What you’ll learn to do: explain the relationship between a firm’s price elasticity of demand and total revenue
Price elasticity of demand describes how changes in the price for goods and the demand for those same goods relate. As those two variables interact, they can have an impact on a firm’s total revenue. Revenue is the amount of money a firm brings in from sales—i.e., the total number of units sold multiplied by the price per unit. Therefore, as the price or the quantity sold changes, those changes have a direct impact on revenue.
Businesses seek to maximize their profits, and price is one tool they have at their disposal to influence demand (and therefore sales). Picking the right price is tricky, though. What happens with a price increase? Will customers buy only a little less, such that the price increase raises revenues, or will they buy a lot less, such that the price increase lowers revenues? Might the company earn more if it lowers prices, or will that just lead to lower revenue per unit without stimulating new demand? These are critical questions for every business.
Learning Objectives
 Explain how differences in elasticity affect total revenue
Total Revenue and Elasticity of Demand
Studying elasticities is useful for a number of reasons, pricing being the most important. Imagine that a band on tour is playing in an indoor arena with 15,000 seats. To keep this example simple, assume that the band keeps all the money from ticket sales. Assume further that the band pays the costs for its appearance, but that these costs, like travel, setting up the stage, and so on, are the same regardless of how many people are in the audience. Finally, assume that all the tickets have the same price. (The same insights apply if ticket prices are more expensive for some seats than for others, but the calculations become more complicated.) The band knows that it faces a downwardsloping demand curve; that is, if the band raises the price of tickets, it will sell fewer tickets. How should the band set the price for tickets to bring in the most total revenue, which in this example, because costs are fixed, will also mean the highest profits for the band? Should the band sell more tickets at a lower price or fewer tickets at a higher price?
The key concept in thinking about collecting the most revenue is the price elasticity of demand. Total revenue is price times the quantity of tickets sold (TR = P x Qd). Imagine that the band starts off thinking about a certain price, which will result in the sale of a certain quantity of tickets. The three possibilities are laid out in Table 1. If demand is elastic at that price level, then the band should cut the price, because the percentage drop in price will result in an even larger percentage increase in the quantity sold—thus raising total revenue. However, if demand is inelastic at that original quantity level, then the band should raise the price of tickets, because a certain percentage increase in price will result in a smaller percentage decrease in the quantity sold—and total revenue will rise. If demand has a unitary elasticity at that quantity, then a moderate percentage change in the price will be offset by an equal percentage change in quantity—so the band will earn the same revenue whether it (moderately) increases or decreases the price of tickets.
Table 1. Price Elasticity of Demand  
If demand is . . .  Then . . .  Therefore . . . 
Elastic  % change in Qd is greater than % change in P 

Unitary  % change in Qd is equal to % change in P 

Inelastic  % change in Qd is less than % change in P 

If demand is elastic at a given price level, then should a company cut its price, the percentage drop in price will result in an even larger percentage increase in the quantity sold—thus raising total revenue. However, if demand is inelastic at the original quantity level, then should the company raise its prices, the percentage increase in price will result in a smaller percentage decrease in the quantity sold—and total revenue will rise.
Let’s explore some specific examples. In both cases we will answer the following questions:
 How much of an impact do we think a price change will have on demand?
 How would we calculate the elasticity, and does it confirm our assumption?
 What impact does the elasticity have on total revenue?
Example 1: The Student Parking Permit
How elastic is the demand for student parking passes at your institution?
The answer to that question likely varies based on the profile of your institution, but we are going to explore a particular example. Let’s consider a community college campus where all of the students commute to class. Required courses are spread throughout the day and the evening, and most of the classes require classroom attendance (rather than online participation). There is a reasonable public transportation system with busses coming to and leaving campus from several lines, but the majority of students drive to campus. A student parking permit costs $40 per term. As the parking lots become increasingly congested, the college considers raising the price of the parking passes in hopes that it will encourage more students to carpool or to take the bus.
If the college increases the price of a parking permit from $40 to $48, how many fewer students will buy parking permits?
If you think that the change in price will cause many students to decide not to buy a permit, then you are suggesting that the demand is elastic—the students are quite sensitive to price changes. If you think that the change in price will not impact student permit purchases much, then you are suggesting that the demand is inelastic—student demand for permits is insensitive to price changes.
In this case, we can all argue that students are very sensitive to increases in costs in general, but the determining factor in their demand for parking permits is more likely to be the quality of alternative solutions. If the bus service does not allow students to travel between home, school, and work in a reasonable amount of time, many students will resort to buying a parking permit, even at the higher price. Because students don’t generally have extra money, they may grumble about a price increase, but many will still have to pay.
Let’s add some numbers and test our thinking. The college implements the proposed increase of $8, taking the new price to $48. Last year the college sold 12,800 student parking passes. This year, at the new price, the college sells 11,520 parking passes.
[latex]\displaystyle\text{percent change in quantity}=\frac{11,52012,800}{(11,520+12,800)\div{2}}\times{100}=\frac{1280}{12160}\times{100}=10.53[/latex]
[latex]\displaystyle\text{percent change in price}=\frac{4840}{(48+40)\div{2}}\times{100}=\frac{8}{44}\times{100}=18.18[/latex]
[latex]\displaystyle\text{Price Elasticity of Demand}=\frac{10.53\text{ percent}}{18.18\text{ percent}}=.58[/latex]
First, looking only at the percent change in quantity and the percent change in price we know that an 18% change in price will resulted in an 11% change in demand. In other words, a large change in price created a comparatively smaller change in demand. We can also see that the elasticity is 0.58. When the absolute value of the price elasticity is < 1, the demand is inelastic. In this example, student demand for parking permits is inelastic.
What impact does the price change have on the college and their goals for students? First, there are 1,280 fewer cars taking up parking places. If all of those students are using alternative transportation to get to school and this change has relieved parkingcapacity issues, then the college may have achieved its goals. However, there’s more to the story: the price change also has an effect on the college’s revenue, as we can see below:
Year 1: 12,800 parking permits sold x $40 per permit = $512,000
Year 2: 11,520 parking permits sold x $48 per permit = $552,960
The college earned an additional $40,960 in revenue. Perhaps this can be used to expand parking or address other student transportation issues.
In this case, student demand for parking permits is inelastic. A significant change in price leads to a comparatively smaller change in demand. The result is lower sales of parking passes but more revenue.
Note: If you attend an institution that offers courses completely or largely online, the price elasticity for parking permits might be perfectly inelastic. Even if the institution gave away parking permits, students might not want them.
Example 2: Helen’s Cookies
Have you been at the counter of a convenience store and seen
cookies for sale on the counter? In this example we are going to consider a baker, Helen, who bakes these cookies and sells them for $2 each. The cookies are sold in a convenience store, which has several options on the counter that customers can choose as a lastminute impulse buy. All of the impulse items range between $1 and $2 in price. In order to raise revenue, Helen decides to raise her price to $2.20.
If Helen increases the cookie price from $2.00 to $2.20—a 10% increase—will fewer customers buy cookies?
If you think that the change in price will cause many buyers to forego a cookie, then you are suggesting that the demand is elastic, or that the buyers are sensitive to price changes. If you think that the change in price will not impact sales much, then you are suggesting that the demand for cookies is inelastic, or insensitive to price changes.
Let’s assume that this price change does impact customer behavior. Many customers choose a $1 chocolate bar or a $1.50 doughnut over the cookie, or they simply resist the temptation of the cookie at the higher price. Before we do any math, this assumption suggests that the demand for cookies is elastic.
Adding in the numbers, we find that Helen’s weekly sales drop from 200 cookies to 150 cookies. This is a 25% change in demand on account of a 10% price increase. We immediately see that the change in demand is greater than the change in price. That means that demand is elastic. Let’s do the math.
[latex]\displaystyle\text{percent change in quantity}=\frac{150200}{(150+200)\div{2}}\times{100}=\frac{50}{175}\times{100}=28.75[/latex]
[latex]\displaystyle\text{percent change in price}=\frac{2.202.00}{(2.00+2.20)\div{2}}\times{100}=\frac{.20}{2.10}\times{100}=9.52[/latex]
[latex]\displaystyle\text{Price Elasticity of Demand}=\frac{28.75\text{ percent}}{9.52\text{ percent}}=3[/latex]
When the absolute value of the price elasticity is > 1, the demand is elastic. In this example, the demand for cookies is elastic.
What impact does this have on Helen’s objective to increase revenue? It’s not pretty.
Price 1: 200 cookies sold x $2.00 per cookie = $400
Price 2: 150 cookies sold x $2.20 = $330
She is earning less revenue because of the price change. What should Helen do next? She has learned that a small change in price leads to a large change in demand. What if she lowered the price slightly from her original $2.00 price? If the pattern holds, then a small reduction in price will lead to a large increase in sales. That would give her a much more favorable result.
Try It
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These questions allow you to get as much practice as you need, as you can click the link at the top of the first question (“Try another version of these questions”) to get a new set of questions. Practice until you feel comfortable doing the questions.
Glossary
 Total revenue:
 the price of an item multiplied by the number of units sold: TR = P x Qd