Archives For error costs

Behavioral Merger Remedies and the Hippocratic Principle

Thom Lambert —  22 April 2013

Last Thursday, the FTC settled a challenge to a company’s acquisitions of two key rivals. The two acquisitions, each of which failed to meet the threshold for required reporting under Hart Scott Rodino, occurred in 2005 and 2008. Because the acquired companies have been fully integrated into the acquirer and all distinct operations have been shut down, it was impossible for the Commission to “unscramble the eggs” by imposing a structural remedy that separates the companies or parts thereof. The Commission therefore opted for a behavioral remedy — i.e., a list of restrictions on how the combined company may operate its business in the future. The purported goal of the behavioral remedy is to enhance consumer welfare by restoring competition that was destroyed by the anticompetitive acquisitions.

Commissioner Josh Wright took exception to a couple of the restrictions in the consent order. In a separate statement, he set forth a principle reflecting his concerns that antitrust implementation be both evidence-based and sensitive to error costs. One hopes that the principle he articulated — a version of the Hippocratic maxim, “First, do no harm” — will influence future FTC decisions on behavioral remedies.

The defendant here was Graco, the leading manufacturer of “fast set equipment” (FSE) used by contractors to apply polyurethane foams and coatings. The two companies it purchased, Gusmer in 2005 and GlasCraft in 2008, were its two closest competitors in the North American market for FSE. Graco’s acquisitions of those companies eliminated almost all market competition. In addition, Graco allegedly coerced and threatened FSE distributors so that they would not carry competitors’ products, and it filed a questionable lawsuit against a rival, Gama/PMC, causing FSE distributors to grow leery of that supplier and drop its products.  These post-acquisition actions have helped cement Graco’s market power by denying its actual and potential rivals access to the distribution networks they need to effectively market their products.

In light of Graco’s post-acquisition conduct, the consent order agreed to Thursday prohibits Graco from threatening, coercing, or retaliating against distributors who carry its rivals’ products.  It also requires settlement of the lawsuit that was impairing Gama/PMC’s access to distributors, and it forbids Graco from bringing a similar suit in the future.

But the order then goes further.  It prohibits Graco from entering into exclusive dealing contracts with distributors, and it places limits on Graco’s freedom to give loyalty discounts to distributors.  (Specifically, it limits the purchase and inventory levels upon which Graco may condition distributor discounts.)

The problem, in Commissioner Wright’s view, was that there was no evidence that these forbidden activities – exclusive dealing arrangements and loyalty discounts – contributed to the absence of competition in the FSE market.  Because exclusive dealing arrangements and loyalty discounts are usually procompetitive, prohibiting their use by Graco in the absence of evidence that they are responsible for the lack of competition in the market or are likely to be used to effect anticompetitive harm rather than to achieve a procompetitive benefit is more likely to hurt than help consumers.

Wright notes (and the Commission acknowledges), for example, that the market for FSE is precisely the sort market in which exclusive dealing arrangements achieve the procompetitive benefit of avoiding “inter-brand free-riding.”  Manufacturers of FSE will enhance total sales if they train distributors on the proper use and various complicated features of FSE.  Consumers benefit from (and sales are increased by) such training, because the distributors pass along their learning to end-user purchasers.  But if one FSE manufacturer trains a distributor on how to use the equipment, other manufacturers whose product is carried by that distributor won’t need to do so themselves.  The possibility that they will “take a free-ride” on the manufacturer providing the training tends to dissuade all manufacturers from providing such training, to the detriment of consumers.  Exclusive dealing helps out by preventing free-riding and thereby assuring a manufacturer that it will receive the full benefit of its training efforts.  By banning exclusive dealing, then, the Commission’s consent order may cause a consumer injury, and there’s no reason to take that risk absent evidence that exclusive dealing has been used – or is likely to be used in the future – to create anticompetitive harm.  First, do no harm!

It is important to note that not including exclusive dealing and loyalty discounts on the list of behaviors prohibited by the consent order would not give Graco free rein to use those practices in a manner that causes anticompetitive foreclosure.  The Commission or a competitor could always challenge a future exclusive dealing arrangement or loyalty discount if there were evidence that the practice had caused anticompetitive harm.  The remainder of the Commission’s behavioral remedy assures that there will be a viable competitor – Gama/PMC – that is in a position to challenge any such conduct, and, in light of the consent order, the Commission and any reviewing court would take any future complaints quite seriously.  Doesn’t it make more sense, then, to limit the behavioral remedy to actions that have contributed to the anticompetitive situation at hand and not ban behaviors that may well inure to the benefit of consumers?  As Commissioner Wright put it:

A minimum safeguard to ensure [that] remedial provisions … restore competition rather than inadvertently reduce it is to require evidence that the type of conduct being restricted has been, or is likely to be, used anticompetitively to harm consumers.

I think Wright’s right on this one.

In antitrust, error costs, exclusive dealing, federal trade commission, mergers & acquisitions, regulation
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Commissioner Wright’s Speech at the ABA Antitrust Section’s Spring Meeting

Thom Lambert —  15 April 2013

Friday I discussed FTC Commissioner (and TOTM alumnus) Josh Wright’s speech at the Spring Meeting of the ABA’s Antitrust Section.  Wright’s speech, What’s Your Agenda?, is now available online.

As I mentioned, Commissioner Wright emphasized two matters on which he’d like to see FTC action.  First, he hopes the Commission will help fulfill the promise of Section 5 of the FTC Act by articulating an “Unfair Methods Policy Statement” that includes both “guiding principles for Section 5 theories of liability outside the scope of the Sherman and Clayton Acts” and “limiting principles confining the scope of unfair methods claims.”  Articulation of such principles would reduce the incidence of market power-enhancing conduct that could be difficult to pursue under the Sherman and Clayton Acts (the “guiding principles” would put firms on notice that such conduct is to be avoided), but they would also avoid chilling procompetitive conduct (the “limiting principles” would create zones of safety).  Giving guidance to business planners on what the FTC is likely to pursue — and what it’s not — would thereby enhance the effectiveness of the antitrust enterprise.

Commissioner Wright also stated his intention to utilize the FTC’s powers to pursue public restraints — i.e., output-limiting conduct authorized or required by governmental entities.  Wright explained:

An agency sensitive to efficiently executing its competition mission will look for low hanging fruit—in other words, it will identify and bring enforcement actions to prevent conduct that is clearly anticompetitive and thus bring immediate and certain benefits for consumers.

Public restraints upon trade represent precisely this type of increasingly rare low hanging fruit and, thus, should be a more central concern of U.S. competition policy. The legal hurdles facing enforcement against public restraints often render policy advocacy the primary weapon for the FTC in this area; and it is a weapon the FTC has wielded effectively and consistently over time. The FTC also has brought enforcement actions to challenge public restraints in recent years in appropriate cases. I support vigorous use of both tools….

I’m heartened by Commissioner Wright’s leadership on these matters and look forward to seeing how things develop at the Commission.

In antitrust, error costs, federal trade commission
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The market realities that undermine the antitrust case against Google

Geoffrey Manne —  26 November 2012

As the Google antitrust discussion heats up on its way toward some culmination at the FTC, I thought it would be helpful to address some of the major issues raised in the case by taking a look at what’s going on in the market(s) in which Google operates. To this end, I have penned a lengthy document — The Market Realities that Undermine the Antitrust Case Against Google — highlighting some of the most salient aspects of current market conditions and explaining how they fit into the putative antitrust case against Google.

While not dispositive, these “realities on the ground” do strongly challenge the logic and thus the relevance of many of the claims put forth by Google’s critics. The case against Google rests on certain assumptions about how the markets in which it operates function. But these are tech markets, constantly evolving and complex; most assumptions (and even “conclusions” based on data) are imperfect at best. In this case, the conventional wisdom with respect to Google’s alleged exclusionary conduct, the market in which it operates (and allegedly monopolizes), and the claimed market characteristics that operate to protect its position (among other things) should be questioned.

The reality is far more complex, and, properly understood, paints a picture that undermines the basic, essential elements of an antitrust case against the company.

The document first assesses the implications for Market Definition and Monopoly Power of these competitive realities. Of note:

  • Users use Google because they are looking for information — but there are lots of ways to do that, and “search” is not so distinct that a “search market” instead of, say, an “online information market” (or something similar) makes sense.
  • Google competes in the market for targeted eyeballs: a market aimed to offer up targeted ads to interested users. Search is important in this, but it is by no means alone, and there are myriad (and growing) other mechanisms to access consumers online.
  • To define the relevant market in terms of the particular mechanism that prevails to accomplish the matching of consumers and advertisers does not reflect the substitutability of other mechanisms that do the same thing but simply aren’t called “search.”
  • In a world where what prevails today won’t — not “might not,” but won’t — prevail tomorrow, it is the height of folly (and a serious threat to innovation and consumer welfare) to constrain the activities of firms competing in such an environment by pigeonholing the market.
  • In other words, in a proper market, Google looks significantly less dominant. More important, perhaps, as search itself evolves, and as Facebook, Amazon and others get into the search advertising game, Google’s strong position even in the overly narrow “search” market looks far from unassailable.

Next I address Anticompetitive Harm — how the legal standard for antitrust harm is undermined by a proper understanding of market conditions:

  • Antitrust law doesn’t require that Google or any other large firm make life easier for competitors or others seeking to access resources owned by these firms.
  • Advertisers are increasingly targeting not paid search but rather social media to reach their target audiences.
  • But even for those firms that get much or most of their traffic from “organic” search, this fact isn’t an inevitable relic of a natural condition over which only the alleged monopolist has control; it’s a business decision, and neither sensible policy nor antitrust law is set up to protect the failed or faulty competitor from himself.
  • Although it often goes unremarked, paid search’s biggest competitor is almost certainly organic search (and vice versa). Nextag may complain about spending money on paid ads when it prefers organic, but the real lesson here is that the two are substitutes — along with social sites and good old-fashioned email, too.
  • It is incumbent upon critics to accurately assess the “but for” world without the access point in question. Here, Nextag can and does use paid ads to reach its audience (and, it is important to note, did so even before it claims it was foreclosed from Google’s users). But there are innumerable other avenues of access, as well. Some may be “better” than others; some that may be “better” now won’t be next year (think how links by friends on Facebook to price comparisons on Nextag pages could come to dominate its readership).
  • This is progress — creative destruction — not regress, and such changes should not be penalized.

Next I take on the perennial issue of Error Costs and the Risks of Erroneous Enforcement arising from an incomplete and inaccurate understanding of Google’s market:

  • Microsoft’s market position was unassailable . . . until it wasn’t — and even at the time, many could have told you that its perceived dominance was fleeting (and many did).
  • Apple’s success (and the consumer value it has created), while built in no small part on its direct competition with Microsoft and the desktop PCs which run it, was primarily built on a business model that deviated from its once-dominant rival’s — and not on a business model that the DOJ’s antitrust case against the company either facilitated or anticipated.
  • Microsoft and Google’s other critic-competitors have more avenues to access users than ever before. Who cares if users get to these Google-alternatives through their devices instead of a URL? Access is access.
  • It isn’t just monopolists who prefer not to innovate: their competitors do, too. To the extent that Nextag’s difficulties arise from Google innovating, it is Nextag, not Google, that’s working to thwart innovation and fighting against dynamism.
  • Recall the furor around Google’s purchase of ITA, a powerful cautionary tale. As of September 2012, Google ranks 7th in visits among metasearch travel sites, with a paltry 1.4% of such visits. Residing at number one? FairSearch founding member, Kayak, with a whopping 61%. And how about FairSearch member Expedia? Currently, it’s the largest travel company in the world, and it has only grown in recent years.

The next section addresses the essential issue of Barriers to Entry and their absence:

  • One common refrain from Google’s critics is that Google’s access to immense amounts of data used to increase the quality of its targeting presents a barrier to competition that no one else can match, thus protecting Google’s unassailable monopoly. But scale comes in lots of ways.
  • It’s never been the case that a firm has to generate its own inputs into every product it produces — and there is no reason to suggest search/advertising is any different.
  • Meanwhile, Google’s chief competitor, Microsoft, is hardly hurting for data (even, quite creatively, culling data directly from Google itself), despite its claims to the contrary. And while regulators and critics may be looking narrowly and statically at search data, Microsoft is meanwhile sitting on top of copious data from unorthodox — and possibly even more valuable — sources.
  • To defend a claim of monopolization, it is generally required to show that the alleged monopolist enjoys protection from competition through barriers to entry. In Google’s case, the barriers alleged are illusory.

The next section takes on recent claims revolving around The Mobile Market and Google’s position (and conduct) there:

  • If obtaining or preserving dominance is simply a function of cash, Microsoft is sitting on some $58 billion of it that it can devote to that end. And JP Morgan Chase would be happy to help out if it could be guaranteed monopoly returns just by throwing its money at Bing. Like data, capital is widely available, and, also like data, it doesn’t matter if a company gets it from selling search advertising or from selling cars.
  • Advertisers don’t care whether the right (targeted) user sees their ads while playing Angry Birds or while surfing the web on their phone, and users can (and do) seek information online (and thus reveal their preferences) just as well (or perhaps better) through Wikipedia’s app as via a Google search in a mobile browser.
  • Moreover, mobile is already (and increasingly) a substitute for the desktop. Distinguishing mobile search from desktop search is meaningless when users use their tablets at home, perform activities that they would have performed at home away from home on mobile devices simply because they can, and where users sometimes search for places to go (for example) on mobile devices while out and sometimes on their computers before they leave.
  • Whatever gains Google may have made in search from its spread into the mobile world is likely to be undermined by the massive growth in social connectivity it has also wrought.
  • Mobile is part of the competitive landscape. All of the innovations in mobile present opportunities for Google and its competitors to best each other, and all present avenues of access for Google and its competitors to reach consumers.

The final section Concludes.

The lessons from all of this? There are two. First, these are dynamic markets, and it is a fool’s errand to identify the power or significance of any player in these markets based on data available today — data that is already out of date between the time it is collected and the time it is analyzed.

Second, each of these developments has presented different, novel and shifting opportunities and challenges for firms interested in attracting eyeballs, selling ad space and data, earning revenue and obtaining market share. To say that Google dominates “search” or “online advertising” misses the mark precisely because there is simply nothing especially antitrust-relevant about either search or online advertising. Because of their own unique products, innovations, data sources, business models, entrepreneurship and organizations, all of these companies have challenged and will continue to challenge the dominant company — and the dominant paradigm — in a shifting and evolving range of markets.

Perhaps most important is this:

Competition with Google may not and need not look exactly like Google itself, and some of this competition will usher in innovations that Google itself won’t be able to replicate. But this doesn’t make it any less competitive.  

Competition need not look identical to be competitive — that’s what innovation is all about. Just ask those famous buggy whip manufacturers.

In antitrust, error costs, google, law and economics, markets, monopolization, technology , , , , , , , , , , , ,
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Have Elhauge and Wickelgren Undermined the Rule of Per Se Legality for Above-Cost Loyalty Discounts?

Thom Lambert —  12 September 2012

Einer Elhauge and Abraham Wickelgren, of Harvard and the University of Texas, respectively, have recently posted to SSRN a pair of provocative papers on loyalty discounts (price cuts conditioned on the buyer’s purchasing some amount, usually a percentage of its requirements, from the seller).  Elhauge and Wickelgren take aim at the assertion by myself and others (e.g., Herb Hovenkamp) that loyalty discounts should be per se legal if they result in a discounted per-unit price that is above the seller’s incremental per-unit cost.  E&W would cast the liability net further.

We advocates of per se legality for above-cost loyalty discounts base our position on the fact that such discounts generally cannot exclude aggressive rivals that are as efficient as the discounter.  Suppose, for example, that widgets are normally sold for a dollar each but that a seller whose marginal cost is $.88/widget offers a 10% loyalty rebate to any buyer who purchases 80% of its widget requirements from the seller.  Because the $.90 discounted price exceeds the discounter’s marginal cost, any equally efficient widget producer could compete with the discount by lowering its own price to a level above its cost.

But what if the loyalty rebate actually causes a rival to be less efficient than the discounter? Some have argued that this may occur, even with above-cost loyalty discounts, when scale economies are significant.  Suppose that the market for tennis balls consists of two brands, Pinn and Willson, that current market shares, reflective of consumer demand, are 60% for the Pinn and 40% for Willson,  and that retailers typically stock the two brands in those proportions. Assume also that it costs each manufacturer $.90 to produce a can of tennis balls, that each sells to retailers for $1 per can, and that minimum efficient scale in this market (the lowest production level at which all available scale economies are exploited) occurs at a level of production equal to 35% of market demand. Suppose that Pinn, the dominant manufacturer, offers retailers a 10% loyalty rebate on all purchases made within a year if they buy 70% of their requirements for the year from Pinn.

While the $.90 per unit discounted price is not below Pinn’s cost, it might have the effect of driving Willson, an equally efficient rival, from the market. Willson could avoid losing market share and thus falling below minimum efficient scale only if it matched the full dollar amount of Pinn’s discount on its smaller base of sales. It wouldn’t be able to do so, though, without pricing below its cost.

Consider, for example, a typical retailer that initially (before the rebate announcement) satisfied its requirements by purchasing sixty cans of Pinn for $60 and forty cans of Willson for $40. After implementation of the rebate plan, the retailer could save $7 on its 100-can tennis ball requirements by spending $63 to obtain seventy Pinn cans and $30 to obtain thirty Willson cans. The retailer and others like it would thus have a strong incentive to shift purchases from Willson to Pinn.  To prevent a loss of market share that would drive it below minimum efficient scale, Willson would need to lower its price to provide retailers with the same total dollar discount, but on a smaller base of sales (40% of a typical retailer’s requirements rather than 60%). This would cause it to lower its price below its cost.  For example, Willson could match Pinn’s $7 discount to the retailer described above only by reducing its $1 per-unit price by 17.5 cents ($7.00/40 = $.175), which would require it to price below its cost of $.90 per unit.

When one considers dynamic effects, examples like this don’t really undermine the case for a rule of per se legality for above-cost loyalty discounts. Had the nondominant rival (Willson) charged a price equal to its marginal cost prior to implementation of Pinn’s loyalty rebate, it would have enjoyed a price advantage and likely would have grown its market share to a point at which Pinn’s loyalty rebate strategy could not drive it below minimum efficient scale. Moreover, a strategy that would prevent a nondominant but equally efficient firm from being harmed by a dominant rival’s above-cost loyalty rebate would be for the non-dominant firm to give its own volume discounts from the outset, securing up-front commitments from enough buyers (in exchange for discounted prices) to ensure that its production stayed above minimum efficient scale. Such a strategy, which would obviously benefit consumers, would be encouraged by a rule that evaluated loyalty discounts under straightforward Brooke Group principles and thereby signaled to manufacturers that they must take steps to protect themselves from above-cost loyalty discounts. In the end, then, any equally efficient rival that is committed to engaging in vigorous price competition ought not to be excluded by a dominant seller’s above-cost loyalty rebate.

Moreover, even if a loyalty rebate could occasionally drive an aggressive, equally efficient rival from the market, a rule of per se legality for above-cost loyalty discounts would still be desirable on error cost grounds.  An alternative rule subjecting above-cost loyalty discounts to potential treble damages liability would chill all sorts of non-exclusionary discounting practices, so that the social losses from reduced price competition would exceed any social gains from the elimination of those rare discounts that could exclude aggressive, efficient rivals. In short, the social costs resulting from potential false convinctions under a broader liability rule would overwhelm the social costs from false acquittals under the per se legality rule I have advocated.

The two new papers by Elhauge and Wickelgren contend that I and other per se legality advocates are missing a key anticompetitive threat posed by loyalty discounts even in the absence of scale economies: their potential to chill price competition.

The first E&W paper addresses loyalty discounts involving “buyer commitment”—i.e., a promise by buyers receiving the discount that they will purchase some percentage of their requirements from the discounter (not its rivals) in the future.  According to E&W, the discounter who agrees to this sort of arrangement will be less likely to give discounts to uncommitted (“free”) buyers in the future.  This is because, E&W say, the discounter knows that if it cuts prices to such buyers, it will have to reduce its prices to committed buyers by the agreed-upon discount percentage.  The discounter’s rivals, knowing that the discounter won’t cut prices to attract free buyers, will similarly abstain from aggressive price competition.  “The result,” E&W maintain, “is inflated prices to free buyers, which also means inflated prices to committed buyers because they are priced at a loyalty discount from those free buyer prices.”  Despite these adverse consequences, E&W contend, buyers will agree to competition-reducing loyalty discounts because much of their cost is externalized:  “[W]hen one buyer agrees to a loyalty discount, all buyers suffer from the higher prices that result from less aggressive competition,” so “an incumbent supplier need not compensate an individual buyer who agrees to a loyalty discount for the losses that all other buyers suffer.”

The second E&W paper contends that loyalty discounts may soften price competition and injure consumers even when they do not involve buyer commitment to purchase from the discounter in the future.  According to E&W, “[b]ecause the loyalty discount requires the seller to charge loyal buyers less than buyer who are not covered by the loyalty discount, the seller cannot lower prices to uncovered buyers without also lowering prices to loyal buyers.”  Given the increased cost of competing for uncovered buyers  (i.e., any price concession will require further concessions to covered buyers), the seller is likely to cede uncovered buyers to its rival, which will reduce the rival’s incentive to compete aggressively for buyers covered by the loyalty discount.  In short, E&W contend, the loyalty discount will facilitate a market division scheme between the discounter and its rival.

As is typical for an Elhauge paper, there’s some elaborate modeling and math in both of these papers.  The analysis appears to be rigorous.  It seems to me, though, that there’s a significant problem with both papers: Each assumes that loyalty discounts are structured so that the discounter promises to reduce the price from the amount collected in sales to others.  While I’m reluctant to make sweeping claims about how loyalty discounts are typically structured, I don’t think loyalty discounts usually work this way.

Loyalty discounts could be structured many ways.  The seller could offer a discount from a pre-determined price—e.g., “The price is $1 per widget, but if you purchase at least 80% of your widgets from me, I’ll charge you only $.90/widget.”  Such a discount doesn’t create the incentive effect that underlies E&W’s theories of anticompetitive effect, for there’s no reason for the seller not to reduce others’ widget prices in the future.  Alternatively, the seller could offer a discount off a list price that is subject to change—e.g., “If you purchase 80% of your requirements from me, I’ll charge you 10% less than the posted list price.”  This sort of discount might discourage sellers from lowering list prices, but it shouldn’t dissuade them from also giving others a break from list prices.  Indeed, in many industries hardly anyone pays list price.  The only loyalty discounts that threaten the effects E&W fear are those where the discount is explicitly tied to the price charged to others—e.g., “If you purchase 80% of your requirements from me, I’ll charge you 10% less than the lowest price I’m charging others.”

This last sort of loyalty discount might have the effects E&W predict, but I’ve never seen such a discount.  The loyalty discounts and rebates I encountered as an antitrust lawyer resembled the first two types discussed above: discounts off pre-determined prices or discounts off official list prices (from which price concessions were regularly granted to others).  The loyalty discounts that E&W model really just look like souped-up “Most Favored Nations” clauses, where the seller promises not just to meet, but to beat, the price it offers to other favored buyers.  It may make sense to police such clauses, but wouldn’t we do so using the standards governing MFN clauses rather than the rules and standards governing loyalty discounts?  After all, it’s the seller’s promise to beat its other price concessions, not the buyer’s loyalty, that causes the purported anticompetitive harm.

UPDATE:

I just recalled that this is not the first time we at TOTM have addressed Prof. Elhauge’s models of loyalty discounts containing a Most Favored Nations-like provision. FTC Commissioner-Appointee Josh Wright made a similar point about a paper Elhauge produced before these two.  If you found this post at all interesting, please read Josh’s earlier (and more rigorous) post. Sorry about that, Mr. Commish-to-be.

In antitrust, economics, error costs, law and economics, regulation
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Contemplating Disclosure-Based Insider Trading Regulation

Thom Lambert —  15 June 2012

TOTM friend Stephen Bainbridge is editing a new book on insider trading.  He kindly invited me to contribute a chapter, which I’ve now posted to SSRN (download here).  In the chapter, I consider whether a disclosure-based approach might be the best way to regulate insider trading.

As law and economics scholars have long recognized, informed stock trading may create both harms and benefits to society.  With respect to harms, defenders of insider trading restrictions have maintained that informed stock trading is ”unfair” to uninformed traders and causes social welfare losses by (1) encouraging deliberate mismanagement or disclosure delays aimed at generating trading profits; (2) infringing corporations’ informational property rights, thereby discouraging the production of valuable information; and (3) reducing trading efficiency by increasing the “bid-ask” spread demanded by stock specialists, who systematically lose on trades with insiders.

Proponents of insider trading liberalization have downplayed these harms.  With respect to the fairness argument, they contend that insider trading cannot be “unfair” to investors who know in advance that it might occur and nonetheless choose to trade.  And the purported efficiency losses occasioned by insider trading, liberalization proponents say, are overblown.  There is little actual evidence that insider trading reduces liquidity by discouraging individuals from investing in the stock market, and it might actually increase such liquidity by providing benefits to investors in equities.  With respect to the claim that insider trading creates incentives for delayed disclosures and value-reducing management decisions, advocates of deregulation claim that such mismanagement is unlikely for several reasons.  First, managers face reputational constraints that will discourage such misbehavior.  In addition, managers, who generally work in teams, cannot engage in value-destroying mismanagement without persuading their colleagues to go along with the strategy, which implies that any particular employee’s ability to engage in mismanagement will be constrained by her colleagues’ attempts to maximize firm value or to gain personally by exposing proposed mismanagement.  With respect to the property rights concern, deregulation proponents contend that, even if material nonpublic information is worthy of property protection, the property right need not be a non-transferable interest granted to the corporation; efficiency considerations may call for the right to be transferable and/or initially allocated to a different party (e.g., to insiders).  Finally, legalization proponents observe that there is little empirical evidence to support the concern that insider trading increases bid-ask spreads.

Turning to their affirmative case, proponents of insider trading legalization (beginning with Geoff’s dad, Henry Manne) have primarily emphasized two potential benefits of the practice.  First, they observe that insider trading increases stock market efficiency (i.e., the degree to which stock prices reflect true value), which in turn facilitates efficient resource allocation among capital providers and enhances managerial decision-making by reducing agency costs resulting from overvalued equity.  In addition, the right to engage in insider trading may constitute an efficient form of managerial compensation.

Not surprisingly, proponents of insider trading restrictions have taken issue with both of these purported benefits. With respect to the argument that insider trading leads to more efficient securities prices, ban proponents retort that trading by insiders conveys information only to the extent it is revealed, and even then the message it conveys is “noisy” or ambiguous, given that insiders may trade for a variety of reasons, many of which are unrelated to their possession of inside information.  Defenders of restrictions further maintain that insider trading is an inefficient, clumsy, and possibly perverse compensation mechanism.

The one thing that is clear in all this is that insider trading is a “mixed bag”  Sometimes such trading threatens to harm social welfare, as in SEC v. Texas Gulf Sulphur, where informed trading threatened to prevent a corporation from usurping a valuable opportunity.  But sometimes such trading creates net social benefits, as in Dirks v. SEC, where the trading revealed massive corporate fraud.

As regular TOTM readers will know, optimal regulation of “mixed bag” business practices (which are all over the place in the antitrust world) requires consideration of the costs of underdeterring “bad” conduct and of overdeterring “good” conduct.  Collectively, these constitute a rule’s “error costs.”  Policy makers should also consider the cost of administering the rule at issue; as they increase the complexity of the rule to reduce error costs, they may unwittingly drive up “decision costs” for adjudicators and business planners.  The goal of the policy maker addressing a mixed bag practice, then, should be to craft a rule that minimizes the sum of error and decision costs.

Adjudged under that criterion, the currently prevailing “fraud-based” rules on insider trading fail.  They are difficult to administer, and they occasion significant error cost by deterring many instances of socially desirable insider trading.  The more restrictive “equality of information-based” approach apparently favored by regulators fares even worse.  A contractarian, laissez-faire approach favored by many law and economics scholars would represent an improvement over the status quo, but that approach, too, may be suboptimal, for it does nothing to bolster the benefits or reduce the harms associated with insider trading.

My new book chapter proposes a disclosure-based approach that would help reduce the sum of error and decision costs resulting from insider trading and its regulation.  Under the proposed approach, authorized informed trading would be permitted as long as the trader first disclosed to a centralized, searchable database her insider status, the fact that she was trading on the basis of material, nonpublic in­formation, and the nature of her trade.  Such an approach would (1) enhance the market efficiency benefits of insider trading by facilitating “trade decod­ing,” while (2) reducing potential costs stemming from deliberate misman­agement, disclosure delays, and infringement of informational property rights.  By “accentuating the positive” and “eliminating the negative” conse­quences of informed trading, the proposed approach would perform better than the legal status quo and the leading proposed regulatory alternatives at minimizing the sum of error and decision costs resulting from insider trading restrictions.

Please download the paper and send me any thoughts.

In 10b-5, corporate law, disclosure regulation, error costs, financial regulation, insider trading, markets, regulation, securities regulation, SSRN
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Ginsburg & Wright on Dynamic Analysis and the Limits of Antitrust Institutions

Josh Wright —  14 June 2012

Judge Douglas Ginsburg (D.C. Circuit Court of Appeals; NYU Law) and I have posted “Dynamic Antitrust and the Limits of Antitrust Institutions” to SSRN.  Our article is forthcoming in Volume 78 (2) of the Antitrust Law Journal.  We offer a cautionary note – from an institutional perspective – concerning the ever-increasing and influential calls for greater incorporation of models of dynamic competition and innovation into antitrust analysis by courts and agencies.

Here is the abstract:

The static model of competition, which dominates modern antitrust analysis, has served antitrust law well.  Nonetheless, as commentators have observed, the static model ignores the impact that competitive (or anti-competitive) activities undertaken today will have upon future market conditions.  An increased focus upon dynamic competition surely has the potential to improve antitrust analysis and, thus, to benefit consumers.  The practical value of proposals to increase the use of dynamic analysis must, however, be evaluated with an eye to the institutional limitations that antitrust agencies and courts face when engaged in predictive fact-finding.  We explain and evaluate both the current state of dynamic antitrust analysis and some recent proposals that agencies and courts incorporate dynamic considerations more deeply into their analyses.  We show antitrust analysis is not willfully ignorant of the limitations of static analysis; on the contrary, when reasonably confident predictions can be made, they are readily incorporated into the analysis.  We also argue agencies and courts should view current proposals for a more dynamic approach with caution because the theories underpinning those proposals lie outside the agencies’ expertise in industrial organization economics, do not consistently yield determinate results, and would place significant demands upon reviewing courts to question predictions based upon those theories.  Considering the current state of economic theory and empirical knowledge, we conclude that competition agencies and courts have appropriately refrained from incorporating dynamic features into antitrust analysis to make predictions beyond what can be supported by a fact-intensive analysis.

You can download the paper here.

In antitrust, doj, economics, entrepreneurship, error costs, exclusionary conduct, federal trade commission, merger guidelines, mergers & acquisitions, monopolization, settlements, technology
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The procompetitive story that could undermine the DOJ’s e-books antitrust case against Apple

Geoffrey Manne —  12 April 2012

Did Apple conspire with e-book publishers to raise e-book prices?  That’s what DOJ argues in a lawsuit filed yesterday. But does that violate the antitrust laws?  Not necessarily—and even if it does, perhaps it shouldn’t.

Antitrust’s sole goal is maximizing consumer welfare.  While that generally means antitrust regulators should focus on lower prices, the situation is more complicated when we’re talking about markets for new products, where technologies for distribution and consumption are evolving rapidly along with business models.  In short, the so-called Agency pricing model Apple and publishers adopted may mean (and may not mean) higher e-book prices in the short run, but it also means more variability in pricing, and it might well have facilitated Apple’s entry into the market, increasing e-book retail competition and promoting innovation among e-book readers, while increasing funding for e-book content creators.

The procompetitive story goes something like the following.  (As always with antitrust, the question isn’t so much which model is better, but that no one really knows what the right model is—least of all antitrust regulators—and that, the more unclear the consumer welfare effects of a practice are, as in rapidly evolving markets, the more we should err on the side of restraint).

Apple versus Amazon

Apple–decidedly a hardware company–entered the e-book market as a device maker eager to attract consumers to its expensive iPad tablets by offering appealing media content.  In this it is the very opposite of Amazon, a general retailer that naturally moved into retailing digital content, and began selling hardware (Kindle readers) only as a way of getting consumers to embrace e-books.

The Kindle is essentially a one-trick pony (the latest Kindle notwithstanding), and its focus is on e-books.  By contrast, Apple’s platform (the iPad and, to a lesser degree, the iPhone) is a multi-use platform, offering Internet browsing, word processing, music, apps, and other products, of which books probably accounted–and still account–for a relatively small percentage of revenue.  Importantly, unlike Amazon, Apple has many options for promoting adoption of its platform—not least, the “sex appeal” of its famously glam products.  Without denigrating Amazon’s offerings, Amazon, by contrast, competes largely on the basis of its content, and its devices sell only as long as the content is attractive and attractively priced.

In essence, Apple’s iPad is a platform; Amazon’s Kindle is a book merchant wrapped up in a cool device.

What this means is that Apple, unlike Amazon, is far less interested in controlling content prices for books and other content; it hardly needs to control that lever to effectively market its platform, and it can easily rely on content providers’ self interest to ensure that enough content flows through its devices.

In other words, Apple is content to act as a typical platform would, acting as a conduit for others’ content, which the content owner controls.  Amazon surely has “platform” status in its sights, but reliant as it is on e-books, and nascent as that market is, it is not quite ready to act like a “pure” platform.  (For more on this, see my blog post from 2010).

The Agency Model

As it happens, publishers seem to prefer the Agency Model, as well, preferring to keep control over their content in this medium rather than selling it (as in the brick-and-mortar model) to a retailer like Amazon to price, market, promote and re-sell at will.  For the publishers, the Agency Model is essentially a form of resale price maintenance — ensuring that retailers who sell their products do not inefficiently discount prices.  (For a clear exposition of the procompetitive merits of RPM, see this article by Benjamin Klein).

(As a side note, I suspect that they may well be wrong to feel this way.  The inclination seems to stem from a fear of e-books’ threat to their traditional business model — a fear of technological evolution that can have catastrophic consequences (cf. Kodak, about which I wrote a few weeks ago).  But then content providers moving into digital media have been consistently woeful at understanding digital markets).

So the publishers strike a deal with Apple that gives the publishers control over pricing and Apple a cut (30%) of the profits.  Contrary to the DOJ’s claim in its complaint, this model happens to look exactly like Apple’s arrangement for apps and music, as well, right down to the same percentage Apple takes from sales.  This makes things easier for Apple, gives publishers more control over pricing, and offers Apple content and a good return sufficient to induce it to market and sell its platform.

It is worth noting here that there is no reason to think that the wholesale model wouldn’t also have generated enough content and enough return for Apple, so I don’t think the ultimate motivation here for Apple was higher prices (which could well have actually led to lower total return given fewer sales), but rather that it wasn’t interested in paying for control.  So in exchange for a (possibly) larger slice of the pie, as well as consistency with its existing content provider back-end and the avoidance of having to monitor and make pricing decisions,  Apple happily relinquished decision-making over pricing and other aspects of sales.

The Most Favored Nation Clauses

Having given up this price control, Apple has one remaining problem: no guarantee of being able to offer attractive content at an attractive price if it is forced to try to sell e-books at a high price while its competitors can undercut it.  And so, as is common in this sort of distribution agreement, Apple obtains “Most Favored Nation” (MFN) clauses from publishers to ensure that if they are permitting other platforms to sell their books at a lower price, Apple will at least be able to do so, as well.  The contracts at issue in the case specify maximum resale prices for content and ensure Apple that if a publisher permits, say, Amazon to sell the same content at a lower price, it will likewise offer the content via Apple’s iBooks store for the same price.

The DOJ is fighting a war against MFNs, which is a story for another day, and it seems clear from the terms of the settlement with the three setting publishers that indeed MFNs are a big part of the target here.  But there is nothing inherently problematic about MFNs, and there is plenty of scholarship explaining why they are beneficial.  Here, and important among these, they facilitate entry by offering some protection for an entrant’s up-front investment in challenging an incumbent, and prevent subsequent entrants from undercutting this price.  In this sense MFNs are essentially an important way of inducing retailers like Apple to sign on to an RPM (no control) model by offering some protection against publishers striking a deal with a competitor that leaves Apple forced to price its e-books out of the market.

There is nothing, that I know of, in the MFNs or elsewhere in the agreements that requires the publishers to impose higher resale prices elsewhere, or prevents the publishers from selling throughApple at a lower price, if necessary.  That said, it may well have been everyone’s hope that, as the DOJ alleges, the MFNs would operate like price floors instead of price ceilings, ensuring higher prices for publishers.  But hoping for higher prices is not an antitrust offense, and, as I’ve discussed, it’s not even clear that, viewed more broadly in terms of the evolution of the e-book and e-reader markets, higher prices in the short run would be bad for consumers.

The Legal Standard

To the extent that book publishers don’t necessarily know what’s really in their best interest, the DOJ is even more constrained in judging the benefits (or costs) for consumers at large from this scheme.  As I’ve suggested, there is a pretty clear procompetitive story here, and a court may indeed agree that this should not be judged under a per se liability standard (as would apply in the case of naked price-fixing).

Most important, here there is no allegation that the publishers and Apple (or the publishers among themselves) agreed on price.  Rather, the allegation is that they agreed to adopt a particular business model (one that, I would point out, probably resulted in greater variation in price, rather than less, compared to Amazon’s traditional $9.99-for-all pricing scheme).  If the DOJ can convince a court that this nevertheless amounts to a naked price-fixing agreement among publishers, with Apple operating as the hub, then they are probably sunk.  But while antitrust law is suspicious of collective action among rivals in coordinating on prices, this change in business model does not alone coordinate on prices.  Each individual publisher can set its own price, and it’s not clear that the DOJ’s evidence points to any agreement with respect to actual pricing level.

It does seem pretty clear that there is coordination here on the shift in business models.  But sometimes antitrust law condones such collective action to take account of various efficiencies (think standard setting or joint ventures or collective rights groups like BMI).  Here, there is a more than plausible case that coordinated action to move to a plausibly-more-efficient business model was necessary and pro-competitive.  If Apple can convince a court of that, then the DOJ has a rule of reason case on its hands and is facing a very uphill battle.

In antitrust, business, contracts, error costs, law and economics, MFNs, resale price maintenance, technology , , , , , ,
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A Decision-Theoretic Approach to Insider Trading Regulation

Thom Lambert —  19 January 2012

Regular readers will know that several of us TOTM bloggers are fans of the “decision-theoretic” approach to antitrust law.  Such an approach, which Josh and Geoff often call an “error cost” approach, recognizes that antitrust liability rules may misfire in two directions:  they may wrongly acquit harmful practices, and they may wrongly convict beneficial (or benign) behavior.  Accordingly, liability rules should be structured to minimize total error costs (welfare losses from condemning good stuff and acquitting bad stuff), while keeping in check the costs of administering the rules (e.g., the costs courts and business planners incur in applying the rules).  The goal, in other words, should be to minimize the sum of decision and error costs.  As I have elsewhere demonstrated, the Roberts Court’s antitrust jurisprudence seems to embrace this sort of approach.

One of my long-term projects (once I jettison some administrative responsibilities, like co-chairing my school’s dean search committee!) will be to apply the decision-theoretic approach to regulation generally.  I hope to build upon some classic regulatory scholarship, like Alfred Kahn’s Economics of Regulation (1970) and Justice Breyer’s Regulation and Its Reform (1984), to craft a systematic regulatory model that both avoids “regulatory mismatch” (applying the wrong regulatory fix to a particular type of market failure) and incorporates the decision-theoretic perspective. 

In the meantime, I’ve been thinking about insider trading regulation.  Our friend Professor Bainbridge recently invited me to contribute to a volume he’s editing on insider trading.  I’m planning to conduct a decision-theoretic analysis of actual and proposed insider trading regulation.

Such regulation is a terrific candidate for decision-theoretic analysis because stock trading on the basis of material, nonpublic information itself is a “mixed bag” practice:  Some instances of insider trading are, on net, socially beneficial; others create net welfare losses.  Contrast, for example, two famous insider trading cases:

  • In SEC v. Texas Gulf Sulphur, mining company insiders who knew of an unannounced ore discovery purchased stock in their company, knowing that the stock price would rise when the discovery was announced.  Their trading activity caused the stock price to rise over time.  Such price movement might have tipped off landowners in the vicinity of the deposit and caused them not to sell their property to the company (or to do so only at a high price), in which case the traders’ activity would have thwarted a valuable corporate opportunity.  If corporations cannot exploit their discoveries of hidden value (because of insider trading), they’ll be less likely to seek out hidden value in the first place, and social welfare will be reduced.  TGS thus represents “bad” insider trading.  
  • Dirks v. SEC, by contrast, illustrates “good” insider trading.  In that case, an insider tipped a securities analyst that a company was grossly overvalued because of rampant fraud.  The analyst recommended that his clients sell (or buy puts on) the stock of the fraud-ridden corporation.  That trading helped expose the fraud, creating social value in the form of more accurate stock prices.

These are just two examples of how insider trading may reduce or enhance social welfare.  In general, instances of insider trading may reduce social welfare by preventing firms from exploiting and thus creating valuable information (as in TGS), by creating incentives for deliberate mismanagement (because insiders can benefit from “bad news” and might therefore be encouraged to “create” it), and perhaps by limiting stock market liquidity or reducing market efficiency by increasing bid-ask spreads.  On the other hand, instances of insider trading may enhance social welfare by making stock markets more efficient (so that prices better reflect firms’ expected profitability and capital is more appropriately channeled), by reducing firms’ compensation costs (as the right to engage in insider trading replaces managers’ cash compensation—on this point, see the excellent work by our former blog colleague, Todd Henderson), and by reducing the corporate mismanagement and subsequent wealth destruction that comes from stock mispricing (mainly overvaluation of equity—see work by Michael Jensen and yours truly).

Because insider trading is sometimes good and sometimes bad, rules restricting it may err in two directions:  they may acquit/encourage bad instances, or they may condemn/prevent good instances.  In either case, social welfare suffers.  Accordingly, the optimal regulatory regime would seek to minimize the sum of losses from improper condemnations and improper acquittals (total error costs), while keeping administrative costs in check.

My contribution to Prof. Bainbridge’s insider trading book will employ decision theory to evaluate three actual or proposed approaches to regulating insider trading:  (1) the “level playing field” paradigm, apparently favored by many prosecutors and securities regulators, which would condemn any stock trading on the basis of material, nonpublic information; (2) the legal status quo, which deems “fraudulent” any insider trading where the trader owes either a fiduciary duty to his trading partner or a duty of trust or confidence to the source of his nonpublic information; and (3) a laissez-faire, “contractarian” approach, which would permit corporations and sources of nonpublic information to posit their own rules about when insiders and informed outsiders may trade on the basis of material, nonpublic information.  I’ll then propose a fourth disclosure-based alternative aimed at maximizing social welfare by enhancing the social benefits and reducing the social costs of insider trading, while keeping decision costs in check. 

Stay tuned…I’ll be trying out a few of the paper’s ideas on TOTM.  I look forward to hearing our informed readers’ thoughts.

In 10b-5, error costs, insider trading, law and economics, markets, regulation, securities regulation
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Fed should stay out of Google/Twitter social search spat

Geoffrey Manne —  12 January 2012

By Berin Szoka, Geoffrey Manne & Ryan Radia

As has become customary with just about every new product announcement by Google these days, the company’s introduction on Tuesday of its new “Search, plus Your World” (SPYW) program, which aims to incorporate a user’s Google+ content into her organic search results, has met with cries of antitrust foul play. All the usual blustering and speculation in the latest Google antitrust debate has obscured what should, however, be the two key prior questions: (1) Did Google violate the antitrust laws by not including data from Facebook, Twitter and other social networks in its new SPYW program alongside Google+ content; and (2) How might antitrust restrain Google in conditioning participation in this program in the future?

The answer to the first is a clear no. The second is more complicated—but also purely speculative at this point, especially because it’s not even clear Facebook and Twitter really want to be included or what their price and conditions for doing so would be. So in short, it’s hard to see what there is to argue about yet.

Let’s consider both questions in turn.

Should Google Have Included Other Services Prior to SPYW’s Launch?

Google says it’s happy to add non-Google content to SPYW but, as Google fellow Amit Singhal told Danny Sullivan, a leading search engine journalist:

Facebook and Twitter and other services, basically, their terms of service don’t allow us to crawl them deeply and store things. Google+ is the only [network] that provides such a persistent service,… Of course, going forward, if others were willing to change, we’d look at designing things to see how it would work.

In a follow-up story, Sullivan quotes his interview with Google executive chairman Eric Schmidt about how this would work:

“To start with, we would have a conversation with them,” Schmidt said, about settling any differences.

I replied that with the Google+ suggestions now hitting Google, there was no need to have any discussions or formal deals. Google’s regular crawling, allowed by both Twitter and Facebook, was a form of “automated conversation” giving Google material it could use.

“Anything we do with companies like that, it’s always better to have a conversion,” Schmidt said.

MG Siegler calls this “doublespeak” and seems to think Google violated the antitrust laws by not making SPYW more inclusive right out of the gate. He insists Google didn’t need permission to include public data in SPYW:

Both Twitter and Facebook have data that is available to the public. It’s data that Google crawls. It’s data that Google even has some social context for thanks to older Google Profile features, as Sullivan points out.

It’s not all the data inside the walls of Twitter and Facebook — hence the need for firehose deals. But the data Google can get is more than enough for many of the high level features of Search+ — like the “People and Places” box, for example.

It’s certainly true that if you search Google for “site:twitter.com” or “site:facebook.com,” you’ll get billions of search results from publicly-available Facebook and Twitter pages, and that Google already has some friend connection data via social accounts you might have linked to your Google profile (check out this dashboard), as Sullivan notes. But the public data isn’t available in real-time, and the private, social connection data is limited and available only for users who link their accounts. For Google to access real-time results and full social connection data would require… you guessed it… permission from Twitter (or Facebook)! As it happens, Twitter and Google had a deal for a “data firehose” so that Google could display tweets in real-time under the “personalized search” program for public social information that SPYW builds on top of. But Twitter ended the deal last May for reasons neither company has explained.

At best, therefore, Google might have included public, relatively stale social information from Twitter and Facebook in SPYW—content that is, in any case, already included in basic search results and remains available there. The real question, however, isn’t could Google have included this data in SPYW, but rather need they have? If Google’s engineers and executives decided that the incorporation of this limited data would present an inconsistent user experience or otherwise diminish its uniquely new social search experience, it’s hard to fault the company for deciding to exclude it. Moreover, as an antitrust matter, both the economics and the law of anticompetitive product design are uncertain. In general, as with issues surrounding the vertical integration claims against Google, product design that hurts rivals can (it should be self-evident) be quite beneficial for consumers. Here, it’s difficult to see how the exclusion of non-Google+ social media from SPYW could raise the costs of Google’s rivals, result in anticompetitive foreclosure, retard rivals’ incentives for innovation, or otherwise result in anticompetitive effects (as required to establish an antitrust claim).

Further, it’s easy to see why Google’s lawyers would prefer express permission from competitors before using their content in this way. After all, Google was denounced last year for “scraping” a different type of social content, user reviews, most notably by Yelp’s CEO at the contentious Senate antitrust hearing in September. Perhaps one could distinguish that situation from this one, but it’s not obvious where to draw the line between content Google has a duty to include without “making excuses” about needing permission and content Google has a duty not to include without express permission. Indeed, this seems like a case of “damned if you do, damned if you don’t.” It seems only natural for Google to be gun-shy about “scraping” other services’ public content for use in its latest search innovation without at least first conducting, as Eric Schmidt puts it, a “conversation.”

And as we noted, integrating non-public content would require not just permission but active coordination about implementation. SPYW displays Google+ content only to users who are logged into their Google+ account. Similarly, to display content shared with a user’s friends (but not the world) on Facebook, or protected tweets, Google would need a feed of that private data and a way of logging the user into his or her account on those sites.

Now, if Twitter truly wants Google to feature tweets in Google’s personalized search results, why did Twitter end its agreement with Google last year? Google responded to Twitter’s criticism of its SPYW launch last night with a short Google+ statement:

We are a bit surprised by Twitter’s comments about Search plus Your World, because they chose not to renew their agreement with us last summer, and since then we have observed their rel=nofollow instructions [by removing Twitter content results from "personalized search" results].

Perhaps Twitter simply got a better deal: Microsoft may have paid Twitter $30 million last year for a similar deal allowing Bing users to receive Twitter results. If Twitter really is playing hardball, Google is not guilty of discriminating against Facebook and Twitter in favor of its own social platform. Rather, it’s simply unwilling to pony up the cash that Facebook and Twitter are demanding—and there’s nothing illegal about that.

Indeed, the issue may go beyond a simple pricing dispute. If you were CEO of Twitter or Facebook, would you really think it was a net-win if your users could use Google search as an interface for your site? After all, these social networking sites are in an intense war for eyeballs: the more time users spend on Google, the more ads Google can sell, to the detriment of Facebook or Twitter. Facebook probably sees itself increasingly in direct competition with Google as a tool for finding information. Its social network has vastly more users than Google+ (800 million v 62 million, but even larger lead in active users), and, in most respects, more social functionality. The one area where Facebook lags is search functionality. Would Facebook really want to let Google become the tool for searching social networks—one social search engine “to rule them all“? Or would Facebook prefer to continue developing “social search” in partnership with Bing? On Bing, it can control how its content appears—and Facebook sees Microsoft as a partner, not a rival (at least until it can build its own search functionality inside the web’s hottest property).

Adding to this dynamic, and perhaps ultimately fueling some of the fire against SPYW, is the fact that many Google+ users seem to be multi-homing, using both Facebook and Google+ (and other social networks) at the same time, and even using various aggregators and syncing tools (Start Google+, for example) to unify social media streams and share content among them. Before SPYW, this might have seemed like a boon to Facebook, staunching any potential defectors from its network onto Google+ by keeping them engaged with both, with a kind of “Facebook primacy” ensuring continued eyeball time on its site. But Facebook might see SPYW as a threat to this primacy—in effect, reversing users’ primary “home” as they effectively import their Facebook data into SPYW via their Google+ accounts (such as through Start Google+). If SPYW can effectively facilitate indirect Google searching of private Facebook content, the fears we suggest above may be realized, and more users may forego vistiing Facebook.com (and seeing its advertisers), accessing much of their Facebook content elsewhere—where Facebook cannot monetize their attention.

Amidst all the antitrust hand-wringing over SPYW and Google’s decision to “go it alone” for now, it’s worth noting that Facebook has remained silent. Even Twitter has said little more than a tweet’s worth about the issue. It’s simply not clear that Google’s rivals would even want to participate in SPYW. This could still be bad for consumers, but in that case, the source of the harm, if any, wouldn’t be Google. If this all sounds speculative, it is—and that’s precisely the point. No one really knows. So, again, what’s to argue about on Day 3 of the new social search paradigm?

The Debate to Come: Conditioning Access to SPYW

While Twitter and Facebook may well prefer that Google not index their content on SPYW—at least, not unless Google is willing to pay up—suppose the social networking firms took Google up on its offer to have a “conversation” about greater cooperation. Google hasn’t made clear on what terms it would include content from other social media platforms. So it’s at least conceivable that, when pressed to make good on its lofty-but-vague offer to include other platforms, Google might insist on unacceptable terms. In principle, there are essentially three possibilities here:

  1. Antitrust law requires nothing because there are pro-consumer benefits for Google to make SPYW exclusive and no clear harm to competition (as distinct from harm to competitors) for doing so, as our colleague Josh Wright argues.
  2. Antitrust law requires Google to grant competitors access to SPYW on commercially reasonable terms.
  3. Antitrust law requires Google to grant such access on terms dictated by its competitors, even if unreasonable to Google.

Door #3 is a legal non-starter. In Aspen Skiing v. Aspen Highlands (1985), the Supreme Court came the closest it has ever come to endorsing the “essential facilities” doctrine by which a competitor has a duty to offer its facilities to competitors. But in Verizon Communications v. Trinko (2004), the Court made clear that even Aspen Skiing is “at or near the outer boundary of § 2 liability.” Part of the basis for the decision in Aspen Skiing was the existence of a prior, profitable relationship between the “essential facility” in question and the competitor seeking access. Although the assumption is neither warranted nor sufficient (circumstances change, of course, and merely “profitable” is not the same thing as “best available use of a resource”), the Court in Aspen Skiing seems to have been swayed by the view that the access in question was otherwise profitable for the company that was denying it. Trinko limited the reach of the doctrine to the extraordinary circumstances of Aspen Skiing, and thus, as the Court affirmed in Pacific Bell v. LinkLine (2008), it seems there is no antitrust duty for a firm to offer access to a competitor on commercially unreasonable terms (as Geoff Manne discusses at greater length in his chapter on search bias in TechFreedom’s free ebook, The Next Digital Decade).

So Google either has no duty to deal at all, or a duty to deal only on reasonable terms. But what would a competitor have to show to establish such a duty? And how would “reasonableness” be defined?

First, this issue parallels claims made more generally about Google’s supposed “search bias.” As Josh Wright has said about those claims, “[p]roperly articulated vertical foreclosure theories proffer both that bias is (1) sufficient in magnitude to exclude Google’s rivals from achieving efficient scale, and (2) actually directed at Google’s rivals.” Supposing (for the moment) that the second point could be established, it’s hard to see how Facebook or Twitter could really show that being excluded from SPYW—while still having their available content show up as it always has in Google’s “organic” search results—would actually “render their efforts to compete for distribution uneconomical,” which, as Josh explains, antitrust law would require them to show. Google+ is a tiny service compared to Google or Facebook. And even Google itself, for all the awe and loathing it inspires, lags in the critical metric of user engagement, keeping the average user on site for only a quarter as much time as Facebook.

Moreover, by these same measures, it’s clear that Facebook and Twitter don’t need access to Google search results at all, much less its relatively trivial SPYW results, in order find, and be found by, users; it’s difficult to know from what even vaguely relevant market they could possibly be foreclosed by their absence from SPYW results. Does SPYW potentially help Google+, to Facebook’s detriment? Yes. Just as Facebook’s deal with Microsoft hurts Google. But this is called competition. The world would be a desolate place if antitrust laws effectively prohibited firms from making decisions that helped themselves at their competitors’ expense.

After all, no one seems to be suggesting that Microsoft should be forced to include Google+ results in Bing—and rightly so. Microsoft’s exclusive partnership with Facebook is an important example of how a market leader in one area (Facebook in social) can help a market laggard in another (Microsoft in search) compete more effectively with a common rival (Google). In other words, banning exclusive deals can actually make it more difficult to unseat an incumbent (like Google), especially where the technologies involved are constantly evolving, as here.

Antitrust meddling in such arrangements, particularly in high-risk, dynamic markets where large up-front investments are frequently required (and lost), risks deterring innovation and reducing the very dynamism from which consumers reap such incredible rewards. “Reasonable” is a dangerously slippery concept in such markets, and a recipe for costly errors by the courts asked to define the concept. We suspect that disputes arising out of these sorts of deals will largely boil down to skirmishes over pricing, financing and marketing—the essential dilemma of new media services whose business models are as much the object of innovation as their technologies. Turning these, by little more than innuendo, into nefarious anticompetitive schemes is extremely—and unnecessarily—risky. Continue Reading…

In advertising, error costs, essential facilities, exclusionary conduct, google, Internet search, law and economics, monopolization, technology , , , , , ,
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Some Much-Needed Antitrust Skepticism on Senate Letter Urging FTC Google Investigation

Geoffrey Manne —  20 December 2011

By Geoffrey Manne and Berin Szoka

[Cross posted at TechFreedom.org]

Back in September, the Senate Judiciary Committee’s Antitrust Subcommittee held a hearing on “The Power of Google: Serving Consumers or Threatening Competition?” Given the harsh questioning from the Subcommittee’s Chairman Herb Kohl (D-WI) and Ranking Member Mike Lee (R-UT), no one should have been surprised by the letter they sent yesterday to the Federal Trade Commission asking for a “thorough investigation” of the company. At least this time the danger is somewhat limited: by calling for the FTC to investigate Google, the senators are thus urging the agency to do . . . exactly what it’s already doing.

So one must wonder about the real aim of the letter. Unfortunately, the goal does not appear to be to offer an objective appraisal of the complex issues intended to be addressed at the hearing. That’s disappointing (though hardly surprising) and underscores what we noted at the time of the hearing: There’s something backward about seeing a company hauled before a hostile congressional panel and asked to defend itself, rather than its self-appointed prosecutors being asked to defend their case.

Senators Kohl and Lee insist that they take no position on the legality of Google’s actions, but their lopsided characterization of the issues in the letter—and the fact that the FTC is already doing what they purport to desire as the sole outcome of the letter!—leaves little room for doubt about their aim: to put political pressure on the FTC not merely to investigate, but to reach a particular conclusion and bring a case in court (or simply to ratchet up public pressure from its bully pulpit).

The five page letter concludes with, literally, three sentences presenting Google’s case, one of which reads, in its entirety, “Google strongly denies the arguments of its critics.” The derision is palpable—as if only a craven monopolist would deign to actually deny the iron-clad arguments of Google’s competitors so painstakingly reproduced by Senators Kohl and Lee in the preceding four pages. This is neither rigorous analysis nor objective reporting on the contents of the Senate’s hearing.

While we worry about particularly successful companies being singled out for punishment, we hold no brief for Google in this debate. Instead, in all our writings, we’ve tried to present a consistently skeptical view about a worrisome trend in antitrust enforcement in high tech markets: error-prone and costly intervention in markets that are ill-understood and fast-moving, to the great detriment of consumers and progress generally. Although our institutions have received financial support from Google among a range of other companies, organizations and individuals, our work is focused on this broad mission; we have no obligation or intention to support any company simply because it finds value in supporting our mission.

We’ve defended (and one of us has even worked for) Microsoft in the past, and just yesterday, we lamented the fact that the Obama Justice Department and the FCC have effectively blocked Google’s arch-rival, AT&T, from buying T-Mobile. Rather than defend any particular company, our goal, to paraphrase Hayek, is to “demonstrate to [regulators] how little they really know about what they imagine they can design”—lest they undermine how competition actually works in the name of defending outdated models of how they think it should work. Unfortunately, the letter from Senators Kohl and Lee does nothing to assuage our concern and suggests instead that crass politics, rather than sensible economics, could determine the outcome of cases like this one—if not in a court of law, then in the court of public opinion and extra-legal intimidation.

To begin with, the letter asserts that “Google faces competition from only one general search engine, Bing,” suggesting that only Bing (and it, only ineffectively) could keep Google in check. In essence, the Senators are prejudging an essential question on which any case against Google would turn: market definition. But why would the market not include other tools for information retrieval? Is it not at least worth mentioning that more and more Internet users are finding information and spending time on social networks like Facebook and Twitter, while more and more advertisers are spending their money on these Google competitors? Isn’t it clear that search itself is evolving from “ten blue links” into something more social, multi-faceted and interactive?

In a remarkable leap, the senators then identify the specific alleged abuse that Google’s alleged market power leads to: search bias. That’s remarkable because, other than the breathless claims of disgruntled competitors (given plenty of air time at the September hearing), there is actually no evidence that search bias is, in fact, harmful to consumers—which is what antitrust is concerned with. (Read both sides of this debate in TechFreedom’s free ebook, The Next Digital Decade: Essays on the Future of the Internet.)

As our colleague, Josh Wright, has thoroughly demonstrated, this “own-content” bias is actually an infrequent phenomenon and is simply not consistent with an actionable claim of anticompetitive foreclosure. Moreover, among search engines, Google references its own content far less frequently than does Bing (which favors Microsoft content in the first search result when no other search engine does so more than twice as often as Google favors its own content).

Of course, none of this is even hinted at in the Senators’ letter, which seems intended to condemn Google for “preferencing” its own content (under the pretense of withholding judgment). It’s a little like condemning Target for deigning to use its trucks to supply inventory only to its own stores instead of Wal-Mart’s, or, say, condemning a congressman for targeting earmarks for his own state or district. Earmark bias! Continue Reading…

In antitrust, error costs, exclusionary conduct, federal trade commission, google, Internet search, law and economics, markets, monopolization, regulation, technology , , , , , , , , ,
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