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Bundling is the selling of two or more goods as a packaged unit. There are lots of examples: ... buyer's reservation pri

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Beginning Bundling Theory John Eckalbar Bundling is the selling of two or more goods as a packaged unit. There are lots of examples: Operating systems are bundled with web browsers. Word processing programs with spreadsheets. Hardware with software. Hardware with hardware. Articles are bundled into magazines. Music is bundled into CD’s. Houses are bundles of appliances, windows, etc. In our first example, we imagine a monopolist selling two different goods to six potential customers, traders A through F. Their reservation prices for the two goods are shown in Table 1 below. And the resulting demand curve data is shown below the table. TABLE 1 Good 1 Good 2 Trader Reservation price (r1) Trader Reservation price (r2) A 6 F 6 B 5 E 5 C 4 D 4 D 3 C 3 E 2 B 2 F 1 A 1 Both demand curves go through these points: P 6 5 4 3 2 1

Q 1 2 3 4 5 6

Assume for now that all costs are fixed, with FCi denoting the fixed cost in division i. See if you can determine what price the monopolist would charge for good 1 if it sold that product separately. The answer is that the firm would be indifferent between setting the price at $3 or $4. In either case division 1 profits would be $12 - FC1. In the same way, division 2 profits will be $12 - FC2. Thus total company profits are $24 - FC1 - FC2 if sales of the two goods are kept separate. Is there anything the firm might do to raise its profits? Sure. It could price discriminate. With perfect price discrimination, profits would be $42 - FC1 - FC2. That is because the firm collects each buyer’s reservation price under perfect price discrimination. There is another tactic that might be used to increase profit. Here’s a question: What would be trader A’s reservation price for a bundle containing goods 1 and 2? If we assume that the reservation value of the bundle is the sum of the individual reservation values, then the answer is obvious–$7. Now note that in the present example, every trader’s reservation value for the bundle is $7. So if the firm only offered bundles containing goods 1 and 2, it would sell six bundles at $7 each, and its profits

would be $42 - FC1 - FC2, the same as perfect price discrimination. This shows how bundling can increase profits compared with separate sales. Maybe that is why Time Magazine has articles on both hockey and ballet, after all, a magazine is a bundle of articles. In the following page, we see how bundling is most advantageous when marginal costs are low. To keep things simple, we will now assume that FC 1 and FC2 are zero and that ATC1 = MC1 and ATC2 = MC2. For simplicity, we will call ATCi = MCi = Ci. Now we have the following table of prices, demands, revenues, and profits. GOOD 1 TRADER A B C D E F

RE S. P 6 5 4 3 2 1

P 6 5 4 3 2 1

Q 1 2 3 4 5 6

TR 6 10 12 12 10 6

IF ATC1 = 1 5 8 9 8 5 0

PR OF IT IF ATC1 = 2.50 3.5 5 4.5 2 -2.5 -9

IF ATC1 = 4.50 1.5 1 -1.5 -6 -12.5 -21

TR 6 10 12 12 10 6

IF ATC2 = 1 5 8 9 8 5 0

PR OF IT IF ATC2 = 2.50 3.5 5 4.5 2 -2.5 -9

IF ATC2 = 4.50 1.5 1 -1.5 -6 -12.5 -21

Good 2 works just the same, as you see below: GOOD 2 TRADER F E D C B A

RE S. P 6 5 4 3 2 1

P 6 5 4 3 2 1

Q 1 2 3 4 5 6

Notice that if the firm sold the goods separately, the optimum price would depend upon the costs. If Ci = 1, the firm would max profit by charging $4 for each good. It would sell 3 for a TR of $12 and a profit of 12 - (1)(3) = 9. If Ci = 2.50 it would charge $5, and if Ci = 4.50, it would charge $6. The profits on each good under these cost assumptions are shown to the right of the table. Note that if Ci = 4.50 and if the firm only sold the goods separately, the firm would set the price of each good at $6. It would then sell one of each for a total profit of 1.50 + 1.50 = 3.00. (With respect to separate sales, it is easy to see that if 0 < Ci < 2, the firm will maximize profits by charging $4 and selling 3 units. If 2 < Ci < 4, the firm will charge $5 and sell 2 units. And if 4 < Ci < 6, the firm will charge $6 and sell one unit. Note that the firm can make a profit with separate sales of good i as long as the highest reservation price for good i is greater than Ci.) Suppose that the ATC and MC for the bundle is equal to the sum of the ATC’s or MC’s of the individual goods. Then if Ci = 4.50 for both goods, the cost to make a bundle is $9, so bundling is less profitable than separate sales when Ci is “high.” This is an important result in bundling theory–bundling ceases to be advantageous when the goods are costly to make. With the data in Table 1, all traders have a reservation price of $7 for the bundle. If we assume that the marginal cost of the bundle is C1 + C2, so there are no economies or diseconomies of production with bundling, then pure

bundling cannot pay if C1 + C2 > 7, while separate sales could easily pay if C1 + C2 > 7. For example, as we saw, if the marginal costs for both goods are equal to $4.50, then it costs $9 to make the bundle, and no one is willing to pay that much for the bundle. But if the firm sells the goods separately and charges six dollars for each good, it will sell one of each for a combined profit of $3. It is obvious from this that high marginal cost will dissuade firms from bundling. No doubt this has something to do with why it is so common to bundle software on a CD. The MC to add a program to a CD is roughly zero. Notice that if ATC1 = ATC2 = 1 and GATC = 2, then if you sell six bundles at $7 each, profits are (6)(7) - (2)(6) = 30, while profits are only18 if you sell the goods separately. Suppose for a moment that Ci = 2.50. If the firm did not bundle, it would sell each good for 5, and it would sell two units of each good. Total profit would be (5)(4) - (4)(2.50) = 10. If the firm instead elected to offer only a bundle at 7, it would take in 42 in revenue and have expenses of 30, for a profit of 12. Thus, pure bundling would dominate separate sales if both marginal costs were equal to 2.50. A comment: Notice that in the pure bundling case traders E and F buy the bundle containing good 1 even though their reservation values for good 1 are lower than the marginal cost of good 1. Similarly, traders A and B buy the bundle even though r2 < C2 for them. Of course, it is socially sub-optimal to have traders taking possession of goods when the traders value the goods below marginal cost. Mixed bundling (that is, offering both separate sales and bundles) could play an interesting role in this case. Suppose the firm were to set Pb = 7, and P1 = P2 = 4.75, selling either bundles or separate goods. Now traders A and B would elect to buy only good 1, traders E and F would buy only good 2, and traders C and D would buy the bundle. The firm’s profits would rise from 12 under pure bundling to 13 under mixed bundling, and consumers’ surplus would rise from zero under pure bundling to 3 under mixed bundling. So mixed bundling could offer a clear Pareto improvement–both firms and customers are better off under mixed bundling.

Somewhere out there one of you is scanning the table to see how I cooked the data to get this result. The answer is not hard to find–there is a perfect negative correlation between the reservation values for the two goods, i.e., traders with high reservation values for one good have low reservation values for the other. It is easy to see that if we rearrange the reservation values to get perfect positive correlation, bundling can’t improve profits. But what if the two reservation values were more random? I propose a thought experiment: What if I have two dice, one red and one green. I have the students come up one at a time and roll the dice. The red one is their reservation price for good 1, and the green one is their reservation value for good 2. Each observation is recorded in Table 2. For example, student A might have rolled a 5 on the red dice and a 2 on the green one, while B rolled 3 and 4. How would the table fill in as more and more students rolled the dice? Someone familiar with statistics will say that each cell in the table is equally probable, so the cells will tend to fill in evenly, which is true. So let’s assume that the table does in fact fill in evenly, and to keep matters simple, we further suppose that there are 36 students, one in each cell. TABLE 2 6 5 B

4 3

A

2 1 8r2/r16

1

2

3

4

5

6

Now if the goods were sold separately, the optimal prices would again be either $3 or $4, but since demands are six times higher than in our first example, the total profits from separate sales would be $144 - FC1 - FC2. But what if the goods were bundled? What would the bundle demand curve look like, and what would be the optimal bundle price? If each trader’s reservation price for the bundle is the sum of his/her individual reservation prices for the two goods, then there is one trader who values the bundle at $12, two who value it al $11, and so forth. Figure 1 shows the resulting bundle demand curve, and a little arithmetic reveals that the optimal bundle price is $6, and profits would be $156 - FC1 - FC2. (All of the traders who would buy the bundle are in or above the shaded cells in Table 2.) So even with a uniform random distribution of reservation values, bundling profits can exceed profits from separate sales. In our first example from Table 1, the firm expropriated the entire consumers’ surplus when it bundled the products, but in the present case, there is actually a consumers’ surplus of $56, since one trader would have been willing to pay $12 for the bundle, and two would have paid $11, and so on. In fact, if the firm engaged in separate sales and charged $4 for each good, the consumers’ surplus would only total $36, so in this case, bundling would actually increase the consumers’ surplus. (Though if the firm charged $3 each under separate sales, the consumers’ surplus would be $72, and bundling would reduce the consumers’ surplus. Note that the firm would charge $4 rather than $3 with even the tiniest

positive marginal cost for either good.)

Figure 1. A discrete bundle demand curve.

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