests that the firm’s output is a function of a specific combination of these inputs.
Partial Derivatives
Partial derivatives play a crucial role in the analysis of functions of multiple variables, like cost or production functions. They measure the rate at which one variable changes as another variable changes, while keeping others constant.
  • Here, they help find how costs respond to changes in input prices.
  • They provide insights into marginal costs related to each input.
For instance, taking the partial derivative of our cost function
\[ C = q w^{2/3} v^{1/3} \]
with respect to \( w \) results in:
\[ \frac{\partial C}{\partial w} = \frac{2}{3} q w^{-1/3} v^{1/3} \]
This illustrates the sensitivity of the cost concerning changes in \( w \), aiding in decisions regarding input usage optimization.

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Most popular questions from this chapter

An enterprising entrepreneur purchases two firms to produce widgets. Each firm produces identical products, and each has a production function given by \\[ q=\sqrt{k_{i} l_{i}}, \quad i=1,2 \\] The firms differ, however, in the amount of capital equipment each has. In particular, firm I has \(k_{1}=25\) whereas firm 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 firms? b. Given that output is optimally allocated between the two firms, 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 firms 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 firms exhibited diminishing returns to scale?

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 \(i\) 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.

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.

A firm producing hockey sticks has a production function given by \\[ q=2 \sqrt{k \cdot 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. e. 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 \(w=\$ 4, v=\$ 1,\) 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 (a) by examining values of \(\bar{k}\) of \(100,200,\) and 400

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[(a k)^{\rho}+(b 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 \(v / a\) and for a unit of labor input is \(w / b\) b. If \(\gamma=1\) and \(a+b=1,\) it can be shown that this production function converges to the CobbDouglas form \(q=k^{a} l^{b}\) 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 \(w l / v k\). Show that this share is constant for the Cobb-Douglas function in part (b). How is the relative labor share affected by the parameters \(a\) 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 \(a\) and \(b\) ?

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