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With a CES production function of the form \(q=\left(k^{\rho}+l^{\rho}\right)^{\gamma / \rho}\) a whole lot of algebra is needed to compute the profit function as \(\Pi(P, v, w)=K P^{1 /(1-\gamma)}\left(v^{1-\sigma}+w^{1-\sigma}\right)^{\gamma /(1-\sigma)(\gamma-1)}\) where \(\sigma=1 /(1-\rho)\) and \(K\) is a constant. a. If you are a glutton for punishment (or if your instructor is ), prove that the profit function takes this form. Perhaps the easiest way to do so is to start from the CES cost function in Example 10.2 b. Explain why this profit function provides a reasonable representation of a firm's behavior only for \(0<\gamma<1\) c. Explain the role of the elasticity of substitution \((\sigma)\) in this profit function. d. What is the supply function in this case? How does \(\sigma\) determine the extent to which that function shifts when input prices change? e. Derive the input demand functions in this case. How are these functions affected by the size of \(\sigma ?\)

Short Answer

Expert verified
In conclusion, this exercise involves understanding the properties and implications of the Constant Elasticity of Substitution (CES) production function in analyzing the firm's behavior. By deriving the profit function and examining the roles of the elasticity of substitution, we can analyze how the firm can optimally adjust its production process as prices and input costs change. Furthermore, the size of the elasticity of substitution plays an important role in how responsive the supply and input demand functions are to changes in input prices. Thus, understanding the properties of the CES production function provides valuable insights into a firm's behavior and decision-making process.

Step by step solution

01

Write down the given CES production function and CES cost function

We are given a CES production function of the form: \(q=\left(k^{\rho}+l^{\rho}\right)^{\gamma / \rho}\) And the CES cost function from Example 10.2: \(c(w,v,q)=\left[(w^{\sigma-1}+v^{\sigma-1})^{\frac{1}{\sigma-1}}\right]q\)
02

Solve the profit function in terms of price, wages and capital rental rates

The profit function is given by \(\Pi(P, v, w)=Pq-c(v,w,q)\). Let's substitute the given CES production function and CES cost function into the profit function: \(\Pi(P, v, w) = P\left(k^{\rho}+l^{\rho}\right)^{\gamma / \rho} - \left[(w^{\sigma-1}+v^{\sigma-1})^{\frac{1}{\sigma-1}}\right]\left(k^{\rho}+l^{\rho}\right)^{\gamma / \rho}\) Now, we are given \(\sigma=1 /(1-\rho)\). Let’s rewrite the profit function with this substitution: \(\Pi(P, v, w) = P\left(k^{\rho}+l^{\rho}\right)^{\gamma / \rho} - \left[(w^{1-\frac{1}{1-\rho}}+v^{1-\frac{1}{1-\rho}})^{\frac{1}{(1-\frac{1}{1-\rho}})}\right]\left(k^{\rho}+l^{\rho}\right)^{\gamma / \rho}\) By simplifying this expression, we can write the profit function as: \(\Pi(P, v, w)=K P^{1 /(1-\gamma)}\left(v^{1-\sigma}+w^{1-\sigma}\right)^{\gamma /(1-\sigma)(\gamma-1)}\) b. Explain why this profit function provides a reasonable representation of a firm's behavior only for \(0<\gamma<1\) When \(0<\gamma<1\), the CES production function represents diminishing returns to scale. With \(\rho\) between 0 and 1, the elasticity of substitution is greater than 1, which means that capital and labor can substitute for one another, providing flexibility in production decisions. This ensures that the firm behaves optimally by adjusting its production process as prices and input costs change. c. Explain the role of the elasticity of substitution \((\sigma)\) in this profit function The elasticity of substitution, \(\sigma\), indicates how easily the firm can substitute between labor and capital in the production process. In the profit function \(\Pi(P, v, w)\), the term \((v^{1-\sigma}+w^{1-\sigma})\) captures this substitution effect. A higher value of \(\sigma\) indicates that the firm can more easily adjust its production inputs to changes in input prices. d. What is the supply function in this case? How does \(\sigma\) determine the extent to which that function shifts when input prices change? The supply function is obtained by maximizing the profit function with respect to the price, that is, taking the derivative of the profit function with respect to price and set it equal to zero. The supply function will depend on the values of \(v\), \(w\), and \(\sigma\). A higher value of \(\sigma\) implies that the firm can more easily adjust its production inputs when input prices change, resulting in a more responsive supply function. e. Derive the input demand functions in this case. How are these functions affected by the size of \(\sigma\)? To derive the input demand functions, we need to take the partial derivatives of the profit function with respect to the input prices (\(v\) and \(w\)), and set them equal to zero. For labor demand function: \(\frac{\partial\Pi}{\partial v}=0\) Solve it to get: \(L(P, v, w, \sigma) = ...\) For capital demand function: \(\frac{\partial\Pi}{\partial w}=0\) Solve it to get: \(K(P, v, w, \sigma) = ...\) The size of \(\sigma\) affects the degree of substitutability between labor and capital. Higher \(\sigma\) implies that the firm can more easily adjust its input demands when input prices change, resulting in more responsive input demand functions.

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Key Concepts

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

Understanding the Profit Function
The profit function represents a firm's earnings after subtracting all costs from its total revenue. It is a vital tool for businesses as it signifies the relationship between input costs, output price, and the amount of profit generated.

For a firm using a CES (Constant Elasticity of Substitution) production function, the profit function can be expressed as
\[\begin{equation}\Pi(P, v, w)=K P^{1/(1-\gamma)}\left(v^{1-\sigma}+w^{1-\sigma}\right)^{\gamma/(1-\sigma)(\gamma-1)}\end{equation}\]
where \(P\) is the price of output, \(v\) is the price of labor, \(w\) is the price of capital, \(\gamma\) represents the returns to scale, and \(\sigma\) is the elasticity of substitution. The profit function's validity is confined to when \(0<\gamma<1\), implying diminishing returns to scale.

This specified range ensures that the firm cannot indefinitely increase output by scaling up inputs, reflecting a more realistic production environment. When profit maximization is the goal, the firm will adjust input usage to optimize the trade-off between the costs of labor and capital and the revenue generated by the resulting output.

To employ the profit function effectively, firms must understand its components and how changes in input prices or output price can affect overall profitability. This understanding enables better decision-making regarding production levels and input utilization.
The Elasticity of Substitution
Elasticity of substitution, denoted by \(\sigma\), plays a crucial role in accommodating shifts in input prices within the CES production function context. It's a measure of how easily a firm can substitute between different factors of production, like capital \(k\) and labor \(l\), when relative prices change.

In the profit function
\[\begin{equation}\Pi(P, v, w)\end{equation}\]
the term
\[\begin{equation}(v^{1-\sigma}+w^{1-\sigma})\end{equation}\]
reflects how the elasticity impacts the firm's decision-making. A higher \(\sigma\) value suggests that the firm can more readily adjust its mix of capital and labor in response to changing cost structures, while a lower \(\sigma\) means that there are greater challenges in substituting inputs, possibly leading to less efficient production strategies.

Essentially, \(\sigma\) is indicative of the flexibility in the production process. In practical terms, a higher elasticity of substitution means that a firm can respond to an increase in the price of one input by using more of the other input without significantly affecting production levels.
Input Demand Functions
Input demand functions are mathematical representations that illustrate how a firm determines the quantity of inputs it will employ, based on the prices of these inputs and the level of output it aims to produce.

The elasticity of substitution \(\sigma\) considerably affects these demand functions. Within the CES production function framework, the demand functions for capital and labor can be derived by taking the partial derivatives of the profit function with respect to the input prices \(v\) and \(w\), then setting them equal to zero to solve for the optimal quantity of each input used.

As the value of \(\sigma\) increases, indicating greater substitutability, the response of input demands to price changes becomes more elastic. In simpler terms, if the price of labor increases and the elasticity of substitution is high, a firm can more readily reduce its labor usage and compensate with an increased use of capital, without drastically affecting production outputs. Conversely, a low \(\sigma\) value implies stiffer input demands; changes in input prices would lead to smaller adjustments in the input mix used by the firm, potentially affecting production volume and cost efficiency.

The understanding of input demand functions and how they are impacted by the elasticity of substitution is essential for businesses in order to adaptively manage their resources and maintain cost-effectiveness under variable market conditions.

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Most popular questions from this chapter

Because firms have greater flexibility in the long run, their reactions to price changes may be greater in the long run than in the short run. Paul Samuelson was perhaps the first economist to recognize that such reactions were analogous to a principle from physical chemistry termed the Le Châtelier's Principle. The basic idea of the principle is that any disturbance to an equilibrium (such as that caused by a price change) will not only have a direct effect but may also set off feedback effects that enhance the response. In this problem we look at a few examples. Consider a price-taking firm that chooses its inputs to maximize a profit function of the \\[ \text { form } \Pi(P, v, w)=P f(k, l)-w l-v k . \text { This maximiza- } \\] tion process will yield optimal solutions of the general form \(q^{*}(P, v, w), l^{*}(P, v, w),\) and \(k^{*}(P, v, w) .\) If we constrain capital input to be fixed at \(\bar{k}\) in the short run, this firm's short-run responses can be represented by \(q^{s}(P, w, \bar{k})\) and \(l^{s}(P, w, \bar{k})\) a. Using the definitional relation \(q^{*}(P, v, w)=q^{*}(P, w\) \(\left.k^{\prime \prime}(P, v, w)\right),\) show that $$\frac{\partial q^{*}}{\partial P}=\frac{\partial q^{s}}{\partial P}+\frac{-\left(\frac{\partial k^{*}}{\partial P}\right)^{2}}{\frac{\partial k^{*}}{\partial v}}$$ Do this in three steps. First, differentiate the definitional relation with respect to \(P\) using the chain rule. Next, differentiate the definitional relation with respect to \(v\) (again using the chain rule), and use the result to substitute for \(\partial q^{s} / \partial k\) in the initial derivative. Finally, substitute a result analogous to part (c) of Problem 11.10 to give the displayed equation. b. Use the result from part (a) to argue that \(\partial q^{*} / \partial P \geq\) \(\partial q^{s} / \partial P .\) This establishes Le Châtelier's Principle for supply: Long-run supply responses are larger than (constrained short-run supply responses. c. Using similar methods as in parts (a) and (b), prove that Le Châtelier's Principle applies to the effect of the wage on labor demand. That is, starting from the definitional relation \(l^{*}(P, v, w)=l^{*}\left(P, w, k^{*}(P, v, w)\right),\) show that \(\partial l^{*} / \partial w \leq \partial l^{5} / \partial w,\) implying that long-run labor demand falls more when wage goes up than short-run labor demand (note that both of these derivatives are negative). d. Develop your own analysis of the difference between the short-and long-run responses of the firm's cost function \([C(v, w, q)]\) to a change in the wage \((w)\)

This problem concerns the relationship between demand and marginal revenue curves for a few functional forms. a. Show that, for a linear demand curve, the marginal revenue curve bisects the distance between the vertical axis and the demand curve for any price. b. Show that, for any linear demand curve, the vertical distance between the demand and marginal revenue curves is \(-1 / b \cdot q,\) where \(b(<0)\) is the slope of the demand curve. c. Show that, for a constant elasticity demand curve of the form \(q=a P^{b},\) the vertical distance between the demand and marginal revenue curves is a constant ratio of the height of the demand curve, with this constant depending on the price elasticity of demand. d. Show that, for any downward-sloping demand curve, the vertical distance between the demand and marginal revenue curves at any point can be found by using a linear approximation to the demand curve at that point and applying the procedure described in part (b). e. Graph the results of parts (a)-(d) of this problem.

Young's theorem can be used in combination with the envelope results in this chapter to derive some useful results. a. Show that \(\partial l(P, v, w) / \partial v=\partial k(P, v, w) / \partial w .\) Interpret this result using substitution and output effects. b. Use the result from part (a) to show how a unit tax on labor would be expected to affect capital input. c. Show that \(\partial q / \partial w=-\partial l / \partial P\). Interpret this result. d. Use the result from part (c) to discuss how a unit tax on labor input would affect quantity supplied.

The demand for any input depends ultimately on the demand for the goods that input produces. This can be shown most explicitly by deriving an entire industry's demand for inputs. To do so, we assume that an industry produces a homogeneous good, \(Q\), under constant returns to scale using only capital and labor. The demand function for \(Q\) is given by \(Q=D(P),\) where \(P\) is the market price of the good being produced. Because of the constant returns-to- scale assumption, \(P=M C=A C .\) Throughout this problem let \(C(v, w, 1)\) be the firm's unit cost function. a. Explain why the total industry demands for capital and labor are given by \(k=Q C_{v}\) and \(l=Q C_{w^{-}}\) b. Show that \\[ \frac{\partial k}{\partial v}=Q C_{v v}+D^{\prime} C_{v}^{2} \quad \text { and } \quad \frac{\partial l}{\partial w}=Q C_{w w}+D^{\prime} C_{w}^{2} \\] c. Prove that \\[ C_{w}=\frac{-w}{v} C_{v w} \quad \text { and } \quad C_{w w}=\frac{-v}{w} C_{v w} \\] d. Use the results from parts (b) and (c) together with the elasticity of substitution defined \(\sigma=C C_{v w} / C_{v} C_{w}\) to show that \\[ \frac{\partial k}{\partial v}=\frac{w l}{Q} \cdot \frac{\sigma k}{v C}+\frac{D^{\prime} k^{2}}{Q^{2}} \text { and } \frac{\partial l}{\partial w}=\frac{v k}{Q} \cdot \frac{\sigma l}{w C}+\frac{D^{\prime} P}{Q^{2}} \\] e. Convert the derivatives in part (d) into elasticities to show that \\[ e_{k, v}=-s_{l} \sigma+s_{k} e_{Q, P} \quad \text { and } \quad e_{l, w}=-s_{k} \sigma+s_{l} e_{Q, P} \\] where \(e_{Q, P}\) is the price elasticity of demand for the product being produced. f. Discuss the importance of the results in part (c) using the notions of substitution and output effects from Chapter 11

Suppose that a firm's production function exhibits technical improvements over time and that the form of the function is \(q=f(k, l, t) .\) In this case, we can measure the proportional rate of technical change as \\[ \frac{\partial \ln q}{\partial t}=\frac{f_{t}}{f} \\] (compare this with the treatment in Chapter 9 ). Show that this rate of change can also be measured using the profit function as \\[ \frac{\partial \ln q}{\partial t}=\frac{\Pi(P, v, w, t)}{P q} \cdot \frac{\partial \ln \Pi}{\partial t} \\] That is, rather than using the production function directly, technical change can be measured by knowing the share of profits in total revenue and the proportionate change in profits over time (holding all prices constant). This approach to measuring technical change may be preferable when data on actual input levels do not exist.

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