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How would you expect an increase in output price, \(P\), to affect the demand for capital and labor inputs? a. Explain graphically why, if neither input is inferior, it seems clear that a rise in \(P\) must not reduce the demand for either factor. b. Show that the graphical presumption from part (a) is demonstrated by the input demand functions that can be derived in the Cobb-Douglas case. c. Use the profit function to show how the presence of inferior inputs would lead to ambiguity in the effect of \(P\) on input demand.

Short Answer

Expert verified
Answer: In the presence of inferior inputs, the effect of an increase in output price on the demand for capital and labor inputs is ambiguous, as the relationship between output and input demand is no longer straightforward. An increase in output price might increase or decrease the demand for a particular input, depending on whether it is inferior or not.

Step by step solution

01

Part (a): Graphical Explanation #

Let's assume that a firm produces output using two inputs: capital (K) and labor (L). The production function can be represented by the isoquant curve. Isoquants represent combinations of inputs that produce the same level of output. When the output price, \(P\), increases, the firm seeks to maximize profits by producing more output. To explain graphically, we can draw an isoquant map showing isoquants for different levels of output. However, since higher isoquants represent higher outputs, as the output price increases and firms seek to produce more, they will move to a higher isoquant. If neither input is inferior, which means that as output increases, the firm will need to use more of both K and L, the firm will move towards a higher isoquant that requires more capital and labor. Consequently, a rise in \(P\) must not reduce the demand for either factor.
02

Part (b): Cobb-Douglas Input Demand Functions #

Suppose the firm produces output according to the Cobb-Douglas production function: \[F(K,L) = A K^\alpha L^\beta\] where A, \(\alpha\) and \(\beta\) are constant parameters. In the Cobb-Douglas case, the input demand functions for capital and labor are given by: \[K^* = \alpha \frac{w}{r}L^*\] \[L^* = \beta \frac{r}{w}K^*\] where \(K^*\) and \(L^*\) are the optimal demand for capital and labor, and w and r represent the cost of labor and capital, respectively. Notice that both \(K^*\) and \(L^*\) are increasing functions with respect to P. Thus, the graphical presumption from part (a) is demonstrated by the input demand functions in the Cobb-Douglas case.
03

Part (c): Profit Function and Inferior Inputs #

Let's assume the profit function is given by: \[\pi = PF(K,L) - wL - rK\] where \(\pi\) represents profit, P is the output price, F(K,L) is the production function, w and r are the costs of labor and capital as before. Taking partial derivatives of the profit function with respect to K and L, we get the following conditions for profit maximization: \[\frac{\partial \pi}{\partial K} = P\frac{\partial F(K,L)}{\partial K} - r = 0\] \[\frac{\partial \pi}{\partial L} = P\frac{\partial F(K,L)}{\partial L} - w = 0\] When neither input is inferior, an increase in P leads to an increase in output, which in turn increases the demand for both K and L. However, if one of the inputs is inferior, an increase in output may reduce the demand for that particular input. In that case, we may observe that \(\frac{\partial F(K,L)}{\partial K}\) or \(\frac{\partial F(K,L)}{\partial L}\) is negative. The presence of inferior inputs creates ambiguity in the effect of \(P\) on input demand because the relationship between output and input demand is no longer straightforward. An increase in \(P\) might increase or decrease the demand for a particular input, depending on whether it is inferior or not. Thus, in the presence of inferior inputs, conclusions drawn from graphical analysis in part (a) and Cobb-Douglas input-demand functions in part (b) may not hold.

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Key Concepts

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

Production Function
In economics, a production function is a mathematical equation that describes the relationship between input resources and the maximum output that can be produced. It is an essential concept because it helps understand how different inputs, like labor and capital, affect output levels. A typical production function requires inputs to transform into goods or services. In simple terms, it is about how businesses or firms convert resources into products.

Production functions are vital for making decisions about resource allocation and understanding how changes in input quantities impact the quantity of output.
They allow firms to analyze the efficiency of their production process. A well-known form of production function is the Cobb-Douglas, which will be explained further in this article. This type of function provides insights into the scalability of production and how varying input levels can result in different production outputs.
Isoquants
Isoquants are curves that represent combinations of various inputs that produce the same quantity of output. They are similar to indifference curves in consumer theory but are used in production analysis for firms.

Visualizing Isoquants:
  • **Higher Isoquants:** Represent higher levels of output as they indicate more significant quantities of production using different combinations of inputs.
  • **Slope Interpretation:** The slope of an isoquant provides information about the rate at which one input can be substituted for another while maintaining the same level of output.
Isoquants help firms decide on the right mix of input resources to achieve efficient production. They are essential in analyzing how firms can adjust inputs in response to changes in external factors such as price changes.
Cobb-Douglas
The Cobb-Douglas production function is a particular form of production function that depicts how two or more inputs interact to produce output. It is expressed as:
\[F(K, L) = A K^\alpha L^\beta\]

In this function:
  • **A** represents total factor productivity, indicating shifts in overall production efficiency.
  • **K** and **L** are capital and labor, the primary inputs, with **α** and **β** as their respective output elasticities.
  • **α** and **β** indicate the proportionate contributions of capital and labor to the production process.
This model is frequently used because it provides a straightforward way to measure the efficiency and impact of input factors on output. The elasticities **α** and **β** are important as they help determine returns to scale, indicating whether doubling input results in double output or not.
Profit Maximization
Profit maximization is the process through which firms decide the best level of output and input combinations to achieve the highest possible profit. The profit function is given by:
\[\pi = PF(K, L) - wL - rK\]

In this function:
  • **π** is the profit.
  • **P** is the price of the output.
  • **F(K, L)** is the production function.
  • **w** and **r** are the wages for labor and the rent for capital, respectively.
Firms maximize profits by adjusting their input levels such that the marginal cost of inputs is equal to the marginal product multiplied by the price of the output.

When neither input is inferior, an increase in output price generally increases the demand for both inputs as generating more output becomes profitable. However, if an input is inferior, an increase in output price might not increase its demand due to the negative marginal product, creating ambiguity in expected profits.

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Most popular questions from this chapter

The market for high-quality caviar is dependent on the weather. If the weather is good, there are many fancy parties and caviar sells for \(\$ 30\) per pound. In bad weather it sells for only \(\$ 20\) per pound. Caviar produced one weck will not keep until the next week. A small caviar producer has a cost function given by $$C=0.5 q^{2}+5 q+100$$ where \(q\) is weekly caviar production. Production decisions must be made before the weather (and the price of caviar) is known, but it is known that good weather and bad weather each occur with a probability of 0.5 a. How much caviar should this firm produce if it wishes to maximize the expected value of its profits? b. Suppose the owner of this firm has a utility function of the form \\[ \text { utility }=\sqrt{\pi} \\] where \(\pi\) is weekly profits. What is the expected utility associated with the output strategy defined in part (a)? c. Can this firm owner obtain a higher utility of profits by producing some output other than that specified in parts (a) and (b)? Explain. d. Suppose this firm could predict next week's price but could not influence that price. What strategy would maximize expected profits in this case? What would expected profits be?

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.

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 form \(\Pi(P, v, w)=P f(k, 1)-w l-v k .\) This maximization process will yield optimal solutions of the general form \(q^{*}(P, v, w), I^{*}(P, v, w),\) 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 \(I^{*}(P, w, \bar{k})\) a. Using the definitional relation \(q^{*}(P, v, w)=q^{s}\left(P, w, k^{*}(P, v, w)\right),\) 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 \(\partial q^{3} / \partial k\) 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 \(l^{*}(P, v, w)=l^{s}\left(P, w, k^{*}(P, v, w)\right),\) show that \(\partial l^{*} / \partial w \leq \partial l^{s} / \partial w\) 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 \((w)\)

With two inputs, cross-price effects on input demand can be easily calculated using the procedure outlined in Problem 11.12 a. Use steps (b), (d), and (e) from Problem 11.12 to show that \\[ e_{K, w}=s_{L}\left(\sigma+e_{Q, P}\right) \quad \text { and } \quad e_{L, v}=s_{K}\left(\sigma+e_{Q, P}\right) \\] b. Describe intuitively why input shares appear somewhat differently in the demand elasticities in part (e) of Problem 11.12 than they do in part (a) of this problem. c. The expression computed in part (a) can be easily generalized to the many- input case as \(e_{x_{i}, w_{i}}=s_{j}\left(A_{i j}+e_{Q, P}\right),\) where \(A_{i j}\) is the Allen elasticity of substitution defined in Problem 10.12 . For reasons described in Problems 10.11 and 10.12 , this approach to input demand in the multi-input case is generally inferior to using Morishima elasticities. One oddity might be mentioned, however. For the case \(i=j\) this expression seems to say that \(e_{L, w}=s_{L}\left(A_{L L}+e_{Q . P}\right),\) and if we jumped to the conclusion that \(A_{L L}=\sigma\) in the two-input case, then this would contradict the result from Problem \(11.12 .\) You can resolve this paradox by using the definitions from Problem 10.12 to show that, with two inputs, \(A_{L L}=\left(-s_{K} / s_{L}\right) \cdot A_{K L}=\left(-s_{K} / s_{L}\right) \cdot \sigma\) and so there is no disagreement.

Universal Widget produces high-quality widgets at its plant in Gulch, Nevada, for sale throughout the world. The cost function for total widget production ( \(q\) ) is given by total cost \(=0.25 q^{2}\) Widgets are demanded only in Australia (where the demand curve is given by \(q_{A}=100-2 P_{A}\) ) and Lapland (where the demand curve is given by \(q_{L}=100-4 P_{L}\) ); thus, total demand equals \(q=q_{A}+q_{L}\). If Universal Widget can control the quantities supplied to each market, how many should it sell in each location to maximize total profits? What price will be charged in each location?

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