The practice of so-called “self-preferencing” has come to embody the zeitgeist of competition policy for digital markets, as legislative initiatives are undertaken in jurisdictions around the world that to seek, in various ways, to constrain large digital platforms from granting favorable treatment to their own goods and services. The core concern cited by policymakers is that gatekeepers may abuse their dual role—as both an intermediary and a trader operating on the platform—to pursue a strategy of biased intermediation that entrenches their power in core markets (defensive leveraging) and extends it to associated markets (offensive leveraging).
In addition to active interventions by lawmakers, self-preferencing has also emerged as a new theory of harm before European courts and antitrust authorities. Should antitrust enforcers be allowed to pursue such a theory, they would gain significant leeway to bypass the legal standards and evidentiary burdens traditionally required to prove that a given business practice is anticompetitive. This should be of particular concern, given the broad range of practices and types of exclusionary behavior that could be characterized as self-preferencing—only some of which may, in some specific contexts, include exploitative or anticompetitive elements.
In a new working paper for the International Center for Law & Economics (ICLE), I provide an overview of the relevant traditional antitrust theories of harm, as well as the emerging case law, to analyze whether and to what extent self-preferencing should be considered a new standalone offense under EU competition law. The experience to date in European case law suggests that courts have been able to address platforms’ self-preferencing practices under existing theories of harm, and that it may not be sufficiently novel to constitute a standalone theory of harm.
European Case Law on Self-Preferencing
Practices by digital platforms that might be deemed self-preferencing first garnered significant attention from European competition enforcers with the European Commission’s Google Shoppinginvestigation, which examined whether the search engine’s results pages positioned and displayed its own comparison-shopping service more favorably than the websites of rival comparison-shopping services. According to the Commission’s findings, Google’s conduct fell outside the scope of competition on the merits and could have the effect of extending Google’s dominant position in the national markets for general Internet search into adjacent national markets for comparison-shopping services, in addition to protecting Google’s dominance in its core search market.
Rather than explicitly posit that self-preferencing (a term the Commission did not use) constituted a new theory of harm, the Google Shopping ruling described the conduct as belonging to the well-known category of “leveraging.” The Commission therefore did not need to propagate a new legal test, as it held that the conduct fell under a well-established form of abuse. The case did, however, spur debate over whether the legal tests the Commission did apply effectively imposed on Google a principle of equal treatment of rival comparison-shopping services.
But it should be noted that conduct similar to that alleged in the Google Shopping investigation actually came before the High Court of England and Wales several months earlier, this time in a dispute between Google and Streetmap. At issue in that case was favorable search results Google granted to its own maps, rather than to competing online maps. The UK Court held, however, that the complaint should have been appropriately characterized as an allegation of discrimination; it further found that Google’s conduct did not constitute anticompetitive foreclosure. A similar result was reached in May 2020 by the Amsterdam Court of Appeal in the Funda case.
Conversely, in June 2021, the French Competition Authority (AdlC) followed the European Commission into investigating Google’s practices in the digital-advertising sector. Like the Commission, the AdlC did not explicitly refer to self-preferencing, instead describing the conduct as “favoring.”
Given this background and the proliferation of approaches taken by courts and enforcers to address similar conduct, there was significant anticipation for the judgment that the European General Court would ultimately render in the appeal of the Google Shopping ruling. While the General Court upheld the Commission’s decision, it framed self-preferencing as a discriminatory abuse. Further, the Court outlined four criteria that differentiated Google’s self-preferencing from competition on the merits.
Specifically, the Court highlighted the “universal vocation” of Google’s search engine—that it is open to all users and designed to index results containing any possible content; the “superdominant” position that Google holds in the market for general Internet search; the high barriers to entry in the market for general search services; and what the Court deemed Google’s “abnormal” conduct—behaving in a way that defied expectations, given a search engine’s business model, and that changed after the company launched its comparison-shopping service.
While the precise contours of what the Court might consider discriminatory abuse aren’t yet clear, the decision’s listed criteria appear to be narrow in scope. This stands at odds with the much broader application of self-preferencing as a standalone abuse, both by the European Commission itself and by some national competition authorities (NCAs).
Indeed, just a few weeks after the General Court’s ruling, the Italian Competition Authority (AGCM) handed down a mammoth fine against Amazon over preferential treatment granted to third-party sellers who use the company’s own logistics and delivery services. Rather than reflecting the qualified set of criteria laid out by the General Court, the Italian decision was clearly inspired by the Commission’s approach in Google Shopping. Where the Commission described self-preferencing as a new form of leveraging abuse, AGCM characterized Amazon’s practices as tying.
Self-preferencing has also been raised as a potential abuse in the context of data and information practices. In November 2020, the European Commission sent Amazon a statement of objections detailing its preliminary view that the company had infringed antitrust rules by making systematic use of non-public business data, gathered from independent retailers who sell on Amazon’s marketplace, to advantage the company’s own retail business. (Amazon responded with a set of commitments currently under review by the Commission.)
Both the Commission and the U.K. Competition and Markets Authority have lodged similar allegations against Facebook over data gathered from advertisers and then used to compete with those advertisers in markets in which Facebook is active, such as classified ads. The Commission’s antitrust proceeding against Apple over its App Store rules likewise highlights concerns that the company may use its platform position to obtain valuable data about the activities and offers of its competitors, while competing developers may be denied access to important customer data.
These enforcement actions brought by NCAs and the Commission appear at odds with the more bounded criteria set out by the General Court in Google Shopping, and raise tremendous uncertainty regarding the scope and definition of the alleged new theory of harm.
Self-Preferencing, Platform Neutrality, and the Limits of Antitrust Law
The growing tendency to invoke self-preferencing as a standalone theory of antitrust harm could serve two significant goals for European competition enforcers. As mentioned earlier, it offers a convenient shortcut that could allow enforcers to skip the legal standards and evidentiary burdens traditionally required to prove anticompetitive behavior. Moreover, it can function, in practice, as a means to impose a neutrality regime on digital gatekeepers, with the aims of both ensuring a level playing field among competitors and neutralizing the potential conflicts of interests implicated by dual-mode intermediation.
The dual roles performed by some platforms continue to fuel the never-ending debate over vertical integration, as well as related concerns that, by giving preferential treatment to its own products and services, an integrated provider may leverage its dominance in one market to related markets. From this perspective, self-preferencing is an inevitable byproduct of the emergence of ecosystems.
However, as the Australian Competition and Consumer Commission has recognized, self-preferencing conduct is “often benign.” Furthermore, the total value generated by an ecosystem depends on the activities of independent complementors. Those activities are not completely under the platform’s control, although the platform is required to establish and maintain the governance structures regulating access to and interactions around that ecosystem.
Given this reality, a complete ban on self-preferencing may call the very existence of ecosystems into question, challenging their design and monetization strategies. Preferential treatment can take many different forms with many different potential effects, all stemming from platforms’ many different business models. This counsels for a differentiated, case-by-case, and effects-based approach to assessing the alleged competitive harms of self-preferencing.
Antitrust law does not impose on platforms a general duty to ensure neutrality by sharing their competitive advantages with rivals. Moreover, possessing a competitive advantage does not automatically equal an anticompetitive effect. As the European Court of Justice recently stated in Servizio Elettrico Nazionale, competition law is not intended to protect the competitive structure of the market, but rather to protect consumer welfare. Accordingly, not every exclusionary effect is detrimental to competition. Distinctions must be drawn between foreclosure and anticompetitive foreclosure, as only the latter may be penalized under antitrust.
In current discussions of technology markets, few words are heard more often than “platform.” Initial public offering (IPO) prospectuses use “platform” to describe a service that is bound to dominate a digital market. Antitrust regulators use “platform” to describe a service that dominates a digital market or threatens to do so. In either case, “platform” denotes power over price. For investors, that implies exceptional profits; for regulators, that implies competitive harm.
Conventional wisdom holds that platforms enjoy high market shares, protected by high barriers to entry, which yield high returns. This simple logic drives the market’s attribution of dramatically high valuations to dramatically unprofitable businesses and regulators’ eagerness to intervene in digital platform markets characterized by declining prices, increased convenience, and expanded variety, often at zero out-of-pocket cost. In both cases, “burning cash” today is understood as the path to market dominance and the ability to extract a premium from consumers in the future.
This logic is usually wrong.
The Overlooked Basics of Platform Economics
To appreciate this perhaps surprising point, it is necessary to go back to the increasingly overlooked basics of platform economics. A platform can refer to any service that matches two complementary populations. A search engine matches advertisers with consumers, an online music service matches performers and labels with listeners, and a food-delivery service matches restaurants with home diners. A platform benefits everyone by facilitating transactions that otherwise might never have occurred.
A platform’s economic value derives from its ability to lower transaction costs by funneling a multitude of individual transactions into a single convenient hub. In pursuit of minimum costs and maximum gains, users on one side of the platform will tend to favor the most popular platforms that offer the largest number of users on the other side of the platform. (There are partial exceptions to this rule when users value being matched with certain typesof other users, rather than just with more users.) These “network effects” mean that any successful platform market will always converge toward a handful of winners. This positive feedback effect drives investors’ exuberance and regulators’ concerns.
There is a critical point, however, that often seems to be overlooked.
Market share only translates into market power to the extent the incumbent is protected against entry within some reasonable time horizon. If Warren Buffett’s moat requirement is not met, market share is immaterial. If XYZ.com owns 100% of the online pet food delivery market but entry costs are asymptotic, then market power is negligible. There is another important limiting principle. In platform markets, the depth of the moat depends not only on competitors’ costs to enter the market, but users’ costs in switching from one platform to another or alternating between multiple platforms. If users can easily hop across platforms, then market share cannot confer market power given the continuous threat of user defection. Put differently: churn limits power over price.
Contrary to natural intuitions, this is why a platform market consisting of only a few leaders can still be intensely competitive, keeping prices low (down to and including $0) even if the number of competitors is low. It is often asserted, however, that users are typically locked into the dominant platform and therefore face high switching costs, which therefore implicitly satisfies the moat requirement. If that is true, then the “high churn” scenario is a theoretical curiosity and a leading platform’s high market share would be a reliable signal of market power. In fact, this common assumption likely describes the atypical case.
AWS and the Cloud Data-Storage Market
This point can be illustrated by considering the cloud data-storage market. This would appear to be an easy case where high switching costs (due to the difficulty in shifting data among storage providers) insulate the market leader against entry threats. Yet the real world does not conform to these expectations.
While Amazon Web Services pioneered the $100 billion-plus market and is still the clear market leader, it now faces vigorous competition from Microsoft Azure, Google Cloud, and other data-storage or other cloud-related services. This may reflect the fact that the data storage market is far from saturated, so new users are up for grabs and existing customers can mitigate lock-in by diversifying across multiple storage providers. Or it may reflect the fact that the market’s structure is fluid as a function of technological changes, enabling entry at formerly bundled portions of the cloud data-services package. While it is not always technologically feasible, the cloud storage market suggests that users’ resistance to platform capture can represent a competitive opportunity for entrants to challenge dominant vendors on price, quality, and innovation parameters.
The Surprising Instability of Platform Dominance
The instability of leadership positions in the cloud storage market is not exceptional.
Consider a handful of once-powerful platforms that were rapidly dethroned once challenged by a more efficient or innovative rival: Yahoo and Alta Vista in the search-engine market (displaced by Google); Netscape in the browser market (displaced by Microsoft’s Internet Explorer, then displaced by Google Chrome); Nokia and then BlackBerry in the mobile wireless-device market (displaced by Apple and Samsung); and Friendster in the social-networking market (displaced by Myspace, then displaced by Facebook). AOL was once thought to be indomitable; now it is mostly referenced as a vintage email address. The list could go on.
Overestimating platform dominance—or more precisely, assuming platform dominance without close factual inquiry—matters because it promotes overestimates of market power. That, in turn, cultivates both market and regulatory bubbles: investors inflate stock valuations while regulators inflate the risk of competitive harm.
DoorDash and the Food-Delivery Services Market
Consider the DoorDash IPO that launched in early December 2020. The market’s current approximately $50 billion valuation of a business that has been almost consistently unprofitable implicitly assumes that DoorDash will maintain and expand its position as the largest U.S. food-delivery platform, which will then yield power over price and exceptional returns for investors.
There are reasons to be skeptical. Even where DoorDash captures and holds a dominant market share in certain metropolitan areas, it still faces actual and potential competition from other food-delivery services, in-house delivery services (especially by well-resourced national chains), and grocery and other delivery services already offered by regional and national providers. There is already evidence of these expected responses to DoorDash’s perceived high delivery fees, a classic illustration of the disciplinary effect of competitive forces on the pricing choices of an apparently dominant market leader. These “supply-side” constraints imposed by competitors are compounded by “demand-side” constraints imposed by customers. Home diners incur no more than minimal costs when swiping across food-delivery icons on a smartphone interface, casting doubt that high market share is likely to translate in this context into market power.
Deliveroo and the Costs of Regulatory Autopilot
Just as the stock market can suffer from delusions of platform grandeur, so too some competition regulators appear to have fallen prey to the same malady.
A vivid illustration is provided by the 2019 decision by the Competition Markets Authority (CMA), the British competition regulator, to challenge Amazon’s purchase of a 16% stake in Deliveroo, one of three major competitors in the British food-delivery services market. This intervention provides perhaps the clearest illustration of policy action based on a reflexive assumption of market power, even in the face of little to no indication that the predicate conditions for that assumption could plausibly be satisfied.
Far from being a dominant platform, Deliveroo was (and is) a money-losing venture lagging behind money-losing Just Eat (now Just Eat Takeaway) and Uber Eats in the U.K. food-delivery services market. Even Amazon had previously closed its own food-delivery service in the U.K. due to lack of profitability. Despite Deliveroo’s distressed economic circumstances and the implausibility of any market power arising from Amazon’s investment, the CMA nonetheless elected to pursue the fullest level of investigation. While the transaction was ultimately approved in August 2020, this intervention imposed a 15-month delay and associated costs in connection with an investment that almost certainly bolstered competition in a concentrated market by funding a firm reportedly at risk of insolvency. This is the equivalent of a competition regulator driving in reverse.
There seems to be an increasingly common assumption in commentary by the press, policymakers, and even some scholars that apparently dominant platforms usually face little competition and can set, at will, the terms of exchange. For investors, this is a reason to buy; for regulators, this is a reason to intervene. This assumption is sometimes realized, and, in that case, antitrust intervention is appropriate whenever there is reasonable evidence that market power is being secured through something other than “competition on the merits.” However, several conditions must be met to support the market power assumption without which any such inquiry would be imprudent. Contrary to conventional wisdom, the economics and history of platform markets suggest that those conditions are infrequently satisfied.
Without closer scrutiny, reflexively equating market share with market power is prone to lead both investors and regulators astray.
[TOTM: The following is part of a digital symposium by TOTM guests and authors on the law, economics, and policy of the antitrust lawsuits against Google. The entire series of posts is available here.]
The U.S. Department of Justice’s (DOJ) antitrust case against Google, which was filed in October 2020, will be a tough slog. It is an alleged monopolization (Sherman Act, Sec. 2) case; and monopolization cases are always a tough slog.
In this brief essay I will lay out some of the issues in the case and raise an intriguing possibility.
What is the case about?
The case is about exclusivity and exclusion in the distribution of search engine services; that Google paid substantial sums to Apple and to the manufacturers of Android-based mobile phones and tablets and also to wireless carriers and web-browser proprietors—in essence, to distributors—to install the Google search engine as the exclusive pre-set (installed), default search program. The suit alleges that Google thereby made it more difficult for other search-engine providers (e.g., Bing; DuckDuckGo) to obtain distribution for their search-engine services and thus to attract search-engine users and to sell the online advertising that is associated with search-engine use and that provides the revenue to support the search “platform” in this “two-sided market” context.
Exclusion can be seen as a form of “raising rivals’ costs.” Equivalently, exclusion can be seen as a form of non-price predation. Under either interpretation, the exclusionary action impedes competition.
It’s important to note that these allegations are different from those that motivated an investigation by the Federal Trade Commission (which the FTC dropped in 2013) and the cases by the European Union against Google. Those cases focused on alleged self-preferencing; that Google was unduly favoring its own products and services (e.g., travel services) in its delivery of search results to users of its search engine. In those cases, the impairment of competition (arguably) happens with respect to those competing products and services, not with respect to search itself.
What is the relevant market?
For a monopolization allegation to have any meaning, there needs to be the exercise of market power (which would have adverse consequences for the buyers of the product). And in turn, that exercise of market power needs to occur in a relevant market: one in which market power can be exercised.
Here is one of the important places where the DOJ’s case is likely to turn into a slog: the delineation of a relevant market for alleged monopolization cases remains as a largely unsolved problem for antitrust economics. This is in sharp contrast to the issue of delineating relevant markets for the antitrust analysis of proposed mergers. For this latter category, the paradigm of the “hypothetical monopolist” and the possibility that this hypothetical monopolist could prospectively impose a “small but significant non-transitory increase in price” (SSNIP) has carried the day for the purposes of market delineation.
But no such paradigm exists for monopolization cases, in which the usual allegation is that the defendant already possesses market power and has used the exclusionary actions to buttress that market power. To see the difficulties, it is useful to recall the basic monopoly diagram from Microeconomics 101. A monopolist faces a negatively sloped demand curve for its product (at higher prices, less is bought; at lower prices, more is bought) and sets a profit-maximizing price at the level of output where its marginal revenue (MR) equals its marginal costs (MC). Its price is thereby higher than an otherwise similar competitive industry’s price for that product (to the detriment of buyers) and the monopolist earns higher profits than would the competitive industry.
But unless there are reliable benchmarks as to what the competitive price and profits would otherwise be, any information as to the defendant’s price and profits has little value with respect to whether the defendant already has market power. Also, a claim that a firm does not have market power because it faces rivals and thus isn’t able profitably to raise its price from its current level (because it would lose too many sales to those rivals) similarly has no value. Recall the monopolist from Micro 101. It doesn’t set a higher price than the one where MR=MC, because it would thereby lose too many sales to other sellers of other things.
Thus, any firm—regardless of whether it truly has market power (like the Micro 101 monopolist) or is just another competitor in a sea of competitors—should have already set its price at its profit-maximizing level and should find it unprofitable to raise its price from that level. And thus the claim, “Look at all of the firms that I compete with! I don’t have market power!” similarly has no informational value.
Let us now bring this problem back to the Google monopolization allegation: What is the relevant market? In the first instance, it has to be “the provision of answers to user search queries.” After all, this is the “space” in which the exclusion occurred. But there are categories of search: e.g., search for products/services, versus more general information searches (“What is the current time in Delaware?” “Who was the 21st President of the United States?”). Do those separate categories themselves constitute relevant markets?
Further, what would the exercise of market power in a (delineated relevant) market look like? Higher-than-competitive prices for advertising that targets search-results recipients is one obvious answer (but see below). In addition, because this is a two-sided market, the competitive “price” (or prices) might involve payments by the search engine to the search users (in return for their exposure to the lucrative attached advertising). And product quality might exhibit less variety than a competitive market would provide; and/or the monopolistic average level of quality would be lower than in a competitive market: e.g., more abuse of user data, and/or deterioration of the delivered information itself, via more self-preferencing by the search engine and more advertising-driven preferencing of results.
In addition, a natural focus for a relevant market is the advertising that accompanies the search results. But now we are at the heart of the difficulty of delineating a relevant market in a monopolization context. If the relevant market is “advertising on search engine results pages,” it seems highly likely that Google has market power. If the relevant market instead is all online U.S. advertising (of which Google’s revenue share accounted for 32% in 2019), then the case is weaker; and if the relevant market is all advertising in the United States (which is about twice the size of online advertising), the case is weaker still. Unless there is some competitive benchmark, there is no easy way to delineate the relevant market.
What exactly has Google been paying for, and why?
As many critics of the DOJ’s case have pointed out, it is extremely easy for users to switch their default search engine. If internet search were a normal good or service, this ease of switching would leave little room for the exercise of market power. But in that case, why is Google willing to pay $8-$12 billion annually for the exclusive default setting on Apple devices and large sums to the manufacturers of Android-based devices (and to wireless carriers and browser proprietors)? Why doesn’t Google instead run ads in prominent places that remind users how superior Google’s search results are and how easy it is for users (if they haven’t already done so) to switch to the Google search engine and make Google the user’s default choice?
Suppose that user inertia is important. Further suppose that users generally have difficulty in making comparisons with respect to the quality of delivered search results. If this is true, then being the default search engine on Apple and Android-based devices and on other distribution vehicles would be valuable. In this context, the inertia of their customers is a valuable “asset” of the distributors that the distributors may not be able to take advantage of, but that Google can (by providing search services and selling advertising). The question of whether Google’s taking advantage of this user inertia means that Google exercises market power takes us back to the issue of delineating the relevant market.
There is a further wrinkle to all of this. It is a well-understood concept in antitrust economics that an incumbent monopolist will be willing to pay more for the exclusive use of an essential input than a challenger would pay for access to the input. The basic idea is straightforward. By maintaining exclusive use of the input, the incumbent monopolist preserves its (large) monopoly profits. If the challenger enters, the incumbent will then earn only its share of the (much lower, more competitive) duopoly profits. Similarly, the challenger can expect only the lower duopoly profits. Accordingly, the incumbent should be willing to outbid (and thereby exclude) the challenger and preserve the incumbent’s exclusive use of the input, so as to protect those monopoly profits.
To bring this to the Google monopolization context, if Google does possess market power in some aspect of search—say, because online search-linked advertising is a relevant market—then Google will be willing to outbid Microsoft (which owns Bing) for the “asset” of default access to Apple’s (inertial) device owners. That Microsoft is a large and profitable company and could afford to match (or exceed) Google’s payments to Apple is irrelevant. If the duopoly profits for online search-linked advertising would be substantially lower than Google’s current profits, then Microsoft would not find it worthwhile to try to outbid Google for that default access asset.
Alternatively, this scenario could be wholly consistent with an absence of market power. If search users (who can easily switch) consider Bing to be a lower-quality search service, then large payments by Microsoft to outbid Google for those exclusive default rights would be largely wasted, since the “acquired” default search users would quickly switch to Google (unless Microsoft provided additional incentives for the users not to switch).
But this alternative scenario returns us to the original puzzle: Why is Google making such large payments to the distributors for those exclusive default rights?
An intriguing possibility
Consider the following possibility. Suppose that Google was paying that $8-$12 billion annually to Apple in return for the understanding that Apple would not develop its own search engine for Apple’s device users. This possibility was not raised in the DOJ’s complaint, nor is it raised in the subsequent suits by the state attorneys general.
But let’s explore the implications by going to an extreme. Suppose that Google and Apple had a formal agreement that—in return for the $8-$12 billion per year—Apple would not develop its own search engine. In this event, this agreement not to compete would likely be seen as a violation of Section 1 of the Sherman Act (which does not require a market delineation exercise) and Apple would join Google as a co-conspirator. The case would take on the flavor of the FTC’s prosecution of “pay-for-delay” agreements between the manufacturers of patented pharmaceuticals and the generic drug manufacturers that challenge those patents and then receive payments from the former in return for dropping the patent challenge and delaying the entry of the generic substitute.
As of this writing, there is no evidence of such an agreement and it seems quite unlikely that there would have been a formal agreement. But the DOJ will be able to engage in discovery and take depositions. It will be interesting to find out what the relevant executives at Google—and at Apple—thought was being achieved by those payments.
What would be a suitable remedy/relief?
The DOJ’s complaint is vague with respect to the remedy that it seeks. This is unsurprising. The DOJ may well want to wait to see how the case develops and then amend its complaint.
However, even if Google’s actions have constituted monopolization, it is difficult to conceive of a suitable and effective remedy. One apparently straightforward remedy would be to require simply that Google not be able to purchase exclusivity with respect to the pre-set default settings. In essence, the device manufacturers and others would always be able to sell parallel default rights to other search engines: on the basis, say, that the default rights for some categories of customers—or even a percentage of general customers (randomly selected)—could be sold to other search-engine providers.
But now the Gilbert-Newbery insight comes back into play. Suppose that a device manufacturer knows (or believes) that Google will pay much more if—even in the absence of any exclusivity agreement—Google ends up being the pre-set search engine for all (or nearly all) of the manufacturer’s device sales, as compared with what the manufacturer would receive if those default rights were sold to multiple search-engine providers (including, but not solely, Google). Can that manufacturer (recall that the distributors are not defendants in the case) be prevented from making this sale to Google and thus (de facto) continuing Google’s exclusivity?
Even a requirement that Google not be allowed to make any payment to the distributors for a default position may not improve the competitive environment. Google may be able to find other ways of making indirect payments to distributors in return for attaining default rights, e.g., by offering them lower rates on their online advertising.
Further, if the ultimate goal is an efficient outcome in search, it is unclear how far restrictions on Google’s bidding behavior should go. If Google were forbidden from purchasing any default installation rights for its search engine, would (inert) consumers be better off? Similarly, if a distributor were to decide independently that its customers were better served by installing the Google search engine as the default, would that not be allowed? But if it is allowed, how could one be sure that Google wasn’t indirectly paying for this “independent” decision (e.g., through favorable advertising rates)?
It’s important to remember that this (alleged) monopolization is different from the Standard Oil case of 1911 or even the (landline) AT&T case of 1984. In those cases, there were physical assets that could be separated and spun off to separate companies. For Google, physical assets aren’t important. Although it is conceivable that some of Google’s intellectual property—such as Gmail, YouTube, or Android—could be spun off to separate companies, doing so would do little to cure the (arguably) fundamental problem of the inert device users.
In addition, if there were an agreement between Google and Apple for the latter not to develop a search engine, then large fines for both parties would surely be warranted. But what next? Apple can’t be forced to develop a search engine. This differentiates such an arrangement from the “pay-for-delay” arrangements for pharmaceuticals, where the generic manufacturers can readily produce a near-identical substitute for the patented drug and are otherwise eager to do so.
At the end of the day, forbidding Google from paying for exclusivity may well be worth trying as a remedy. But as the discussion above indicates, it is unlikely to be a panacea and is likely to require considerable monitoring for effective enforcement.
The DOJ’s case against Google will be a slog. There are unresolved issues—such as how to delineate a relevant market in a monopolization case—that will be central to the case. Even if the DOJ is successful in showing that Google violated Section 2 of the Sherman Act in monopolizing search and/or search-linked advertising, an effective remedy seems problematic. But there also remains the intriguing question of why Google was willing to pay such large sums for those exclusive default installation rights?
The developments in the case will surely be interesting.
 The DOJ’s suit was joined by 11 states. More states subsequently filed two separate antitrust lawsuits against Google in December.
 There is also a related argument: That Google thereby gained greater volume, which allowed it to learn more about its search users and their behavior, and which thereby allowed it to provide better answers to users (and thus a higher-quality offering to its users) and better-targeted (higher-value) advertising to its advertisers. Conversely, Google’s search-engine rivals were deprived of that volume, with the mirror-image negative consequences for the rivals. This is just another version of the standard “learning-by-doing” and the related “learning curve” (or “experience curve”) concepts that have been well understood in economics for decades.
 See, for example, Steven C. Salop and David T. Scheffman, “Raising Rivals’ Costs: Recent Advances in the Theory of Industrial Structure,” American Economic Review, Vol. 73, No. 2 (May 1983), pp. 267-271; and Thomas G. Krattenmaker and Steven C. Salop, “Anticompetitive Exclusion: Raising Rivals’ Costs To Achieve Power Over Price,” Yale Law Journal, Vol. 96, No. 2 (December 1986), pp. 209-293.
 For a discussion, see Richard J. Gilbert, “The U.S. Federal Trade Commission Investigation of Google Search,” in John E. Kwoka, Jr., and Lawrence J. White, eds. The Antitrust Revolution: Economics, Competition, and Policy, 7th edn. Oxford University Press, 2019, pp. 489-513.
 For a more complete version of the argument that follows, see Lawrence J. White, “Market Power and Market Definition in Monopolization Cases: A Paradigm Is Missing,” in Wayne D. Collins, ed., Issues in Competition Law and Policy. American Bar Association, 2008, pp. 913-924.
 The forgetting of this important point is often termed “the cellophane fallacy”, since this is what the U.S. Supreme Court did in a 1956 antitrust case in which the DOJ alleged that du Pont had monopolized the cellophane market (and du Pont, in its defense claimed that the relevant market was much wider: all flexible wrapping materials); see U.S. v. du Pont, 351 U.S. 377 (1956). For an argument that profit data and other indicia argued for cellophane as the relevant market, see George W. Stocking and Willard F. Mueller, “The Cellophane Case and the New Competition,” American Economic Review, Vol. 45, No. 1 (March 1955), pp. 29-63.
 In the context of differentiated services, one would expect prices (positive or negative) to vary according to the quality of the service that is offered. It is worth noting that Bing offers “rewards” to frequent searchers; see https://www.microsoft.com/en-us/bing/defaults-rewards. It is unclear whether this pricing structure of payment to Bing’s customers represents what a more competitive framework in search might yield, or whether the payment just indicates that search users consider Bing to be a lower-quality service.
 As an additional consequence of the impairment of competition in this type of search market, there might be less technological improvement in the search process itself – to the detriment of users.
 And, again, if we return to the du Pont cellophane case: Was the relevant market cellophane? Or all flexible wrapping materials?
 This insight is formalized in Richard J. Gilbert and David M.G. Newbery, “Preemptive Patenting and the Persistence of Monopoly,” American Economic Review, Vol. 72, No. 3 (June 1982), pp. 514-526.
 To my knowledge, Randal C. Picker was the first to suggest this possibility; see https://www.competitionpolicyinternational.com/a-first-look-at-u-s-v-google/. Whether Apple would be interested in trying to develop its own search engine – given the fiasco a decade ago when Apple tried to develop its own maps app to replace the Google maps app – is an open question. In addition, the Gilbert-Newbery insight applies here as well: Apple would be less inclined to invest the substantial resources that would be needed to develop a search engine when it is thereby in a duopoly market. But Google might be willing to pay “insurance” to reinforce any doubts that Apple might have.
 The U.S. Supreme Court, in FTC v. Actavis, 570 U.S. 136 (2013), decided that such agreements could be anti-competitive and should be judged under the “rule of reason”. For a discussion of the case and its implications, see, for example, Joseph Farrell and Mark Chicu, “Pharmaceutical Patents and Pay-for-Delay: Actavis (2013),” in John E. Kwoka, Jr., and Lawrence J. White, eds. The Antitrust Revolution: Economics, Competition, and Policy, 7th edn. Oxford University Press, 2019, pp. 331-353.
 This is an example of the insight that vertical arrangements – in this case combined with the Gilbert-Newbery effect – can be a way for dominant firms to raise rivals’ costs. See, for example, John Asker and Heski Bar-Isaac. 2014. “Raising Retailers’ Profits: On Vertical Practices and the Exclusion of Rivals.” American Economic Review, Vol. 104, No. 2 (February 2014), pp. 672-686.
 And, again, for the reasons discussed above, Apple might not be eager to make the effort.
[TOTM: The following is part of a digital symposium by TOTM guests and authors on the law, economics, and policy of the antitrust lawsuits against Google. The entire series of posts is available here.]
It is my endeavor to scrutinize the questionable assessment articulated against default settings in the U.S. Justice Department’s lawsuit against Google. Default, I will argue, is no antitrust fault. Default in the Google case drastically differs from default referred to in the Microsoft case. In Part I, I argue the comparison is odious. Furthermore, in Part II, it will be argued that the implicit prohibition of default settings echoes, as per listings, the explicit prohibition of self-preferencing in search results. Both aspects – default’s implicit prohibition and self-preferencing’s explicit prohibition – are the two legs of a novel and integrated theory of sanctioning corporate favoritism. The coming to the fore of such theory goes against the very essence of the capitalist grain. In Part III, I note the attempt to instill some corporate selflessness is at odds with competition on the merits and the spirit of fundamental economic freedoms.
When Default is No-Fault
The recent complaint filed by the DOJ and 11 state attorneys general claims that Google has abused its dominant position on the search-engine market through several ways, notably making Google the default search engine both in Google Chrome web browser for Android OS and in Apple’s Safari web browser for iOS. Undoubtedly, default setting confers a noticeable advantage for users’ attraction – it is sought and enforced on purpose. Nevertheless, the default setting confers an unassailable position unless the product remains competitive. Furthermore, the default setting can hardly be proven to be anticompetitive in the Google case. Indeed, the DOJ puts considerable effort in the complaint to make the Google case resemble the 20-year-old Microsoft case. Former Federal Trade Commission Chairman William Kovacic commented: “I suppose the Justice Department is telling the court, ‘You do not have to be scared of this case. You’ve done it before […] This is Microsoft part 2.”
However, irrespective of the merits of the Microsoft case two decades ago, the Google default setting case bears minimal resemblance to the Microsoft default setting of Internet Explorer. First, as opposed to the Microsoft case, where default by Microsoft meant pre-installed software (i.e., Internet Explorer), the Google case does not relate to the pre-installment of the Google search engine (since it is just a webpage) but a simple setting. This technical difference is significant: although “sticky”, the default setting, can be outwitted with just one click. It is dissimilar to the default setting, which can only be circumvented by uninstalling software, searching and installing a new one. Moreover, with no certainty that consumers will effectively use Google search engine, default settings come with advertising revenue sharing agreements between Google and device manufacturers, mobile phone carriers, competing browsers and Apple. These mutually beneficial deals represent a significant cost with no technical exclusivity . In other words, the antitrust treatment of a tie-in between software and hardware in the Microsoft case cannot be convincingly extrapolated to the default setting of a “webware” as relevant in the Google case.
Second, the Google case cannot legitimately resort to extrapolating the Microsoft case for another technical (and commercial) aspect: the Microsoft case was a classic tie-in case where the tied product (Internet Explorer) was tied into the main product (Windows). As a traditional tie-in scenario, the tied product (Internet Explorer) was “consistently offered, promoted, and distributed […] as a stand-alone product separate from, and not as a component of, Windows […]”. In contrast, Google has never sold Google Chrome or Android OS. It offered both Google Chrome and Android OS for free, necessarily conditional to Google search engine as default setting. The very fact that Google Chrome or Android OS have never been “stand-alone” products, to use the Microsoft case’s language, together with the absence of software installation, dramatically differentiates the features pertaining to the Google case from those of the Microsoft case. The Google case is not a traditional tie-in case: it is a case against default setting when both products (the primary and related products) are given for free, are not saleable, are neither tangible nor intangible goods but only popular digital services due to significant innovativeness and ease of usage. The Microsoft “complaint challenge[d] only Microsoft’s concerted attempts to maintain its monopoly in operating systems and to achieve dominance in other markets, not by innovation and other competition on the merits, but by tie-ins.” Quite noticeably, the Google case does not mention tie-in ,as per Google Chrome or Android OS.
The complaint only refers to tie-ins concerning Google’s app being pre-installed on Android OS. Therefore, concerning Google’s dominance on the search engine market, it cannot be said that the default setting of Google search in Android OS entails tie-in. Google search engine has no distribution channel (since it is only a website) other than through downstream partnerships (i.e., vertical deals with Android device manufacturers). To sanction default setting on downstream trading partners is tantamount to refusing legitimate means to secure distribution channels of proprietary and zero-priced services. To further this detrimental logic, it would mean that Apple may no longer offer its own apps in its own iPhones or, in offline markets, that a retailer may no longer offer its own (default) bags at the till since it excludes rivals’ sale bags. Products and services naked of any adjacent products and markets (i.e., an iPhone or Android OS with no app or a shopkeeper with no bundled services) would dramatically increase consumers’ search costs while destroying innovators’ essential distribution channels for innovative business models and providing few departures from the status quo as long as consumers will continue to value default products.
Default should not be an antitrust fault: the Google case makes default settings a new line of antitrust injury absent tie-ins. In conclusion, as a free webware, Google search’s default setting cannot be compared to default installation in the Microsoft case since minimal consumer stickiness entails (almost) no switching costs. As free software, Google’s default apps cannot be compared to Microsoft case either since pre-installation is the sine qua non condition of the highly valued services (Android OS) voluntarily chosen by device manufacturers. Default settings on downstream products can only be reasonably considered as antitrust injury when the dominant company is erroneously treated as a de facto essential facility – something evidenced by the similar prohibition of self-preferencing.
When Self-Preference is No Defense
Self-preferencing is to listings what the default setting is to operating systems. They both are ways to market one’s own products (i.e., alternative to marketing toward end-consumers). While default setting may come with both free products and financial payments (Android OS and advertising revenue sharing), self-preferencing may come with foregone advertising revenues in order to promote one’s own products. Both sides can be apprehended as the two sides of the same coin: generating the ad-funded main product’s distribution channels – Google’s search engine. Both are complex advertising channels since both venues favor one’s own products regarding consumers’ attention. Absent both channels, the payments made for default agreements and the foregone advertising revenues in self-preferencing one’s own products would morph into marketing and advertising expenses of Google search engine toward end-consumers.
The DOJ complaint lambasts that “Google’s monopoly in general search services also has given the company extraordinary power as the gateway to the internet, which uses to promote its own web content and increase its profits.” This blame was at the core of the European Commission’s Google Shopping decision in 2017: it essentially holds Google accountable for having, because of its ad-funded business model, promoted its own advertising products and demoted organic links in search results. According to which Google’s search results are no longer relevant and listed on the sole motivation of advertising revenue
But this argument is circular: should these search results become irrelevant, Google’s core business would become less attractive, thereby generating less advertising revenue. This self-inflicted inefficiency would deprive Google of valuable advertising streams and incentivize end-consumers to switch to search engine rivals such as Bing, DuckDuckGo, Amazon (product search), etc. Therefore, an ad-funded company such as Google needs to reasonably arbitrage between advertising objectives and the efficiency of its core activities (here, zero-priced organic search services). To downplay (the ad-funded) self-referencing in order to foster (the zero-priced) organic search quality would disregard the two-sidedness of the Google platform: it would harm advertisers and the viability of the ad-funded business model without providing consumers and innovation protection it aims at providing. The problematic and undesirable concept of “search neutrality” would mean algorithmic micro-management for the sake of an “objective” listing considered acceptable only to the eyes of the regulator.
Furthermore, self-preferencing entails a sort of positive discrimination toward one’s own products. If discrimination has traditionally been antitrust lines of injuries, self-preferencing is an “epithet” outside antitrust remits for good reasons. Indeed, should self-interested (i.e., rationally minded) companies and individuals are legally complied to self-demote their own products and services? If only big (how big?) companies are legally complied to self-demote their products and services, to what extent will exempted companies involved in self-preferencing become liable to do so?
Indeed, many uncertainties, legal and economic ones, may spawn from the emerging prohibition of self-preferencing. More fundamentally, antitrust liability may clash with basic corporate governance principles where self-interestedness allows self-preferencing and command such self-promotion. The limits of antitrust have been reached when two sets of legal regimes, both applicable to companies, suggest contradictory commercial conducts. To what extent may Amazon no longer promote its own series on Amazon Video in a similar manner Netflix does? To what extent can Microsoft no longer promote Bing’s search engine to compete with Google’s search engine effectively? To what extent Uber may no longer promote UberEATS in order to compete with delivery services effectively? Not only the business of business is doing business, but also it is its duty for which shareholders may hold managers to account.
The self is moral; there is a corporate morality of business self-interest. In other words, corporate selflessness runs counter to business ethics since corporate self-interest yields the self’s rivalrous positioning within a competitive order. Absent a corporate self-interest, self-sacrifice may generate value destruction for the sake of some unjustified and ungrounded claims. The emerging prohibition of self-preferencing, similar to the established ban on the default setting on one’s own products into other proprietary products, materializes the corporate self’s losing. Both directions coalesce to instill the legally embedded duty of self-sacrifice for the competitor’s welfare instead of the traditional consumer welfare and the dynamics of innovation, which never unleash absent appropriabilities. In conclusion, to expect firms, however big or small, to act irrespective of their identities (i.e., corporate selflessness) would constitute an antitrust error and would be at odds with capitalism.
Toward an Integrated Theory of Disintegrating Favoritism
The Google lawsuit primarily blames Google for default settings enforced via several deals. The lawsuit also makes self-preferencing anticompetitive conduct under antitrust rules. These two charges are novel and dubious in their remits. They nevertheless represent a fundamental catalyst for the development of a new and problematic unified antitrust theory prohibiting favoritism: companies may no longer favor their products and services, both vertically and horizontally, irrespective of consumer benefits, irrespective of superior efficiency arguments, and irrespective of dynamic capabilities enhancement. Indeed, via an unreasonably expanded vision of leveraging, antitrust enforcement is furtively banning a company to favor its own products and services based on greater consumer choice as a substitute to consumer welfare, based on the protection of the opportunities of rivals to innovate and compete as a substitute to the essence of competition and innovation, and based on limiting the outreach and size of companies as a substitute to the capabilities and efficiencies of these companies. Leveraging becomes suspicious and corporate self-favoritism under accusation. The Google lawsuit materializes this impractical trend, which further enshrines the precautionary approach to antitrust enforcement.
 Jessica Guynn, Google Justice Department antitrust lawsuit explained: this is what it means for you. USA Today, October 20, 2020.
 The software (Internet Explorer) was tied in the hardware (Windows PC).
U.S. v Google LLC, Case A:20, October 20, 2020, 3 (referring to default settings as “especially sticky” with respect to consumers’ willingness to change).
 While the DOJ affirms that “being the preset default general search engine is particularly valuable because consumers rarely change the preset default”, it nevertheless provides no evidence of the breadth of such consumer stickiness. To be sure, search engine’s default status does not necessarily lead to usage as evidenced by the case of South Korea. In this country, despite Google’s preset default settings, the search engine Naver remains dominant in the national search market with over 70% of market shares. The rivalry exerted by Naver on Google demonstrates that limits of consumer stickiness to default settings. See Alesia Krush, Google vs. Naver: Why Can’t Google Dominate Search in Korea? Link-Assistant.Com, available at: https://www.link-assistant.com/blog/google-vs-naver-why-cant-google-dominate-search-in-korea/ . As dominant search engine in Korea, Naver is subject to antitrust investigations with similar leveraging practices as Google in other countries, see Shin Ji-hye, FTC sets up special to probe Naver, Google, The Korea Herald, November 19, 2019, available at : http://www.koreaherald.com/view.php?ud=20191119000798 ; Kim Byung-wook, Complaint against Google to be filed with FTC, The Investor, December 14, 2020, available at : https://www.theinvestor.co.kr/view.php?ud=20201123000984 (reporting a complaint by Naver and other Korean IT companies against Google’s 30% commission policy on Google Play Store’s apps).
 For instance, the then complaint acknowledged that “Microsoft designed Windows 98 so that removal of Internet Explorer by OEMs or end users is operationally more difficult than it was in Windows 95”, in U.S. v Microsoft Corp., Civil Action No 98-1232, May 18, 1998, para.20.
 The DOJ complaint itself quotes “one search competitor” who is reported to have noted consumer stickiness “despite the simplicity of changing a default setting to enable customer choice […]” (para.47). Therefore, default setting for search engine is remarkably simple to bypass but consumers do not often do so, either due to satisfaction with Google search engine and/or due to search and opportunity costs.
 Such outcome would frustrate traditional ways of offering computers and mobile devices as acknowledged by the DOJ itself in the Google complaint: “new computers and new mobile devices generally come with a number of preinstalled apps and out-of-the-box setting. […] Each of these search access points can and almost always does have a preset default general search engine”, at para. 41. Also, it appears that present default general search engine is common commercial practices since, as the DOJ complaint itself notes when discussing Google’s rivals (Microsoft’s Bing and Amazon’s Fire OS), “Amazon preinstalled its own proprietary apps and agreed to make Microsoft’s Bing the preset default general search engine”, in para.130. The complaint fails to identify alternative search engines which are not preset defaults, thus implicitly recognizing this practice as a widespread practice.
 To use Vesterdof’s language, see Bo Vesterdorf, Theories of Self-Preferencing and Duty to Deal – Two Sides of the Same Coin, Competition Law & Policy Debate 1(1) 4, (2015). See also Nicolas Petit, Theories of Self-Preferencing under Article 102 TFEU: A Reply to Bo Vesterdorf, 5-7 (2015).
 Case 39740 Google Search (Shopping). Here the foreclosure effects of self-preferencing are only speculated: « the Commission is not required to prove that the Conduct has the actual effect of decreasing traffic to competing comparison shopping services and increasing traffic to Google’s comparison-shopping service. Rather, it is sufficient for the Commission to demonstrate that the Conduct is capable of having, or likely to have, such effects.” (para.601 of the Decision). See P. Ibáñez Colomo, Indispensability and Abuse of Dominance: From Commercial Solvents to Slovak Telekom and Google Shopping, 10 Journal of European Competition Law & Practice 532 (2019); Aurelien Portuese, When Demotion is Competition: Algorithmic Antitrust Illustrated, Concurrences, no 2, May 2018, 25-37; Aurelien Portuese, Fine is Only One Click Away, Symposium on the Google Shopping Decision, Case Note, 3 Competition and Regulatory Law Review, (2017).
 For a general discussion on law and economics of self-preferencing, see Michael A. Salinger, Self-Preferencing, Global Antitrust Institute Report, 329-368 (2020).
Pablo Ibanez Colomo, Self-Preferencing: Yet Another Epithet in Need of Limiting Principles, 43 World Competition (2020) (concluding that self-preferencing is « misleading as a legal category »).
 See, for instances, Pedro Caro de Sousa, What Shall We Do About Self-Preferencing? Competition Policy International, June 2020.
 Milton Friedman, The Social Responsibility of Business is to Increase Its Profits, New York Times, September 13, 1970. This echoes Adam Smith’s famous statement that « It is not from the benevolence of the butcher, the brewer, or the baker, that we expect our dinner, but from their regard for their own self-interest » from the 1776 Wealth of Nations. In Ayn Rand’s philosophy, the only alternative to rational self-interest is to sacrifice one’s own interests either for fellowmen (altruism) or for supernatural forces (mysticism). See Ayn Rand, The Objectivist Ethics, in The Virtue of Selfishness, Signet, (1964).
 Aurelien Portuese, European Competition Enforcement and the Digital Economy : The Birthplace of Precautionary Antitrust, Global Antitrust Institute’s Report on the Digital Economy, 597-651.
What is a search engine? This might seem like an innocuous question, but it lies at the heart of the US Department of Justice and state Attorneys’ General antitrust complaint against Google, as well as the European Commission’s Google Search and Android decisions. It is also central to a report published by the UK’s Competition & Markets Authority (“CMA”). To varying degrees, all of these proceedings are premised on the assumption that Google enjoys a monopoly/dominant position over online search. But things are not quite this simple.
Despite years of competition decisions and policy discussions, there are still many unanswered questions concerning the operation of search markets. For example, it is still unclear exactly which services compete against Google Search, and how this might evolve in the near future. Likewise, there has only been limited scholarly discussion as to how a search engine monopoly would exert its market power. In other words, what does a restriction of output look like on a search platform — particularly on the user side?
Answering these questions will be essential if authorities wish to successfully bring an antitrust suit against Google for conduct involving search. Indeed, as things stand, these uncertainties greatly complicate efforts (i) to rigorously define the relevant market(s) in which Google Search operates, (ii) to identify potential anticompetitive effects, and (iii) to apply the quantitative tools that usually underpin antitrust proceedings.
In short, as explained below, antitrust authorities and other plaintiffs have their work cut out if they are to prevail in court.
Consumers demand information
For a start, identifying the competitive constraints faced by Google presents authorities and plaintiffs with an important challenge.
Even proponents of antitrust intervention recognize that the market for search is complex. For instance, the DOJ and state AGs argue that Google dominates a narrow market for “general search services” — as opposed to specialized search services, content sites, social networks, and online marketplaces, etc. The EU Commission reached the same conclusion in its Google Search decision. Finally, commenting on the CMA’s online advertising report, Fiona Scott Morton and David Dinielli argue that:
General search is a relevant market […]
In this way, an individual specialized search engine competes with a small fraction of what the Google search engine does, because a user could employ either for one specific type of search. The CMA concludes that, from the consumer standpoint, a specialized search engine exerts only a limited competitive constraint on Google.
(Note that the CMA stressed that it did not perform a market definition exercise: “We have not carried out a formal market definition assessment, but have instead looked at competitive constraints across the sector…”).
In other words, the above critics recognize that search engines are merely tools that can serve multiple functions, and that competitive constraints may be different for some of these. But this has wider ramifications that policymakers have so far overlooked.
When quizzed about his involvement with Neuralink (a company working on implantable brain–machine interfaces), Elon Musk famously argued that human beings already share a near-symbiotic relationship with machines (a point already made by others):
The purpose of Neuralink [is] to create a high-bandwidth interface to the brain such that we can be symbiotic with AI. […] Because we have a bandwidth problem. You just can’t communicate through your fingers. It’s just too slow.
Commentators were quick to spot this implications of this technology for the search industry:
Imagine a world when humans would no longer require a device to search for answers on the internet, you just have to think of something and you get the answer straight in your head from the internet.
As things stand, this example still belongs to the realm of sci-fi. But it neatly illustrates a critical feature of the search industry.
Search engines are just the latest iteration (but certainly not the last) of technology that enables human beings to access specific pieces of information more rapidly. Before the advent of online search, consumers used phone directories, paper maps, encyclopedias, and other tools to find the information they were looking for. They would read newspapers and watch television to know the weather forecast. They went to public libraries to undertake research projects (some still do), etc.
And, in some respects, the search engine is already obsolete for many of these uses. For instance, virtual assistants like Alexa, Siri, Cortana and Google’s own Google Assistant offering can perform many functions that were previously the preserve of search engines: checking the weather, finding addresses and asking for directions, looking up recipes, answering general knowledge questions, finding goods online, etc. Granted, these virtual assistants partly rely on existing search engines to complete tasks. However, Google is much less dominant in this space, and search engines are not the sole source on which virtual assistants rely to generate results. Amazon’s Alexa provides a fitting example (here and here).
Along similar lines, it has been widely reported that 60% of online shoppers start their search on Amazon, while only 26% opt for Google Search. In other words, Amazon’s ability to rapidly show users the product they are looking for somewhat alleviates the need for a general search engine. In turn, this certainly constrains Google’s behavior to some extent. And much of the same applies to other websites that provide a specific type of content (think of Twitter, LinkedIn, Tripadvisor, Booking.com, etc.)
Finally, it is also revealing that the most common searches on Google are, in all likelihood, made to reach other websites — a function for which competition is literally endless:
The upshot is that Google Search and other search engines perform a bundle of functions. Most of these can be done via alternative means, and this will increasingly be the case as technology continues to advance.
This is all the more important given that the vast majority of search engine revenue derives from roughly 30 percent of search terms (notably those that are linked to product searches). The remaining search terms are effectively a loss leader. And these profitable searches also happen to be those where competition from alternative means is, in all likelihood, the strongest (this includes competition from online retail platforms, and online travel agents like Booking.com or Kayak, but also from referral sites, direct marketing, and offline sources). In turn, this undermines US plaintiffs’ claims that Google faces little competition from rivals like Amazon, because they don’t compete for the entirety of Google’s search results (in other words, Google might face strong competition for the most valuable ads):
108. […] This market share understates Google’s market power in search advertising because many search-advertising competitors offer only specialized search ads and thus compete with Google only in a limited portion of the market.
Critics might mistakenly take the above for an argument that Google has no market power because competition is “just a click away”. But the point is more subtle, and has important implications as far as market definition is concerned.
Authorities should not define the search market by arguing that no other rival is quite like Google (or one if its rivals) — as the DOJ and state AGs did in their complaint:
90. Other search tools, platforms, and sources of information are not reasonable substitutes for general search services. Offline and online resources, such as books, publisher websites, social media platforms, and specialized search providers such as Amazon, Expedia, or Yelp, do not offer consumers the same breadth of information or convenience. These resources are not “one-stop shops” and cannot respond to all types of consumer queries, particularly navigational queries. Few consumers would find alternative sources a suitable substitute for general search services. Thus, there are no reasonable substitutes for general search services, and a general search service monopolist would be able to maintain quality below the level that would prevail in a competitive market.
(162) For the reasons set out below, there is, however, limited demand side substitutability between general search services and other online services. […]
(163) There is limited substitutability between general search services and content sites. […]
(166) There is also limited substitutability between general search services and specialised search services. […]
(178) There is also limited substitutability between general search services and social networking sites.
Ad absurdum, if consumers suddenly decided to access information via other means, Google could be the only firm to provide general search results and yet have absolutely no market power.
Take the example of Yahoo: Despite arguably remaining the most successful “web directory”, it likely lost any market power that it had when Google launched a superior — and significantly more successful — type of search engine. Google Search may not have provided a complete, literal directory of the web (as did Yahoo), but it offered users faster access to the information they wanted. In short, the Yahoo example shows that being unique is not equivalent to having market power. Accordingly, any market definition exercise that merely focuses on the idiosyncrasies of firms is likely to overstate their actual market power.
Given what precedes, the question that authorities should ask is thus whether Google Search (or another search engine) performs so many unique functions that it may be in a position to restrict output. So far, no one appears to have convincingly answered this question.
What does market power look like in search?
Similar uncertainties surround the question of how a search engine might restrict output, especially on the user side of the search market. Accordingly, authorities will struggle to produce evidence (i) the Google has market power, especially on the user side of the market, and (ii) that its behavior has anticompetitive effects.
Consider the following:
The SSNIP test (which is the standard method of defining markets in antitrust proceedings) is inapplicable to the consumer side of search platforms. Indeed, it is simply impossible to apply a hypothetical 10% price increase to goods that are given away for free.
This raises a deeper question: how would a search engine exercise its market power?
For a start, it seems unlikely that it would start charging fees to its users. For instance, empirical research pertaining to the magazine industry (also an ad-based two-sided market) suggests that increased concentration does not lead to higher magazine prices. Minjae Song notably finds that:
Taking the advantage of having structural models for both sides, I calculate equilibrium outcomes for hypothetical ownership structures. Results show that when the market becomes more concentrated, copy prices do not necessarily increase as magazines try to attract more readers.
It is also far from certain that a dominant search engine would necessarily increase the amount of adverts it displays. To the contrary, market power on the advertising side of the platform might lead search engines to decrease the number of advertising slots that are available (i.e. reducing advertising output), thus showing less adverts to users.
Finally, it is not obvious that market power would lead search engines to significantly degrade their product (as this could ultimately hurt ad revenue). For example, empirical research by Avi Goldfarb and Catherine Tucker suggests that there is some limit to the type of adverts that search engines could profitably impose upon consumers. They notably find that ads that are both obtrusive and targeted decrease subsequent purchases:
Ads that match both website content and are obtrusive do worse at increasing purchase intent than ads that do only one or the other. This failure appears to be related to privacy concerns: the negative effect of combining targeting with obtrusiveness is strongest for people who refuse to give their income and for categories where privacy matters most.
The preceding paragraphs find some support in the theoretical literature on two-sided markets literature, which suggests that competition on the user side of search engines is likely to be particularly intense and beneficial to consumers (because they are more likely to single-home than advertisers, and because each additional user creates a positive externality on the advertising side of the market). For instance, Jean Charles Rochet and Jean Tirole find that:
The single-homing side receives a large share of the joint surplus, while the multi-homing one receives a small share.
Here, if it wishes to interact with an agent on the single-homing side, the multi-homing side has no choice but to deal with that agent’s chosen platform. Thus, platforms have monopoly power over providing access to their single-homing customers for the multi-homing side. This monopoly power naturally leads to high prices being charged to the multi-homing side, and there will be too few agents on this side being served from a social point of view (Proposition 4). By contrast, platforms do have to compete for the single-homing agents, and high profits generated from the multi-homing side are to a large extent passed on to the single-homing side in the form of low prices (or even zero prices).
All of this is not to suggest that Google Search has no market power, or that monopoly is necessarily less problematic in the search engine industry than in other markets.
Instead, the argument is that analyzing competition on the user side of search platforms is unlikely to yield dispositive evidence of market power or anticompetitive effects. This is because market power is hard to measure on this side of the market, and because even a monopoly platform might not significantly restrict user output.
That might explain why the DOJ and state AGs analysis of anticompetitive effects is so limited. Take the following paragraph (provided without further supporting evidence):
167. By restricting competition in general search services, Google’s conduct has harmed consumers by reducing the quality of general search services (including dimensions such as privacy, data protection, and use of consumer data), lessening choice in general search services, and impeding innovation.
Given these inherent difficulties, antitrust investigators would do better to focus on the side of those platforms where mainstream IO tools are much easier to apply and where a dominant search engine would likely restrict output: the advertising market. Not only is it the market where search engines are most likely to exert their market power (thus creating a deadweight loss), but — because it involves monetary transactions — this side of the market lends itself to the application of traditional antitrust tools.
Looking at the right side of the market
Finally, and unfortunately for Google’s critics, available evidence suggests that its position on the (online) advertising market might not meet the requirements necessary to bring a monopolization case (at least in the US).
For a start, online advertising appears to exhibit the prima facie signs of a competitive market. As Geoffrey Manne, Sam Bowman and Eric Fruits have argued:
Over the past decade, the price of advertising has fallen steadily while output has risen. Spending on digital advertising in the US grew from $26 billion in 2010 to nearly $130 billion in 2019, an average increase of 20% a year. Over the same period the Producer Price Index for Internet advertising sales declined by nearly 40%. The rising spending in the face of falling prices indicates the number of ads bought and sold increased by approximately 27% a year. Since 2000, advertising spending has been falling as a share of GDP, with online advertising growing as a share of that. The combination of increasing quantity, decreasing cost, and increasing total revenues are consistent with a growing and increasingly competitive market.
Second, empirical research suggests that the market might need to be widened to include offline advertising. For instance, Avi Goldfarb and Catherine Tucker show that there can be important substitution effects between online and offline advertising channels:
Using data on the advertising prices paid by lawyers for 139 Google search terms in 195 locations, we exploit a natural experiment in “ambulance-chaser” regulations across states. When lawyers cannot contact clients by mail, advertising prices per click for search engine advertisements are 5%–7% higher. Therefore, online advertising substitutes for offline advertising.
Of course, a careful examination of the advertising industry could also lead authorities to define a narrower relevant market. For example, the DOJ and state AG complaint argued that Google dominated the “search advertising” market:
97. Search advertising in the United States is a relevant antitrust market. The search advertising market consists of all types of ads generated in response to online search queries, including general search text ads (offered by general search engines such as Google and Bing) […] and other, specialized search ads (offered by general search engines and specialized search providers such as Amazon, Expedia, or Yelp).
Likewise, the European Commission concluded that Google dominated the market for “online search advertising” in the AdSense case (though the full decision has not yet been made public). Finally, the CMA’s online platforms report found that display and search advertising belonged to separate markets.
But these are empirical questions that could dispositively be answered by applying traditional antitrust tools, such as the SSNIP test. And yet, there is no indication that the authorities behind the US complaint undertook this type of empirical analysis (and until its AdSense decision is made public, it is not clear that the EU Commission did so either). Accordingly, there is no guarantee that US courts will go along with the DOJ and state AGs’ findings.
In short, it is far from certain that Google currently enjoys an advertising monopoly, especially if the market is defined more broadly than that for “search advertising” (or the even narrower market for “General Search Text Advertising”).
The preceding paragraphs have argued that a successful antitrust case against Google is anything but a foregone conclusion. In order to successfully bring a suit, authorities would notably need to figure out just what market it is that Google is monopolizing. In turn, that would require a finer understanding of what competition, and monopoly, look like in the search and advertising industries.
Six months may not seem a great deal of time in the general business world, but in the Internet space it’s a lifetime as new websites, tools and features are introduced every day that change where and how users get and share information. The rise of Facebook is a great example: the social networking platform that didn’t exist in early 2004 filed paperwork last month to launch what is expected to be one of the largest IPOs in history. To put it in perspective, Ford Motor went public nearly forty years after it was founded.
This incredible pace of innovation is seen throughout the Internet, and since Google’s public disclosure of its Federal Trade Commission antitrust investigation just this past June, there have been many dynamic changes to the landscape of the Internet Search market. And as the needs and expectations of consumers continue to evolve, Internet search must adapt – and quickly – to shifting demand.
One noteworthy development was the release of Siri by Apple, which was introduced to the world in late 2011 on the most recent iPhone. Today, many consider it the best voice recognition application in history, but its potential really lies in its ability revolutionize the way we search the Internet, answer questions and consume information. As Eric Jackson of Forbes noted, in the future it may even be a “Google killer.”
Of this we can be certain: Siri is the latest (though certainly not the last) game changer in Internet search, and it has certainly begun to change people’s expectations about both the process and the results of search. The search box, once needed to connect us with information on the web, is dead or dying. In its place is an application that feels intuitive and personal. Siri has become a near-indispensible entry point, and search engines are merely the back-end. And while a new feature, Siri’s expansion is inevitable. In fact, it is rumored that Apple is diligently working on Siri-enabled televisions – an entirely new market for the company.
The past six months have also brought the convergence of social media and search engines, as first Bing and more recently Google have incorporated information from a social network into their search results. Again we see technology adapting and responding to the once-unimagined way individuals find, analyze and accept information. Instead of relying on traditional, mechanical search results and the opinions of strangers, this new convergence allows users to find data and receive input directly from people in their social world, offering results curated by friends and associates.
As Social networks become more integrated with the Internet at large, reviews from trusted contacts will continue to change the way that users search for information. As David Worlock put it in a post titled, “Decline and Fall of the Google Empire,” “Facebook and its successors become the consumer research environment. Search by asking someone you know, or at least have a connection with, and get recommendations and references which take you right to the place where you buy.” The addition of social data to search results lends a layer of novel, trusted data to users’ results. Search Engine Land’s Danny Sullivan agreed writing, “The new system will perhaps make life much easier for some people, allowing them to find both privately shared content from friends and family plus material from across the web through a single search, rather than having to search twice using two different systems.”It only makes sense, from a competition perspective, that Google followed suit and recently merged its social and search data in an effort to make search more relevant and personal.
Inevitably, a host of Google’s critics and competitors has cried foul. In fact, as Google has adapted and evolved from its original template to offer users not only links to URLs but also maps, flight information, product pages, videos and now social media inputs, it has met with a curious resistance at every turn. And, indeed, judged against a world in which Internet search is limited to “ten blue links,” with actual content – answers to questions – residing outside of Google’s purview, it has significantly expanded its reach and brought itself (and its large user base) into direct competition with a host of new entities.
But the worldview that judges these adaptations as unwarranted extensions of Google’s platform from its initial baseline, itself merely a function of the relatively limited technology and nascent consumer demand present at the firm’s inception, is dangerously crabbed. By challenging Google’s evolution as “leveraging its dominance” into new and distinct markets, rather than celebrating its efforts (and those of Apple, Bing and Facebook, for that matter) to offer richer, more-responsive and varied forms of information, this view denies the essential reality of technological evolution and exalts outdated technology and outmoded business practices.
And while Google’s forays into the protected realms of others’ business models grab the headlines, it is also feverishly working to adapt its core technology, as well, most recently (and ambitiously) with its “Google Knowledge Graph” project, aimed squarely at transforming the algorithmic guts of its core search function into something more intelligent and refined than its current word-based index permits. In concept, this is, in fact, no different than its efforts to bootstrap social network data into its current structure: Both are efforts to improve on the mechanical process built on Google’s PageRank technology to offer more relevant search results informed by a better understanding of the mercurial way people actually think.
Expanding consumer welfare requires that Google, like its ever-shifting roster of competitors, must be able to keep up with the pace and the unanticipated twists and turns of innovation. As The Economist recently said, “Kodak was the Google of its day,” and the analogy is decidedly apt. Without the drive or ability to evolve and reinvent itself, its products and its business model, Kodak has fallen to its competitors in the marketplace. Once revered as a powerhouse of technological innovation for most of its history, Kodak now faces bankruptcy because it failed to adapt to its own success. Having invented the digital camera, Kodak radically altered the very definition of its market. But by hewing to its own metaphorical ten blue links – traditional film – instead of understanding that consumer photography had come to mean something dramatically different, Kodak consigned itself to failure.
Like Kodak and every other technology company before it, Google must be willing and able to adapt and evolve; just as for Lewis Carol’s Red Queen, “here it takes all the running you can do, to keep in the same place.” Neither consumers nor firms are well served by regulatory policy informed by nostalgia. Even more so than Kodak, Google confronts a near-constantly evolving marketplace and fierce competition from unanticipated quarters. If regulators force it to stop running, the market will simply pass it by.
Last week I linked to my new study on “search bias.” At the time I noted I would have a few blog posts in the coming days discussing the study. This is the first of those posts.
A lot of the frenzy around Google turns on “search bias,” that is, instances when Google references its own links or its own content (such as Google Maps or YouTube) in its search results pages. Some search engine critics condemn such references as inherently suspect and almost by their very nature harmful to consumers. Yet these allegations suffer from several crucial shortcomings. As I’ve noted (see, e.g., here and here), these naked assertions of discrimination are insufficient to state a cognizable antitrust claim, divorced as they are from consumer welfare analysis. Indeed, such “discrimination” (some would call it “vertical integration”) has a well-recognized propensity to yield either pro-competitive or competitively neutral outcomes, rather than concrete consumer welfare losses. Moreover, because search engines exist in an incredibly dynamic environment, marked by constant innovation and fierce competition, we would expect different engines, utilizing different algorithms and appealing to different consumer preferences, to emerge. So when search engines engage in product differentiation of this sort, there is no reason to be immediately suspicious of these business decisions.
No reason to be immediately suspicious – but there could, conceivably, be a problem. If there is, we would want to see empirical evidence of it—of both the existence of bias, as well as the consumer harm emanating from it. But one of the most notable features of this debate is the striking lack of empirical data. Surprisingly little research has been done in this area, despite frequent assertions that own-content bias is commonly practiced and poses a significant threat to consumers (see, e.g., here).
My paper is an attempt to rectify this. In the paper, I investigate the available data to determine whether and to what extent own-content bias actually occurs, by analyzing and replicating a study by Ben Edelman and Ben Lockwood (E&L) and conducting my own study of a larger, randomized set of search queries.
In this post I discuss my analysis and critique of E&L; in future posts I’ll present my own replication of their study, as well as the results of my larger study of 1,000 random search queries. Finally, I’ll analyze whether any of these findings support anticompetitive foreclosure theories or are otherwise sufficient to warrant antitrust intervention.
E&L “investigate . . . [w]hether search engines’ algorithmic results favor their own services, and if so, which search engines do most, to what extent, and in what substantive areas.” Their approach is to measure the difference in how frequently search engines refer to their own content relative to how often their rivals do so.
One note at the outset: While this approach provides useful descriptive facts about the differences between how search engines link to their own content, it does little to inform antitrust analysis because Edelman and Lockwood begin with the rather odd claim that competition among differentiated search engines for consumers is a puzzle that creates an air of suspicion around the practice—in fact, they claim that “it is hard to see why results would vary . . . across search engines.” This assertion, of course, is simply absurd. Indeed, Danny Sullivan provides a nice critique of this claim:
It’s not hard to see why search engine result differ at all. Search engines each use their own “algorithm” to cull through the pages they’ve collected from across the web, to decide which pages to rank first . . . . Google has a different algorithm than Bing. In short, Google will have a different opinion than Bing. Opinions in the search world, as with the real world, don’t always agree.
Moreover, this assertion completely discounts both the vigorous competitive product differentiation that occurs in nearly all modern product markets as well as the obvious selection effects at work in own-content bias (Google users likely prefer Google content). This combination detaches E&L’s analysis from the consumer welfare perspective, and thus antitrust policy relevance, despite their claims to the contrary (and the fact that their results actually exhibit very little bias).
Several methodological issues undermine the policy relevance of E&L’s analysis. First, they hand select 32 search queries and execute searches on Google, Bing, Yahoo, AOL and Ask. This hand-selected non-random sample of 32 search queries cannot generate reliable inferences regarding the frequency of bias—a critical ingredient to understanding its potential competitive effects. Indeed, E&L acknowledge their queries are chosen precisely because they are likely to return results including Google content (e.g., email, images, maps, video, etc.).
E&L analyze the top three organic search results for each query on each engine. They find that 19% of all results across all five search engines refer to content affiliated with one of them. They focus upon the first three organic results and report that Google refers to its own content in the first (“top”) position about twice as often as Yahoo and Bing refer to Google content in this position. Additionally, they note that Yahoo is more biased than Google when evaluating the first page rather than only the first organic search result.
E&L also offer a strained attempt to deal with the possibility of competitive product differentiation among search engines. They examine differences among search engines’ references to their own content by “compar[ing] the frequency with which a search engine links to its own pages, relative to the frequency with which other search engines link to that search engine’s pages.” However, their evidence undermines claims that Google’s own-content bias is significant and systematic relative to its rivals’. In fact, almost zero evidence of statistically significant own-content bias by Google emerges.
E&L find, in general, Google is no more likely to refer to its own content than other search engines are to refer to that same content, and across the vast majority of their results, E&L find Google search results are not statistically more likely to refer to Google content than rivals’ search results.
The same data can be examined to test the likelihood that a search engine will refer to content affiliated with a rival search engine. Rather than exhibiting bias in favor of an engine’s own content, a “biased” search engine might conceivably be less likely to refer to content affiliated with its rivals. The table below reports the likelihood (in odds ratios) that a search engine’s content appears in a rival engine’s results.
The first two columns of the table demonstrate that both Google and Yahoo content are referred to in the first search result less frequently in rivals’ search results than in their own. Although Bing does not have enough data for robust analysis of results in the first position in E&L’s original analysis, the next three columns in Table 1 illustrate that all three engines’ (Google, Yahoo, and Bing) content appears less often on the first page of rivals’ search results than on their own search engine. However, only Yahoo’s results differ significantly from 1. As between Google and Bing, the results are notably similar.
E&L also make a limited attempt to consider the possibility that favorable placement of a search engine’s own content is a response to user preferences rather than anticompetitive motives. Using click-through data, they find, unsurprisingly, that the first search result tends to receive the most clicks (72%, on average). They then identify one search term for which they believe bias plays an important role in driving user traffic. For the search query “email,” Google ranks its own Gmail first and Yahoo Mail second; however, E&L also find that Gmail receives only 29% of clicks while Yahoo Mail receives 54%. E&L claim that this finding strongly indicates that Google is engaging in conduct that harms users and undermines their search experience.
However, from a competition analysis perspective, that inference is not sound. Indeed, the fact that the second-listed Yahoo Mail link received the majority of clicks demonstrates precisely that Yahoo was not competitively foreclosed from access to users. Taken collectively, E&L are not able to muster evidence of potential competitive foreclosure.
While it’s important to have an evidence-based discussion surrounding search engine results and their competitive implications, it’s also critical to recognize that bias alone is not evidence of competitive harm. Indeed, any identified bias must be evaluated in the appropriate antitrust economic context of competition and consumers, rather than individual competitors and websites. E&L’s analysis provides a useful starting point for describing how search engines differ in their referrals to their own content. But, taken at face value, their results actually demonstrate little or no evidence of bias—let alone that the little bias they do find is causing any consumer harm.
As I’ll discuss in coming posts, evidence gathered since E&L conducted their study further suggests their claims that bias is prevalent, inherently harmful, and sufficient to warrant antitrust intervention are overstated and misguided.
I have an op-ed up at Main Justice on FTC Chairman Leibowitz’ recent comment in response the a question about the FTC’s investigation of Google that the FTC is looking for a “pure Section Five case.” With Main Justice’s permission, the op-ed is re-printed here:
There’s been a lot of chatter around Washington about federal antitrust regulators’ interest in investigating Google, including stories about an apparent tug of war between agencies. But this interest may be motivated by expanding the agencies’ authority, rather than by any legitimate concern about Google’s behavior.
Last month in an interview with Global Competition Review, FTC Chairman Jon Leibowitz was asked whether the agency was “investigating the online search market” and he made this startling revelation:
“What I can say is that one of the commission’s priorities is to find a pure Section Five case under unfair methods of competition. Everyone acknowledges that Congress gave us much more jurisdiction than just antitrust. And I go back to this because at some point if and when, say, a large technology company acknowledges an investigation by the FTC, we can use both our unfair or deceptive acts or practice authority and our unfair methods of competition authority to investigate the same or similar unfair competitive behavior . . . . ”
“Section Five” refers to Section Five of the Federal Trade Commission Act. Exercising its antitrust authority, the FTC can directly enforce the Clayton Act but can enforce the Sherman Act only via the FTC Act, challenging as “unfair methods of competition” conduct that would otherwise violate the Sherman Act. Following Sherman Act jurisprudence, traditionally the FTC has interpreted Section Five to require demonstrable consumer harm to apply.
But more recently the commission—and especially Commissioners Rosch and Leibowitz—has been pursuing an interpretation of Section Five that would give the agency unprecedented and largely-unchecked authority. In particular, the definition of “unfair” competition wouldn’t be confined to the traditional measures–reduction in output or increase in price–but could expand to, well, just about whatever the agency deems improper.
Commissioner Rosch has claimed that Section Five could address conduct that has the effect of “reducing consumer choice”—an effect that a very few commentators support without requiring any evidence that the conduct actually reduces consumer welfare. Troublingly, “reducing consumer choice” seems to be a euphemism for “harm to competitors, not competition,” where the reduction in choice is the reduction of choice of competitors who may be put out of business by competitive behavior.
The U.S. has a long tradition of resisting enforcement based on harm to competitors without requiring a commensurate, strong showing of harm to consumers–an economically-sensible tradition aimed squarely at minimizing the likelihood of erroneous enforcement. The FTC’s invigorated interest in Section Five contemplates just such wrong-headed enforcement, however, to the inevitable detriment of the very consumers the agency is tasked with protecting.
In fact, the theoretical case against Google depends entirely on the ways it may have harmed certain competitors rather than on any evidence of actual harm to consumers (and in the face of ample evidence of significant consumer benefits).
Google has faced these claims at a number of levels. Many of the complaints against Google originate from Microsoft (Bing), Google’s largest competitor. Other sites have argued that that Google impairs the placement in its search results of certain competing websites, thereby reducing these sites’ ability easily to access Google’s users to advertise their competing products. Other sites that offer content like maps and videos complain that Google’s integration of these products into its search results has impaired their attractiveness to users.
In each of these cases, the problem is that the claimed harm to competitors does not demonstrably translate into harm to consumers.
For example, Google’s integration of maps into its search results unquestionably offers users an extremely helpful presentation of these results, particularly for users of mobile phones. That this integration might be harmful to MapQuest’s bottom line is not surprising—but nor is it a cause for concern if the harm flows from a strong consumer preference for Google’s improved, innovative product. The same is true of the other claims; harm to competitors is at least as consistent with pro-competitive as with anti-competitive conduct, and simply counting the number of firms offering competing choices to consumers is no way to infer actual consumer harm.
In the absence of evidence of Google’s harm to consumers, then, Leibowitz appears more interested in using Google as a tool in his and Rosch’s efforts to expand the FTC’s footprint. Advancing the commission’s “priority” to “find a pure Section Five case” seems to be more important than the question of whether Google is actually doing anything harmful.
When economic sense takes a back seat to political aggrandizement, we should worry about the effect on markets, innovation and the overall health of the economy.
Josh and I have just completed a white paper on search neutrality/search bias and the regulation of search engines. The paper is this year’s first in the ICLE Antitrust & Consumer Protection White Paper Series:
If Search Neutrality Is the Answer, What’s the Question?
Geoffrey A. Manne
(Lewis & Clark Law School and ICLE)
Joshua D. Wright
(George Mason Law School & Department of Economics and ICLE)
In this paper we evaluate both the economic and non-economic costs and benefits of search bias. In Part I we define search bias and search neutrality, terms that have taken on any number of meanings in the literature, and survey recent regulatory concerns surrounding search bias. In Part II we discuss the economics and technology of search. In Part III we evaluate the economic costs and benefits of search bias. We demonstrate that search bias is the product of the competitive process and link the search bias debate to the economic and empirical literature on vertical integration and the generally-efficient and pro-competitive incentives for a vertically integrated firm to discriminate in favor of its own content. Building upon this literature and its application to the search engine market, we conclude that neither an ex ante regulatory restriction on search engine bias nor the imposition of an antitrust duty to deal upon Google would benefit consumers. In Part V we evaluate the frequent claim that search engine bias causes other serious, though less tangible, social and cultural harms. As with the economic case for search neutrality, we find these non-economic justifications for restricting search engine bias unconvincing, and particularly susceptible to the well-known Nirvana Fallacy of comparing imperfect real world institutions with romanticized and unrealistic alternatives
Search bias is not a function of Google’s large share of overall searches. Rather, it is a feature of competition in the search engine market, as evidenced by the fact that its rivals also exercise editorial and algorithmic control over what information is provided to consumers and in what manner. Consumers rightly value competition between search engine providers on this margin; this fact alone suggests caution in regulating search bias at all, much less with an ex ante regulatory schema which defines the margins upon which search providers can compete. The strength of economic theory and evidence demonstrating that regulatory restrictions on vertical integration are costly to consumers, impede innovation, and discourage experimentation in a dynamic marketplace support the conclusion that neither regulation of search bias nor antitrust intervention can be justified on economic terms. Search neutrality advocates touting the non-economic virtues of their proposed regime should bear the burden of demonstrating that they exist beyond the Nirvana Fallacy of comparing an imperfect private actor to a perfect government decision-maker, and further, that any such benefits outweigh the economic costs.
The press release is here. Notably, the settlement obligates Google to continue product development and to license ITA software on commercially-reasonable terms, seemingly for 5 years. Frankly, I can’t imagine Google wouldn’t have done this anyway, so the settlement is not likely much of a binding constraint.
Also notable is what the settlement doesn’t seem to do: Impose any remedies intended to “correct” (or even acknowledge) so-called search neutrality issues. This has to be considered a huge victory for Google and for common sense. I’m sure Josh and I will have more to say once the pleadings and settlement are available. Later today or tomorrow we will post a paper we have just completed on the issue of search neutrality.
Unfortunately, this settlement doesn’t put the matter to rest, and we still have to see what the FTC has in store now. But for now, this is, as I said, a huge victory for Google . . . and for all of us who travel!