We’ve focused so far on the buying decisions of individuals. Now it’s time to pan back and take a broad view, analyzing market demand—the purchasing decisions of all buyers taken as a whole. As a manager, you’ll find this broad view useful because it’s total market demand that tells you how much business is up for grabs. And of course, it’s not just businesses that need to know market demand: Nonprofits seeking donations, universities seeking applicants, and YouTube wanna-be stars seeking subscribers all benefit from being able to estimate market demand for what they’re selling. In each case, you’re interested in assessing the total quantity demanded—across all people—at each price. The market demand curve provides exactly this information: It plots the total quantity of a good demanded by the market (that is, across all potential buyers), at each price.
Let’s explore how real-world managers estimate the market demand curve for their products. As we’ll see, individual demand curves are the building blocks of market demand.
For each price, the market demand curve illustrates the total quantity demanded by the market. This means you’ll need to figure out the total quantity demanded when the price is $1, then $2, then $3, and so on. At each specific price, the total quantity of gas demanded is simply the sum of the quantity that each potential consumer will demand at that price.
One way to get this information is to survey your potential customers. In fact, there’s a simple four-step process that many managers follow to estimate the market demand curve for their products.
When Darren was surveyed about his gas-purchasing behavior (in Figure 1), it was as part of a broader survey that was sent to a representative sample of 300 potential customers, asking each of them about the quantity of gas they plan to buy at each price. Their responses are shown in Panel A, on the left of Figure 6, with each person’s response shown in a different column. I’ve only shown you the responses of the first two people to respond—Darren and Brooklyn—but in the full spreadsheet, there are another 298 columns.
For each price, you should add up the quantity demanded by each person in the survey. The top row shows that when the price is $1 per gallon, Darren demands 7 gallons, Brooklyn demands 4 gallons, and you also need to add up the quantities demanded by each of the other 298 potential customers who were surveyed. This is calculated on the full spreadsheet, and it adds up to 2,800 gallons.
I repeated these calculations for each price from $1 to $5—once for each row—and the results are shown in the first column of Panel B, presented on the right of Figure 5. This is where you can see that at a price of $1 per gallon, the survey respondents would collectively buy 2,800 gallons of gas, and at $2 per gallon, this would fall to 2,400 gallons.
If the total market for gas consisted of just the 300 people we surveyed, then these numbers would represent the market demand. But in reality, there are around 300 million potential customers in the United States. The idea of market research is that our survey of 300 people is intended to be representative of those 300 million potential customers. This means that the total quantity demanded by the entire population will be one million times larger than the total quantity demanded by the 300 survey respondents. Thus, you need to scale up the quantities so that they represent the whole market. (This works well if the 300 people in your survey are representative of the broader population of 300 million Americans.)
In practice, this means that when the price of gas is $1 per gallon, and the 300 people surveyed collectively say that they would buy a total of 2,800 gallons of gas, you can project that the entire market of 300 million consumers would buy 2,800 million gallons of gas (that is, 2.8 billion gallons) per week. Consequently, the projected market demand at each price, shown in the final column of Figure 6, is one million times the total quantity demanded by our survey respondents.
Okay, now that we’ve figured out the total quantity demanded by the market, at each price, all that remains is to draw the market demand curve.
The graphing conventions for market demand curves are the same as when graphing individual demand curves: Price is on the vertical axis, and quantity on the horizontal axis. For each price listed in the first column in Figure 6, you plot the corresponding total quantity demanded by the market, which is listed in the last column. Each row in the table is represented by a purple dot in Figure 7. We then connect these dots to arrive at our estimate of the market demand curve for gasoline in the United States. In fact, this figure is quite similar to the statistical estimates of demand curves that major gasoline executives actually rely on.
We’ve seen (in Figure 7) that the market demand curve in the gas industry is downward-sloping. Executives in virtually every industry have estimated the market demand curves for their products, and time and again, they have found that the total quantity demanded by the market tends to be higher when the price is lower. That is, market demand curves obey the law of demand: The total quantity demanded is higher when the price is lower.
Your understanding of this market-wide phenomenon follows directly from your understanding of individual demand curves. The market demand curve is built by adding up individual demand at each price, and so it inherits many of the characteristics of those individual demand curves. In particular, since lower gas prices induce most people to increase the quantity of gas they demand, lower prices lead the total quantity demanded by the market—that is, the sum of the quantities demanded across all individuals—to increase.
Gas station owners report that there are two reasons why lower prices yield an increase in market demand. First, when prices are low, their current customers buy more gas. Second, gas station owners report that lower prices help them get new customers, as the lower cost of driving encourages some people to buy a car. These two aspects of demand—changing demand among existing customers and extra demand from new customers—are important parts of market demand for most goods.
This is why you have to consider the demand of all potential customers when estimating demand, rather than just looking at current customers, since changes in price can change who your customers are.
Managers find the market demand curve to be useful, because it shows them how the market price shapes the total quantity demanded across all buyers. To forecast the total quantity demanded, simply locate the price on the vertical axis, look straight across until you hit the demand curve, and then look straight down to the quantity axis for your answer. Figure 7 shows that at a price of $4, the total quantity of gas demanded by the market is 1.6 billion gallons per week. To figure out what will happen if the price falls to $2, find the new price on the vertical axis, this time looking across from a price of $2 until you hit a new point on the demand curve. Then look down to the quantity axis, which says that the new quantity of gas demanded is 2.4 billion gallons of gas. Just as the law of demand suggests, a fall in price led to a rise in the quantity demanded, from 1.6 billion to 2.4 billion gallons per week.
Did you notice that the price change led the market to move from one point on the demand curve, to another point along the same curve? In fact, whenever you’re assessing the consequences of a price change—when nothing else is changing (recall we are holding other things constant)—you’ll always compare different points along the same demand curve. That is, price changes cause movement along a fixed demand curve. After all, the demand curve summarizes the entire relationship between price and the quantity demanded. We will use very specific language to make what we are talking about clear: A change in price causes a movement along the demand curve, yielding a change in the quantity demanded. Yes, I know this sounds unwieldy, but it will help keep things straight. Trust me.