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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.

Short Answer

Expert verified
Answer: The marginal revenue curve bisects the distance between the vertical axis and the demand curve at any price for a linear demand curve because they have the same intercept on the price axis, but the marginal revenue curve has twice the slope of the demand curve. When the marginal revenue is zero, the quantity is halfway between the origin and the point on the demand curve, resulting in the vertical distance being equally divided between the demand curve and the marginal revenue curve.

Step by step solution

01

Assume a linear demand curve

Assume a linear demand curve in the form: $$ P = a - b \cdot q $$ where $$P$$ is the price, $$q$$ is the quantity demanded, and $$a$$ and $$b$$ are positive constants (with $$b>0$$).
02

Calculate Total Revenue

Total Revenue ($$TR$$) is the product of price ($$P$$) and quantity ($$q$$): $$ TR = P \cdot q = (a - b \cdot q) \cdot q $$
03

Derive Marginal Revenue

Marginal Revenue ($$MR$$) is the derivative of Total Revenue ($$TR$$) with respect to the quantity ($$q$$): $$ MR = \frac{d(TR)}{dq} = \frac{d((a - b \cdot q) \cdot q)}{dq} $$ Calculating the derivative, we get: $$ MR = a - 2b \cdot q $$ The marginal revenue curve is a straight line with the same intercept as the demand curve and twice the slope. To show that the marginal revenue curve bisects the distance between the vertical axis and the demand curve at any price, let's find the quantity at which the marginal revenue is zero: $$ 0 = a - 2b \cdot q \Rightarrow q = \frac{a}{2b} $$ Plugging this back into the demand curve, we find the price at this point: $$ P = a - b \cdot q = a - b \cdot \frac{a}{2b} = \frac{a}{2} $$ At this point, the marginal revenue curve goes halfway between the vertical axis and the demand curve. b. Calculating the vertical distance between demand and marginal revenue curves for a linear demand curve.
04

Calculate the difference in the slopes

For a linear demand curve, the difference in slopes between the demand curve and the marginal revenue curve is given by $$b$$.
05

Calculate the vertical distance

The vertical distance between the demand and marginal revenue curves is: $$ \Delta P = \frac{1}{b} \cdot q $$ c. Analyze the relationship between demand and marginal revenue curves for a constant elasticity demand curve.
06

Assume a constant elasticity demand curve

Assume a constant elasticity demand curve in the form: $$ q = a \cdot P^{b} $$ where $$a$$ is a positive constant and $$b$$ is the price elasticity of demand, which is negative for a downward-sloping demand curve.
07

Calculate Total Revenue

Total Revenue ($$TR$$) is the product of price ($$P$$) and quantity ($$q$$): $$ TR = P \cdot q = P \cdot (a \cdot P^{b}) $$
08

Derive Marginal Revenue

Marginal Revenue ($$MR$$) is the derivative of Total Revenue ($$TR$$) with respect to the price ($$P$$): $$ MR = \frac{d(TR)}{dP} = \frac{d(P \cdot (a \cdot P^{b}))}{dP} $$ Calculating the derivative, we get: $$ MR = a \cdot P^{b} + b \cdot a \cdot P^{b-1} \cdot P $$ This shows that the vertical distance between the demand and marginal revenue curves is a constant ratio depending on price elasticity $$b$$. d. Finding the vertical distance using a linear approximation.
09

Linear approximation

By using a linear approximation to the demand curve, we can calculate the vertical distance as we did in part (b). 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.
10

Linear demand curve and marginal revenue curve

Graph the linear demand curve ($$P = a - b \cdot q$$) and the marginal revenue curve ($$MR = a - 2b \cdot q $$) to show their relationship, and the vertical distance between them.
11

Constant elasticity demand curve and marginal revenue curve

Graph the constant elasticity demand curve ($$q = a \cdot P^{b}$$) and the corresponding marginal revenue curve ($$MR = a \cdot P^{b} + b \cdot a \cdot P^{b-1} \cdot P$$) to show their relationship, and the vertical distance between them.
12

Downward-sloping demand curve and marginal revenue curve

Graph any downward-sloping demand curve and its respective linear approximation, and the corresponding marginal revenue curve found using the linear approximation. Show the vertical distance between them.

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Key Concepts

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

Understanding the Linear Demand Curve
When studying economics, the concept of a linear demand curve is fundamental. It's depicted as a straight line representing the relationship between the quantity demanded and the price of a product. This line slopes downward, reflecting the law of demand: as price increases, the quantity demanded typically decreases. The equation representing a linear demand curve is \( P = a - b \cdot q \), where \( P \) denotes price, \( q \) denotes quantity demanded, and \( a \) and \( b \) are constants that indicate the curve's position and steepness, respectively.

One of the primary characteristics of the linear demand curve is that the marginal revenue (MR) curve associated with it has the same \( y \)-intercept but is steeper. Specifically, the slope of the MR curve is double that of the demand curve. The consequence is that for any given price, the marginal revenue curve dissects the distance between the price on the demand curve and the vertical axis, illustrating that the rate at which revenue increases with each additional unit sold diminishes as more is sold.

For students visualizing the graph of a linear demand curve and its corresponding MR curve, it is apparent that the MR curve will eventually cross the horizontal axis, indicating a point where additional sales begin to reduce total revenue. This cross-section is crucial for businesses in determining optimal pricing and output levels.
Constant Elasticity Demand Curve Explained
The constant elasticity demand curve, unlike the linear model, isn't represented by a straight line but instead by a curve that shows a constant price elasticity of demand. Price elasticity of demand measures how much the quantity demanded responds to a change in price, a key concept in economics affecting pricing strategies and revenue analysis.

The formula for a constant elasticity demand curve is \( q = a \cdot P^{b} \), where \( q \) denotes the quantity demanded, \( P \) is the price, \( a \) is a positive constant, and \( b \) embodies the elasticity of demand. Here, \( b \) is negative to signify that the relationship between price and quantity demanded is typically inversely related. Important to note, this type of demand curve shows a proportional change in quantity demanded for a proportional change in price at any point on the curve, meaning elasticity is constant.

For businesses, understanding the implications of price changes on demand when the demand curve has constant elasticity can be critical for decision-making. It enables the prediction of revenue outcomes from various pricing strategies, which is cross-sectional to understanding how consumers will react to price variations within a market.
Price Elasticity of Demand Demystified
The price elasticity of demand is a nuanced concept that measures the responsiveness of the amount of a good or service demanded to a change in its price. It's an essential concept for both microeconomic theory and practical business application, gauging consumer behavior and the flexibility of the market.

Mathematically, it is expressed as the percentage change in quantity demanded divided by the percentage change in price. When the price elasticity of demand is high, consumers are sensitive to price changes, potentially leading to a significant drop in sales volume when prices increase. Conversely, a low elasticity implies that price changes have a less pronounced effect on the quantity demanded.

Key factors influencing price elasticity include the availability of substitutes, the necessity of the product, and the proportion of income spent on the product. Businesses often use the price elasticity of demand to set prices that maximize profits. They prefer to increase prices for goods with inelastic demand and be more cautious with goods with elastic demand to avoid substantial losses in quantity sold. For academic purposes, students should remember that price elasticity is not static and can vary with price levels, income levels, and over time.

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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?

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.

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?

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.

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 \(\Pi(P, v, w)=K P^{1 /(1-\gamma)}\left(v^{1-\alpha}+w^{1-\sigma}\right)^{\gamma /(1-\sigma)(\gamma-1)},\) 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. 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 \(\sigma ?\)

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