Earlier this year, the International Center for Law & Economics (ICLE) hosted a conference with the Oxford Union on the themes of innovation, competition, and economic growth with some of our favorite scholars. Though attendance at the event itself was reserved for Oxford Union members, videos from that day are now available for everyone to watch.
Charles Goodhart and Manoj Pradhan on demographics and growth
Charles Goodhart, of Goodhart’s Law fame, and Manoj Pradhan discussed the relationship between demographics and growth, and argued that an aging global population could mean higher inflation and interest rates sooner than many imagine.
Catherine Tucker on privacy and innovation — is there a trade-off?
Catherine Tucker of the Massachusetts Institute of Technology discussed the costs and benefits of privacy regulation with ICLE’s Sam Bowman, and considered whether we face a trade-off between privacy and innovation online and in the fight against COVID-19.
Don Rosenberg on the political and economic challenges facing a global tech company in 2021
Qualcomm’s General Counsel Don Rosenberg, formerly of Apple and IBM, discussed the political and economic challenges facing a global tech company in 2021, as well as dealing with China while working in one of the most strategically vital industries in the world.
David Teece on the dynamic capabilities framework
David Teece explained the dynamic capabilities framework, a way of understanding business strategy and behavior in an uncertain world.
Vernon Smith in conversation with Shruti Rajagopalan on what we still have to learn from Adam Smith
Nobel laureate Vernon Smith discussed the enduring insights of Adam Smith with the Mercatus Center’s Shruti Rajagopalan.
Samantha Hoffman, Robert Atkinson and Jennifer Huddleston on American and Chinese approaches to tech policy in the 2020s
The final panel, with the Information Technology and Innovation Foundation’s President Robert Atkinson, the Australian Strategic Policy Institute’s Samantha Hoffman, and the American Action Forum’s Jennifer Huddleston, discussed the role that tech policy in the U.S. and China plays in the geopolitics of the 2020s.
It will have some positive effects on economic welfare, to the extent it succeeds in lifting artificial barriers to competition that harm consumers and workers—such as allowing direct sales of hearing aids in drug stores—and helping to eliminate unnecessary occupational licensing restrictions, to name just two of several examples.
But it will likely have substantial negative effects on economic welfare as well. Many aspects of the order appear to emphasize new regulation—such as Net Neutrality requirements that may reduce investment in broadband by internet service providers—and imposing new regulatory requirements on airlines, pharmaceutical companies, digital platforms, banks, railways, shipping, and meat packers, among others. Arbitrarily imposing new rules in these areas, without a cost-beneficial appraisal and a showing of a market failure, threatens to reduce innovation and slow economic growth, hurting producers and consumer. (A careful review of specific regulatory proposals may shed greater light on the justifications for particular regulations.)
Antitrust-related proposals to challenge previously cleared mergers, and to impose new antitrust rulemaking, are likely to raise costly business uncertainty, to the detriment of businesses and consumers. They are a recipe for slower economic growth, not for vibrant competition.
An underlying problem with the order is that it is based on the false premise that competition has diminished significantly in recent decades and that “big is bad.” Economic analysis found in the February 2020 Economic Report of the President, and in other economic studies, debunks this flawed assumption.
In short, the order commits the fundamental mistake of proposing intrusive regulatory solutions for a largely nonexistent problem. Competitive issues are best handled through traditional well-accepted antitrust analysis, which centers on promoting consumer welfare and on weighing procompetitive efficiencies against anticompetitive harm on a case-by-case basis. This approach:
Deals effectively with serious competitive problems; while at the same time
Cabining error costs by taking into account all economically relevant considerations on a case-specific basis.
Rather than using an executive order to direct very specific regulatory approaches without a strong economic and factual basis, the Biden administration would have been better served by raising a host of competitive issues that merit possible study and investigation by expert agencies. Such an approach would have avoided imposing the costs of unwarranted regulation that unfortunately are likely to stem from the new order.
Finally, the order’s call for new regulations and the elimination of various existing legal policies will spawn matter-specific legal challenges, and may, in many cases, not succeed in court. This will impose unnecessary business uncertainty in addition to public and private resources wasted on litigation.
President Joe Biden named his post-COVID-19 agenda “Build Back Better,” but his proposals to prioritize support for government-run broadband service “with less pressure to turn profits” and to “reduce Internet prices for all Americans” will slow broadband deployment and leave taxpayers with an enormous bill.
Policymakers should pay particular heed to this danger, amid news that the Senate is moving forward with considering a $1.2 trillion bipartisan infrastructure package, and that the Federal Communications Commission, the U.S. Commerce Department’s National Telecommunications and Information Administration, and the U.S. Agriculture Department’s Rural Utilities Service will coordinate on spending broadband subsidy dollars.
In order to ensure that broadband subsidies lead to greater buildout and adoption, policymakers must correctly understand the state of competition in broadband and not assume that increasing the number of firms in a market will necessarily lead to better outcomes for consumers or the public.
A recent white paper published by us here at the International Center for Law & Economics makes the case that concentration is a poor predictor of competitiveness, while offering alternative policies for reaching Americans who don’t have access to high-speed Internet service.
The data show that the state of competition in broadband is generally healthy. ISPs routinely invest billions of dollars per year in building, maintaining, and upgrading their networks to be faster, more reliable, and more available to consumers. FCC data show that average speeds available to consumers, as well as the number of competitors providing higher-speed tiers, have increased each year. And prices for broadband, as measured by price-per-Mbps, have fallen precipitously, dropping 98% over the last 20 years. None of this makes sense if the facile narrative about the absence of competition were true.
In our paper, we argue that the real public policy issue for broadband isn’t curbing the pursuit of profits or adopting price controls, but making sure Americans have broadband access and encouraging adoption. In areas where it is very costly to build out broadband networks, like rural areas, there tend to be fewer firms in the market. But having only one or two ISPs available is far less of a problem than having none at all. Understanding the underlying market conditions and how subsidies can both help and hurt the availability and adoption of broadband is an important prerequisite to good policy.
The basic problem is that those who have decried the lack of competition in broadband often look at the number of ISPs in a given market to determine whether a market is competitive. But this is not how economists think of competition. Instead, economists look at competition as a dynamic process where changes in supply and demand factors are constantly pushing the market toward new equilibria.
In general, where a market is “contestable”—that is, where existing firms face potential competition from the threat of new entry—even just a single existing firm may have to act as if it faces vigorous competition. Such markets often have characteristics (e.g., price, quality, and level of innovation) similar or even identical to those with multiple existing competitors. This dynamic competition, driven by changes in technology or consumer preferences, ensures that such markets are regularly disrupted by innovative products and services—a process that does not always favor incumbents.
Proposals focused on increasing the number of firms providing broadband can actually reduce consumer welfare. Whether through overbuilding—by allowing new private entrants to free-ride on the initial investment by incumbent companies—or by going into the Internet business itself through municipal broadband, government subsidies can increase the number of firms providing broadband. But it can’t do so without costs―which include not just the cost of the subsidies themselves, which ultimately come from taxpayers, but also the reduced incentives for unsubsidized private firms to build out broadband in the first place.
If underlying supply and demand conditions in rural areas lead to a situation where only one provider can profitably exist, artificially adding another completely reliant on subsidies will likely just lead to the exit of the unsubsidized provider. Or, where a community already has municipal broadband, it is unlikely that a private ISP will want to enter and compete with a firm that doesn’t have to turn a profit.
A much better alternative for policymakers is to increase the demand for buildout through targeted user subsidies, while reducing regulatory barriers to entry that limit supply.
For instance, policymakers should consider offering connectivity vouchers to unserved households in order to stimulate broadband deployment and consumption. Current subsidy programs rely largely on subsidizing the supply side, but this requires the government to determine the who and where of entry. Connectivity vouchers would put the choice in the hands of consumers, while encouraging more buildout to areas that may currently be uneconomic to reach due to low population density or insufficient demand due to low adoption rates.
Local governments could also facilitate broadband buildout by reducing unnecessary regulatory barriers. Local building codes could adopt more connection-friendly standards. Local governments could also reduce the cost of access to existing poles and other infrastructure. Eligible Telecommunications Carrier (ETC) requirements could also be eliminated, because they deter potential providers from seeking funds for buildout (and don’t offer countervailing benefits).
Albert Einstein once said: “if I were given one hour to save the planet, I would spend 59 minutes defining the problem, and one minute resolving it.” When it comes to encouraging broadband buildout, policymakers should make sure they are solving the right problem. The problem is that the cost of building out broadband to unserved areas is too high or the demand too low—not that there are too few competitors.
The recent launch of the international Multilateral Pharmaceutical Merger Task Force (MPMTF) is just the latest example of burgeoning cooperative efforts by leading competition agencies to promote convergence in antitrust enforcement. (See my recent paper on the globalization of antitrust, which assesses multinational cooperation and convergence initiatives in greater detail.) In what is a first, the U.S. Federal Trade Commission (FTC), the U.S. Justice Department’s (DOJ) Antitrust Division, offices of state Attorneys General, the European Commission’s Competition Directorate, Canada’s Competition Bureau, and the U.K.’s Competition and Market Authority (CMA) jointly created the MPMTF in March 2021 “to update their approach to analyzing the effects of pharmaceutical mergers.”
To help inform its analysis, in May 2021 the MPMTF requested public comments concerning the effects of pharmaceutical mergers. The MPMTF sought submissions regarding (among other issues) seven sets of questions:
What theories of harm should enforcement agencies consider when evaluating pharmaceutical mergers, including theories of harm beyond those currently considered?
What is the full range of a pharmaceutical merger’s effects on innovation? What challenges arise when mergers involve proprietary drug discovery and manufacturing platforms?
In pharmaceutical merger review, how should we consider the risks or effects of conduct such as price-setting practices, reverse payments, and other ways in which pharmaceutical companies respond to or rely on regulatory processes?
How should we approach market definition in pharmaceutical mergers, and how is that implicated by new or evolving theories of harm?
What evidence may be relevant or necessary to assess and, if applicable, challenge a pharmaceutical merger based on any new or expanded theories of harm?
What types of remedies would work in the cases to which those theories are applied?
What factors, such as the scope of assets and characteristics of divestiture buyers, influence the likelihood and success of pharmaceutical divestitures to resolve competitive concerns?
My research assistant Andrew Mercado and I recently submitted comments for the record addressing the questions posed by the MPMTF. We concluded:
Federal merger enforcement in general and FTC pharmaceutical merger enforcement in particular have been effective in promoting competition and consumer welfare. Proposed statutory amendments to strengthen merger enforcement not only are unnecessary, but also would, if enacted, tend to undermine welfare and would thus be poor public policy. A brief analysis of seven questions propounded by the Multilateral Pharmaceutical Merger Task Force suggests that: (a) significant changes in enforcement policies are not warranted; and (b) investigators should employ sound law and economics analysis, taking full account of merger-related efficiencies, when evaluating pharmaceutical mergers.
While we leave it to interested readers to review our specific comments, this commentary highlights one key issue which we stressed—the importance of giving due weight to efficiencies (and, in particular, dynamic efficiencies) in evaluating pharma mergers. We also note an important critique by FTC Commissioner Christine Wilson of the treatment accorded merger-related efficiencies by U.S. antitrust enforcers.
Innovation in pharmaceuticals and vaccines has immensely significant economic and social consequences, as demonstrated most recently in the handling of the COVID-19 pandemic. As such, it is particularly important that public policy not stand in the way of realizing efficiencies that promote innovation in these markets. This observation applies directly, of course, to pharmaceutical antitrust enforcement, in general, and to pharma merger enforcement, in particular.
Regrettably, however, though general merger-enforcement policy has been generally sound, it has somewhat undervalued merger-related efficiencies.
Although U.S. antitrust enforcers give lip service to their serious consideration of efficiencies in merger reviews, the reality appears to be quite different, as documented by Commissioner Wilson in a 2020 speech.
Wilson’s General Merger-Efficiencies Critique: According to Wilson, the combination of finding narrow markets and refusing to weigh out-of-market efficiencies has created major “legal and evidentiary hurdles a defendant must clear when seeking to prove offsetting procompetitive efficiencies.” What’s more, the “courts [have] largely continue[d] to follow the Agencies’ lead in minimizing the importance of efficiencies.” Wilson shows that “the Horizontal Merger Guidelines text and case law appear to set different standards for demonstrating harms and efficiencies,” and argues that this “asymmetric approach has the obvious potential consequence of preventing some procompetitive mergers that increase consumer welfare.” Wilson concludes on a more positive note that this problem can be addressed by having enforcers: (1) treat harms and efficiencies symmetrically; and (2) establish clear and reasonable expectations for what types of efficiency analysis will and will not pass muster.
While our filing with the MPMTF did not discuss Wilson’s general treatment of merger efficiencies, one would hope that the task force will appropriately weigh it in its deliberations. Our filing instead briefly addressed two “informational efficiencies” that may arise in the context of pharmaceutical mergers. These include:
More Efficient Resource Reallocation: The theory of the firm teaches that mergers may be motivated by the underutilization or misallocation of assets, or the opportunity to create welfare-enhancing synergies. In the pharmaceutical industry, these synergies may come from joining complementary research and development programs, combining diverse and specialized expertise that may be leveraged for better, faster drug development and more innovation.
Enhanced R&D: Currently, much of the R&D for large pharmaceutical companies is achieved through partnerships or investment in small biotechnology and research firms specializing in a single type of therapy. Whereas large pharmaceutical companies have expertise in marketing, navigating regulation, and undertaking trials of new drugs, small, research-focused firms can achieve greater advancements in medicine with smaller budgets. Furthermore, changes within firms brought about by a merger may increase innovation.
With increases in intellectual property and proprietary data that come from the merging of two companies, smaller research firms that work with the merged entity may have access to greater pools of information, enhancing the potential for innovation without increasing spending. This change not only raises the efficiency of the research being conducted in these small firms, but also increases the probability of a breakthrough without an increase in risk.
U.S. pharmaceutical merger enforcement has been fairly effective in forestalling anticompetitive combinations while allowing consumer welfare-enhancing transactions to go forward. Policy in this area should remain generally the same. Enforcers should continue to base enforcement decisions on sound economic theory fully supported by case-specific facts. Enforcement agencies could benefit, however, by placing a greater emphasis on efficiencies analysis. In particular, they should treat harms and efficiencies symmetrically (as recommend by Commissioner Wilson), and fully take into account likely resource reallocation and innovation-related efficiencies.
In what has become regularly scheduled programming on Capitol Hill, Facebook CEO Mark Zuckerberg, Twitter CEO Jack Dorsey, and Google CEO Sundar Pichai will be subject to yet another round of congressional grilling—this time, about the platforms’ content-moderation policies—during a March 25 joint hearing of two subcommittees of the House Energy and Commerce Committee.
The stated purpose of this latest bit of political theatre is to explore, as made explicit in the hearing’s title, “social media’s role in promoting extremism and misinformation.” Specific topics are expected to include proposed changes to Section 230 of the Communications Decency Act, heightened scrutiny by the Federal Trade Commission, and misinformation about COVID-19—the subject of new legislation introduced by Rep. Jennifer Wexton (D-Va.) and Sen. Mazie Hirono (D-Hawaii).
But while many in the Democratic majority argue that social media companies have not done enough to moderate misinformation or hate speech, it is a problem with no realistic legal fix. Any attempt to mandate removal of speech on grounds that it is misinformation or hate speech, either directly or indirectly, would run afoul of the First Amendment.
Misinformation Is Usually Legal
Much of the recent focus has been on misinformation spread on social media about the 2020 election and the COVID-19 pandemic. The memorandum for the March 25 hearing sums it up:
Facebook, Google, and Twitter have long come under fire for their role in the dissemination and amplification of misinformation and extremist content. For instance, since the beginning of the coronavirus disease of 2019 (COVID-19) pandemic, all three platforms have spread substantial amounts of misinformation about COVID-19. At the outset of the COVID-19 pandemic, disinformation regarding the severity of the virus and the effectiveness of alleged cures for COVID-19 was widespread. More recently, COVID-19 disinformation has misrepresented the safety and efficacy of COVID-19 vaccines.
Facebook, Google, and Twitter have also been distributors for years of election disinformation that appeared to be intended either to improperly influence or undermine the outcomes of free and fair elections. During the November 2016 election, social media platforms were used by foreign governments to disseminate information to manipulate public opinion. This trend continued during and after the November 2020 election, often fomented by domestic actors, with rampant disinformation about voter fraud, defective voting machines, and premature declarations of victory.
It is true that, despite social media companies’ efforts to label and remove false content and bar some of the biggest purveyors, there remains a considerable volume of false information on social media. But U.S. Supreme Court precedent consistently has limited government regulation of false speech to distinct categories like defamation, perjury, and fraud.
The Case of Stolen Valor
The court’s 2011 decision in United States v. Alvarez struck down as unconstitutional the Stolen Valor Act of 2005, which made it a federal crime to falsely claim to have earned a military medal. A four-justice plurality opinion written by Justice Anthony Kennedy, along with a two-justice concurrence, both agreed that a statement being false did not, by itself, exclude it from First Amendment protection.
Kennedy’s opinion noted that while the government may impose penalties for false speech connected with the legal process (perjury or impersonating a government official); with receiving a benefit (fraud); or with harming someone’s reputation (defamation); the First Amendment does not sanction penalties for false speech, in and of itself. The plurality exhibited particular skepticism toward the notion that government actors could be entrusted as a “Ministry of Truth,” empowered to determine what categories of false speech should be made illegal:
Permitting the government to decree this speech to be a criminal offense, whether shouted from the rooftops or made in a barely audible whisper, would endorse government authority to compile a list of subjects about which false statements are punishable. That governmental power has no clear limiting principle. Our constitutional tradition stands against the idea that we need Oceania’s Ministry of Truth… Were this law to be sustained, there could be an endless list of subjects the National Government or the States could single out… Were the Court to hold that the interest in truthful discourse alone is sufficient to sustain a ban on speech, absent any evidence that the speech was used to gain a material advantage, it would give government a broad censorial power unprecedented in this Court’s cases or in our constitutional tradition. The mere potential for the exercise of that power casts a chill, a chill the First Amendment cannot permit if free speech, thought, and discourse are to remain a foundation of our freedom. [EMPHASIS ADDED]
As noted in the opinion, declaring false speech illegal constitutes a content-based restriction subject to “exacting scrutiny.” Applying that standard, the court found “the link between the Government’s interest in protecting the integrity of the military honors system and the Act’s restriction on the false claims of liars like respondent has not been shown.”
While finding that the government “has not shown, and cannot show, why counterspeech would not suffice to achieve its interest,” the plurality suggested a more narrowly tailored solution could be simply to publish Medal of Honor recipients in an online database. In other words, the government could overcome the problem of false speech by promoting true speech.
In 2012, President Barack Obama signed an updated version of the Stolen Valor Act that limited its penalties to situations where a misrepresentation is shown to result in receipt of some kind of benefit. That places the false speech in the category of fraud, consistent with the Alvarez opinion.
A Social Media Ministry of Truth
Applying the Alvarez standard to social media, the government could (and already does) promote its interest in public health or election integrity by publishing true speech through official channels. But there is little reason to believe the government at any level could regulate access to misinformation. Anything approaching an outright ban on accessing speech deemed false by the government not only would not be the most narrowly tailored way to deal with such speech, but it is bound to have chilling effects even on true speech.
The analysis doesn’t change if the government instead places Big Tech itself in the position of Ministry of Truth. Some propose making changes to Section 230, which currently immunizes social media companies from liability for user speech (with limited exceptions), regardless what moderation policies the platform adopts. A hypothetical change might condition Section 230’s liability shield on platforms agreeing to moderate certain categories of misinformation. But that would still place the government in the position of coercing platforms to take down speech.
Even the “fix” of making social media companies liable for user speech they amplify through promotions on the platform, as proposed by Sen. Mark Warner’s (D-Va.) SAFE TECH Act, runs into First Amendment concerns. The aim of the bill is to regard sponsored content as constituting speech made by the platform, thus opening the platform to liability for the underlying misinformation. But any such liability also would be limited to categories of speech that fall outside First Amendment protection, like fraud or defamation. This would not appear to include most of the types of misinformation on COVID-19 or election security that animate the current legislative push.
There is no way for the government to regulate misinformation, in and of itself, consistent with the First Amendment. Big Tech companies are free to develop their own policies against misinformation, but the government may not force them to do so.
Extremely Limited Room to Regulate Extremism
The Big Tech CEOs are also almost certain to be grilled about the use of social media to spread “hate speech” or “extremist content.” The memorandum for the March 25 hearing sums it up like this:
Facebook executives were repeatedly warned that extremist content was thriving on their platform, and that Facebook’s own algorithms and recommendation tools were responsible for the appeal of extremist groups and divisive content. Similarly, since 2015, videos from extremists have proliferated on YouTube; and YouTube’s algorithm often guides users from more innocuous or alternative content to more fringe channels and videos. Twitter has been criticized for being slow to stop white nationalists from organizing, fundraising, recruiting and spreading propaganda on Twitter.
Social media has often played host to racist, sexist, and other types of vile speech. While social media companies have community standards and other policies that restrict “hate speech” in some circumstances, there is demand from some public officials that they do more. But under a First Amendment analysis, regulating hate speech on social media would fare no better than the regulation of misinformation.
The First Amendment doesn’t allow for the regulation of “hate speech” as its own distinct category. Hate speech is, in fact, as protected as any other type of speech. There are some limited exceptions, as the First Amendment does not protect incitement, true threats of violence, or “fighting words.” Some of these flatly do not apply in the online context. “Fighting words,” for instance, applies only in face-to-face situations to “those personally abusive epithets which, when addressed to the ordinary citizen, are, as a matter of common knowledge, inherently likely to provoke violent reaction.”
One relevant precedent is the court’s 1992 decision in R.A.V. v. St. Paul, which considered a local ordinance in St. Paul, Minnesota, prohibiting public expressions that served to cause “outrage, alarm, or anger with respect to racial, gender or religious intolerance.” A juvenile was charged with violating the ordinance when he created a makeshift cross and lit it on fire in front of a black family’s home. The court unanimously struck down the ordinance as a violation of the First Amendment, finding it an impermissible content-based restraint that was not limited to incitement or true threats.
By contrast, in 2003’s Virginia v. Black, the Supreme Court upheld a Virginia law outlawing cross burnings done with the intent to intimidate. The court’s opinion distinguished R.A.V. on grounds that the Virginia statute didn’t single out speech regarding disfavored topics. Instead, it was aimed at speech that had the intent to intimidate regardless of the victim’s race, gender, religion, or other characteristic. But the court was careful to limit government regulation of hate speech to instances that involve true threats or incitement.
When it comes to incitement, the legal standard was set by the court’s landmark Brandenberg v. Ohiodecision in 1969, which laid out that:
the constitutional guarantees of free speech and free press do not permit a State to forbid or proscribe advocacy of the use of force or of law violation except where such advocacy is directed to inciting or producing imminent lawless action and is likely to incite or produce such action. [EMPHASIS ADDED]
In other words, while “hate speech” is protected by the First Amendment, specific types of speech that convey true threats or fit under the related doctrine of incitement are not. The government may regulate those types of speech. And they do. In fact, social media users can be, and often are, charged with crimes for threats made online. But the government can’t issue a per se ban on hate speech or “extremist content.”
Just as with misinformation, the government also can’t condition Section 230 immunity on platforms removing hate speech. Insofar as speech is protected under the First Amendment, the government can’t specifically condition a government benefit on its removal. Even the SAFE TECH Act’s model for holding platforms accountable for amplifying hate speech or extremist content would have to be limited to speech that amounts to true threats or incitement. This is a far narrower category of hateful speech than the examples that concern legislators.
Social media companies do remain free under the law to moderate hateful content as they see fit under their terms of service. Section 230 immunity is not dependent on whether companies do or don’t moderate such content, or on how they define hate speech. But government efforts to step in and define hate speech would likely run into First Amendment problems unless they stay focused on unprotected threats and incitement.
What Can the Government Do?
One may fairly ask what it is that governments can do to combat misinformation and hate speech online. The answer may be a law that requires takedowns by court order of speech after it is declared illegal, as proposed by the PACT Act, sponsored in the last session by Sens. Brian Schatz (D-Hawaii) and John Thune (R-S.D.). Such speech may, in some circumstances, include misinformation or hate speech.
But as outlined above, the misinformation that the government can regulate is limited to situations like fraud or defamation, while the hate speech it can regulate is limited to true threats and incitement. A narrowly tailored law that looked to address those specific categories may or may not be a good idea, but it would likely survive First Amendment scrutiny, and may even prove a productive line of discussion with the tech CEOs.
Policy discussions about the use of personal data often have “less is more” as a background assumption; that data is overconsumed relative to some hypothetical optimal baseline. This overriding skepticism has been the backdrop for sweeping new privacy regulations, such as the California Consumer Privacy Act (CCPA) and the EU’s General Data Protection Regulation (GDPR).
More recently, as part of the broad pushback against data collection by online firms, some have begun to call for creating property rights in consumers’ personal data or for data to be treated as labor. Prominent backers of the idea include New York City mayoral candidate Andrew Yang and computer scientist Jaron Lanier.
The discussion has escaped the halls of academia and made its way into popular media. During a recent discussion with Tesla founder Elon Musk, comedian and podcast host Joe Rogan argued that Facebook is “one gigantic information-gathering business that’s decided to take all of the data that people didn’t know was valuable and sell it and make f***ing billions of dollars.” Musk appeared to agree.
The animosity exhibited toward data collection might come as a surprise to anyone who has taken Econ 101. Goods ideally end up with those who value them most. A firm finding profitable ways to repurpose unwanted scraps is just the efficient reallocation of resources. This applies as much to personal data as to literal trash.
Unfortunately, in the policy sphere, few are willing to recognize the inherent trade-off between the value of privacy, on the one hand, and the value of various goods and services that rely on consumer data, on the other. Ideally, policymakers would look to markets to find the right balance, which they often can. When the transfer of data is hardwired into an underlying transaction, parties have ample room to bargain.
But this is not always possible. In some cases, transaction costs will prevent parties from bargaining over the use of data. The question is whether such situations are so widespread as to justify the creation of data property rights, with all of the allocative inefficiencies they entail. Critics wrongly assume the solution is both to create data property rights and to allocate them to consumers. But there is no evidence to suggest that, at the margin, heightened user privacy necessarily outweighs the social benefits that new data-reliant goods and services would generate. Recent experience in the worlds of personalized medicine and the fight against COVID-19 help to illustrate this point.
Data Property Rights and Personalized Medicine
The world is on the cusp of a revolution in personalized medicine. Advances such as the improved identification of biomarkers, CRISPR genome editing, and machine learning, could usher a new wave of treatments to markedly improve health outcomes.
Personalized medicine uses information about a person’s own genes or proteins to prevent, diagnose, or treat disease. Genetic-testing companies like 23andMe or Family Tree DNA, with the large troves of genetic information they collect, could play a significant role in helping the scientific community to further medical progress in this area.
However, despite the obvious potential of personalized medicine, many of its real-world applications are still very much hypothetical. While governments could act in any number of ways to accelerate the movement’s progress, recent policy debates have instead focused more on whether to create a system of property rights covering personal genetic data.
Some raise concerns that it is pharmaceutical companies, not consumers, who will reap the monetary benefits of the personalized medicine revolution, and that advances are achieved at the expense of consumers’ and patients’ privacy. They contend that data property rights would ensure that patients earn their “fair” share of personalized medicine’s future profits.
But it’s worth examining the other side of the coin. There are few things people value more than their health. U.S. governmental agencies place the value of a single life at somewhere between $1 million and $10 million. The commonly used quality-adjusted life year metric offers valuations that range from $50,000 to upward of $300,000 per incremental year of life.
It therefore follows that the trivial sums users of genetic-testing kits might derive from a system of data property rights would likely be dwarfed by the value they would enjoy from improved medical treatments. A strong case can be made that policymakers should prioritize advancing the emergence of new treatments, rather than attempting to ensure that consumers share in the profits generated by those potential advances.
These debates drew increased attention last year, when 23andMe signed a strategic agreement with the pharmaceutical company Almirall to license the rights related to an antibody Almirall had developed. Critics pointed out that 23andMe’s customers, whose data had presumably been used to discover the potential treatment, received no monetary benefits from the deal. Journalist Laura Spinney wrote in The Guardian newspaper:
23andMe, for example, asks its customers to waive all claims to a share of the profits arising from such research. But given those profits could be substantial—as evidenced by the interest of big pharma—shouldn’t the company be paying us for our data, rather than charging us to be tested?
In the deal’s wake, some argued that personal health data should be covered by property rights. A cardiologist quoted in Fortune magazine opined: “I strongly believe that everyone should own their medical data—and they have a right to that.” But this strong belief, however widely shared, ignores important lessons that law and economics has to teach about property rights and the role of contractual freedom.
Why Do We Have Property Rights?
Among the many important features of property rights is that they create “excludability,” the ability of economic agents to prevent third parties from using a given item. In the words of law professor Richard Epstein:
[P]roperty is not an individual conception, but is at root a social conception. The social conception is fairly and accurately portrayed, not by what it is I can do with the thing in question, but by who it is that I am entitled to exclude by virtue of my right. Possession becomes exclusive possession against the rest of the world…
Excludability helps to facilitate the trade of goods, offers incentives to create those goods in the first place, and promotes specialization throughout the economy. In short, property rights create a system of exclusion that supports creating and maintaining valuable goods, services, and ideas.
But property rights are not without drawbacks. Physical or intellectual property can lead to a suboptimal allocation of resources, namely market power (though this effect is often outweighed by increased ex ante incentives to create and innovate). Similarly, property rights can give rise to thickets that significantly increase the cost of amassing complementary pieces of property. Often cited are the historic (but contested) examples of tolling on the Rhine River or the airplane patent thicket of the early 20th century. Finally, strong property rights might also lead to holdout behavior, which can be addressed through top-down tools, like eminent domain, or private mechanisms, like contingent contracts.
In short, though property rights—whether they cover physical or information goods—can offer vast benefits, there are cases where they might be counterproductive. This is probably why, throughout history, property laws have evolved to achieve a reasonable balance between incentives to create goods and to ensure their efficient allocation and use.
Personal Health Data: What Are We Trying to Incentivize?
There are at least three critical questions we should ask about proposals to create property rights over personal health data.
What goods or behaviors would these rights incentivize or disincentivize that are currently over- or undersupplied by the market?
Are goods over- or undersupplied because of insufficient excludability?
Could these rights undermine the efficient use of personal health data?
Much of the current debate centers on data obtained from direct-to-consumer genetic-testing kits. In this context, almost by definition, firms only obtain consumers’ genetic data with their consent. In western democracies, the rights to bodily integrity and to privacy generally make it illegal to administer genetic tests against a consumer or patient’s will. This makes genetic information naturally excludable, so consumers already benefit from what is effectively a property right.
When consumers decide to use a genetic-testing kit, the terms set by the testing firm generally stipulate how their personal data will be used. 23andMe has a detailed policy to this effect, as does Family Tree DNA. In the case of 23andMe, consumers can decide whether their personal information can be used for the purpose of scientific research:
You have the choice to participate in 23andMe Research by providing your consent. … 23andMe Research may study a specific group or population, identify potential areas or targets for therapeutics development, conduct or support the development of drugs, diagnostics or devices to diagnose, predict or treat medical or other health conditions, work with public, private and/or nonprofit entities on genetic research initiatives, or otherwise create, commercialize, and apply this new knowledge to improve health care.
Because this transfer of personal information is hardwired into the provision of genetic-testing services, there is space for contractual bargaining over the allocation of this information. The right to use personal health data will go toward the party that values it most, especially if information asymmetries are weeded out by existing regulations or business practices.
Regardless of data property rights, consumers have a choice: they can purchase genetic-testing services and agree to the provider’s data policy, or they can forgo the services. The service provider cannot obtain the data without entering into an agreement with the consumer. While competition between providers will affect parties’ bargaining positions, and thus the price and terms on which these services are provided, data property rights likely will not.
So, why do consumers transfer control over their genetic data? The main reason is that genetic information is inaccessible and worthless without the addition of genetic-testing services. Consumers must pass through the bottleneck of genetic testing for their genetic data to be revealed and transformed into usable information. It therefore makes sense to transfer the information to the service provider, who is in a much stronger position to draw insights from it. From the consumer’s perspective, the data is not even truly “transferred,” as the consumer had no access to it before the genetic-testing service revealed it. The value of this genetic information is then netted out in the price consumers pay for testing kits.
If personal health data were undersupplied by consumers and patients, testing firms could sweeten the deal and offer them more in return for their data. U.S. copyright law covers original compilations of data, while EU law gives 15 years of exclusive protection to the creators of original databases. Legal protections for trade secrets could also play some role. Thus, firms have some incentives to amass valuable health datasets.
But some critics argue that health data is, in fact, oversupplied. Generally, such arguments assert that agents do not account for the negative privacy externalities suffered by third-parties, such as adverse-selection problems in insurance markets. For example, Jay Pil Choi, Doh Shin Jeon, and Byung Cheol Kim argue:
Genetic tests are another example of privacy concerns due to informational externalities. Researchers have found that some subjects’ genetic information can be used to make predictions of others’ genetic disposition among the same racial or ethnic category. … Because of practical concerns about privacy and/or invidious discrimination based on genetic information, the U.S. federal government has prohibited insurance companies and employers from any misuse of information from genetic tests under the Genetic Information Nondiscrimination Act (GINA).
But if these externalities exist (most of the examples cited by scholars are hypothetical), they are likely dwarfed by the tremendous benefits that could flow from the use of personal health data. Put differently, the assertion that “excessive” data collection may create privacy harms should be weighed against the possibility that the same collection may also lead to socially valuable goods and services that produce positive externalities.
In any case, data property rights would do little to limit these potential negative externalities. Consumers and patients are already free to agree to terms that allow or prevent their data from being resold to insurers. It is not clear how data property rights would alter the picture.
Proponents of data property rights often claim they should be associated with some form of collective bargaining. The idea is that consumers might otherwise fail to receive their “fair share” of genetic-testing firms’ revenue. But what critics portray as asymmetric bargaining power might simply be the market signaling that genetic-testing services are in high demand, with room for competitors to enter the market. Shifting rents from genetic-testing services to consumers would undermine this valuable price signal and, ultimately, diminish the quality of the services.
Perhaps more importantly, to the extent that they limit the supply of genetic information—for example, because firms are forced to pay higher prices for data and thus acquire less of it—data property rights might hinder the emergence of new treatments. If genetic data is a key input to develop personalized medicines, adopting policies that, in effect, ration the supply of that data is likely misguided.
Even if policymakers do not directly put their thumb on the scale, data property rights could still harm pharmaceutical innovation. If existing privacy regulations are any guide—notably, thepreviously mentioned GDPR and CCPA, as well as the federal Health Insurance Portability and Accountability Act (HIPAA)—such rights might increase red tape for pharmaceutical innovators. Privacy regulations routinely limit firms’ ability to put collected data to new and previously unforeseen uses. They also limit parties’ contractual freedom when it comes to gathering consumers’ consent.
At the margin, data property rights would make it more costly for firms to amass socially valuable datasets. This would effectively move the personalized medicine space further away from a world of permissionless innovation, thus slowing down medical progress.
In short, there is little reason to believe health-care data is misallocated. Proposals to reallocate rights to such data based on idiosyncratic distributional preferences threaten to stifle innovation in the name of privacy harms that remain mostly hypothetical.
Data Property Rights and COVID-19
The trade-off between users’ privacy and the efficient use of data also has important implications for the fight against COVID-19. Since the beginning of the pandemic, several promising initiatives have been thwarted by privacy regulations and concerns about the use of personal data. This has potentially prevented policymakers, firms, and consumers from putting information to its optimal social use. High-profile issues have included:
Each of these cases may involve genuine privacy risks. But to the extent that they do, those risks must be balanced against the potential benefits to society. If privacy concerns prevent us from deploying contact tracing or green passes at scale, we should question whether the privacy benefits are worth the cost. The same is true for rules that prohibit amassing more data than is strictly necessary, as is required by data-minimization obligations included in regulations such as the GDPR.
If our initial question was instead whether the benefits of a given data-collection scheme outweighed its potential costs to privacy, incentives could be set such that competition between firms would reduce the amount of data collected—at least, where minimized data collection is, indeed, valuable to users. Yet these considerations are almost completely absent in the COVID-19-related privacy debates, as they are in the broader privacy debate. Against this backdrop, the case for personal data property rights is dubious.
The key question is whether policymakers should make it easier or harder for firms and public bodies to amass large sets of personal data. This requires asking whether personal data is currently under- or over-provided, and whether the additional excludability that would be created by data property rights would offset their detrimental effect on innovation.
Swaths of personal data currently lie untapped. With the proper incentive mechanisms in place, this idle data could be mobilized to develop personalized medicines and to fight the COVID-19 outbreak, among many other valuable uses. By making such data more onerous to acquire, property rights in personal data might stifle the assembly of novel datasets that could be used to build innovative products and services.
On the other hand, when dealing with diffuse and complementary data sources, transaction costs become a real issue and the initial allocation of rightscan matter a great deal. In such cases, unlike the genetic-testing kits example, it is not certain that users will be able to bargain with firms, especially where their personal information is exchanged by third parties.
If optimal reallocation is unlikely, should property rights go to the person covered by the data or to the collectors (potentially subject to user opt-outs)? Proponents of data property rights assume the first option is superior. But if the goal is to produce groundbreaking new goods and services, granting rights to data collectors might be a superior solution. Ultimately, this is an empirical question.
As Richard Epstein puts it, the goal is to “minimize the sum of errors that arise from expropriation and undercompensation, where the two are inversely related.” Rather than approach the problem with the preconceived notion that initial rights should go to users, policymakers should ensure that data flows to those economic agents who can best extract information and knowledge from it.
As things stand, there is little to suggest that the trade-offs favor creating data property rights. This is not an argument for requisitioning personal information or preventing parties from transferring data as they see fit, but simply for letting markets function, unfettered by misguided public policies.
In the wake of its departure from the European Union, the United Kingdom will have the opportunity to enter into new free trade agreements (FTAs) with its international trading partners that lower existing tariff and non-tariff barriers. Achieving major welfare-enhancing reductions in trade restrictions will not be easy. Trade negotiations pose significant political sensitivities, such as those arising from the high levels of protection historically granted certain industry sectors, particularly agriculture.
Nevertheless, the political economy of protectionism suggests that, given deepening globalization and the sudden change in U.K. trade relations wrought by Brexit, the outlook for substantial liberalization of U.K. trade has become much brighter. Below, I address some of the key challenges facing U.K. trade negotiators as they seek welfare-enhancing improvements in trade relations and offer a proposal to deal with novel trade distortions in the least protectionist manner.
Two New Challenges Affecting Trade Liberalization
In addition to traditional trade issues, such as tariff levels and industry sector-specific details, U.K, trade negotiators—indeed, trade negotiators from all nations—will have to confront two relatively new and major challenges that are creating several frictions.
First, behind-the-border anticompetitive market distortions (ACMDs) have largely replaced tariffs as the preferred means of protection in many areas. As I explained in a previous post on this site (citing an article by trade-law scholar Shanker Singham and me), existing trade and competition law have not been designed to address the ACMD problem:
[I]nternational trade agreements simply do not reach a variety of anticompetitive welfare-reducing government measures that create de facto trade barriers by favoring domestic interests over foreign competitors. Moreover, many of these restraints are not in place to discriminate against foreign entities, but rather exist to promote certain favored firms. We dub these restrictions “anticompetitive market distortions” or “ACMDs,” in that they involve government actions that empower certain private interests to obtain or retain artificial competitive advantages over their rivals, be they foreign or domestic. ACMDs are often a manifestation of cronyism, by which politically-connected enterprises successfully pressure government to shield them from effective competition, to the detriment of overall economic growth and welfare. …
As we emphasize in our article, existing international trade rules have been able to reach ACMDs, which include: (1) governmental restraints that distort markets and lessen competition; and (2) anticompetitive private arrangements that are backed by government actions, have substantial effects on trade outside the jurisdiction that imposes the restrictions, and are not readily susceptible to domestic competition law challenge. Among the most pernicious ACMDs are those that artificially alter the cost-base as between competing firms. Such cost changes will have large and immediate effects on market shares, and therefore on international trade flows.
Second, in recent years, the trade remit has expanded to include “nontraditional” issues such as labor, the environment, and now climate change. These concerns have generated support for novel tariffs that could help promote protectionism and harmful trade distortions. As explained in a recent article by the Special Trade Commission advisory group (former senior trade and antitrust officials who have provided independent policy advice to the U.K. government):
[The rise of nontraditional trade issues] has renewed calls for border tax adjustments or dual tariffs on an ex-ante basis. This is in sharp tension with the W[orld Trade Organization’s] long-standing principle of technological neutrality, and focus on outcomes as opposed to discriminating on the basis of the manner of production of the product. The problem is that it is too easy to hide protectionist impulses into concerns about the manner of production, and once a different tariff applies, it will be very difficult to remove. The result will be to significantly damage the liberalisation process itself leading to severe harm to the global economy at a critical time as we recover from Covid-19. The potentially damaging effects of ex ante tariffs will be visited most significantly in developing countries.
Dealing with New Trade Challenges in the Least Protectionist Manner
A broad approach to U.K. trade liberalization that also addresses the two new trade challenges is advanced in a March 2 report by the U.K. government’s Trade and Agricultural Commission (TAC, an independent advisory agency established in 2020). Although addressed primarily to agricultural trade, the TAC report enunciates principles applicable to U.K. trade policy in general, considering the impact of ACMDs and nontraditional issues. Key aspects of the TAC report are summarized in an article by Shanker Singham (the scholar who organized and convened the Special Trade Commission and who also served as a TAC commissioner):
The heart of the TAC report’s import policy contains an innovative proposal that attempts to simultaneously promote a trade liberalising agenda in agriculture, while at the same time protecting the UK’s high standards in food production and ensuring the UK fully complies with WTO rules on animal and plant health, as well as technical regulations that apply to food trade.
This proposal includes a mechanism to deal with some of the most difficult issues in agricultural trade which relate to animal welfare, environment and labour rules. The heart of this mechanism is the potential for the application of a tariff in cases where an aggrieved party can show that a trading partner is violating agreed standards in an FTA.
The result of the mechanism is a tariff based on the scale of the distortion which operates like a trade remedy. The mechanism can also be used offensively where a country is preventing market access by the UK as a result of the market distortion, or defensively where a distortion in a foreign market leads to excess exports from that market. …
[T]he tariff would be calibrated to the scale of the distortion and would apply only to the product category in which the distortion is occurring. The advantage of this over a more conventional trade remedy is that it is based on cost as opposed to price and is designed to remove the effects of the distorting activity. It would not be applied on a retaliatory basis in other unrelated sectors.
In exchange for this mechanism, the UK commits to trade liberalisation and, within a reasonable timeframe, zero tariffs and zero quotas. This in turn will make the UK’s advocacy of higher standards in international organisations much more credible, another core TAC proposal.
The TAC report also notes that behind the border barriers and anti-competitive market distortions (“ACMDs”) have the capacity to damage UK exports and therefore suggests a similar mechanism or set of disciplines could be used offensively. Certainly, where the ACMD is being used to protect a particular domestic industry, using the ACMD mechanism to apply a tariff for the exports of that industry would help, but this may not apply where the purpose is protective, and the industry does not export much.
I would argue that in this case, it would be important to ensure that UK FTAs include disciplines on these ACMDs which if breached could lead to dispute settlement and the potential for retaliatory tariffs for sectors in the UK’s FTA partner that do export. This is certainly normal WTO-sanctioned practice, and could be used here to encourage compliance. It is clear from the experience in dealing with countries that engage in ACMDs for trade or competition advantage that unless there are robust disciplines, mere hortatory language would accomplish little or nothing.
But this sort of mechanism with its concomitant commitment to freer trade has much wider potential application than just UK agricultural trade policy. It could also be used to solve a number of long standing trade disputes such as the US-China dispute, and indeed the most vexed questions in trade involving environment and climate change in ways that do not undermine the international trading system itself.
This is because the mechanism is based on an ex post tariff as opposed to an ex ante one which contains within it the potential for protectionism, and is prone to abuse. Because the tariff is actually calibrated to the cost advantage which is secured as a result of the violation of agreed international standards, it is much more likely that it will be simply limited to removing this cost advantage as opposed to becoming a punitive measure that curbs ordinary trade flows.
It is precisely this type of problem solving and innovative thinking that the international trading system needs as it faces a range of challenges that threaten liberalisation itself and the hard-won gains of the post war GATT/WTO system itself. The TAC report represents UK leadership that has been sought after since the decision to leave the EU. It has much to commend it.
Assessment and Conclusion
Even when administered by committed free traders, real-world trade liberalization is an exercise in welfare optimization, subject to constraints imposed by the actions of organized interest groups expressed through the political process. The rise of new coalitions (such as organizations committed to specified environmental goals, including limiting global warming) and the proliferation of ADMCs further complicates the trade negotiation calculus.
Fortunately, recognizing the “reform moment” created by Brexit, free trade-oriented experts (in particular, the TAC, supported by the Special Trade Commission) have recommended that the United Kingdom pursue a bold move toward zero tariffs and quotas. Narrow exceptions to this policy would involve after-the-fact tariffications to offset (1) the distortive effects of ACMDs and (2) derogation from rules embodying nontraditional concerns, such as environmental commitments. Such tariffications would be limited and cost-based, and, as such, welfare-superior to ex ante tariffs calibrated to price.
While the details need to be worked out, the general outlines of this approach represent a thoughtful and commendable market-oriented effort to secure substantial U.K. trade liberalization, subject to unavoidable constraints. More generally, one would hope that other jurisdictions (including the United States) take favorable note of this development as they generate their own trade negotiation policies. Stay tuned.
The slew of recent antitrust cases in the digital, tech, and pharmaceutical industries has brought significant attention to the investments many firms in these industries make in “intangibles,” such as software and research and development (R&D).
Intangibles are recognized to have an important effect on a company’s (and the economy’s) performance. For example, Jonathan Haskel and Stian Westlake (2017) highlight the increasingly large investments companies have been making in things like programming in-house software, organizational structures, and, yes, a firm’s stock of knowledge obtained through R&D. They also note the considerable difficulties associated with valuing both those investments and the outcomes (such as new operational procedures, a new piece of software, or a new patent) of those investments.
This difficulty in valuing intangibles has gone somewhat under the radar until relatively recently. There has been progress in valuing them at the aggregate level (see Ellen R. McGrattan and Edward C. Prescott (2008)) and in examining their effects at the level of individual sectors (see McGrattan (2020)). It remains difficult, however, to ascertain the value of the entire stock of intangibles held by an individual firm.
There is a method to estimate the value of one component of a firm’s stock of intangibles. Specifically, the “stock of knowledge obtained through research and development” is likely to form a large proportion of most firms’ intangibles. Treating R&D as a “stock” might not be the most common way to frame the subject, but it does have an intuitive appeal.
What a firm knows (i.e., its intellectual property) is an input to its production process, just like physical capital. The most direct way for firms to acquire knowledge is to conduct R&D, which adds to its “stock of knowledge,” as represented by its accumulated stock of R&D. In this way, a firm’s accumulated investment in R&D then becomes a stock of R&D that it can use in production of whatever goods and services it wants. Thankfully, there is a relatively straightforward (albeit imperfect) method to measure a firm’s stock of R&D that relies on information obtained from a company’s accounts, along with a few relatively benign assumptions.
This method (set out by Bronwyn Hall (1990, 1993)) uses a firm’s annual expenditures on R&D (a separate line item in most company accounts) in the “perpetual inventory” method to calculate a firm’s stock of R&D in any particular year. This perpetual inventory method is commonly used to estimate a firm’s stock of physical capital, so applying it to obtain an estimate of a firm’s stock of knowledge—i.e., their stock of R&D—should not be controversial.
All this method requires to obtain a firm’s stock of R&D for this year is knowledge of a firm’s R&D stock and its investment in R&D (i.e., its R&D expenditures) last year. This year’s R&D stock is then the sum of those R&D expenditures and its undepreciated R&D stock that is carried forward into this year.
As some R&D expenditure datasets include, for example, wages paid to scientists and research workers, this is not exactly the same as calculating a firm’s physical capital stock, which would only use a firm’s expenditures on physical capital. But given that paying people to perform R&D also adds to a firm’s stock of R&D through the increased knowledge and expertise of their employees, it seems reasonable to include this in a firm’s stock of R&D.
As mentioned previously, this method requires making certain assumptions. In particular, it is necessary to assume a rate of depreciation of the stock of R&D each period. Hall suggests a depreciation of 15% per year (compared to the roughly 7% per year for physical capital), and estimates presented by Hall, along with Wendy Li (2018), suggest that, in some industries, the figure can be as high as 50%, albeit with a wide range across industries.
The other assumption required for this method is an estimate of the firm’s initial level of stock. To see why such an assumption is necessary, suppose that you have data on a firm’s R&D expenditure running from 1990-2016. This means that you can calculate a firm’s stock of R&D for each year once you have their R&D stock in the previous year via the formula above.
When calculating the firm’s R&D stock for 2016, you need to know what their R&D stock was in 2015, while to calculate their R&D stock for 2015 you need to know their R&D stock in 2014, and so on backward until you reach the first year for which you have data: in this, case 1990.
However, working out the firm’s R&D stock in 1990 requires data on the firm’s R&D stock in 1989. The dataset does not contain any information about 1989, nor the firm’s actual stock of R&D in 1990. Hence, it is necessary to make an assumption regarding the firm’s stock of R&D in 1990.
There are several different assumptions one can make regarding this “starting value.” You could assume it is just a very small number. Or you can assume, as per Hall, that it is the firm’s R&D expenditure in 1990 divided by the sum of the R&D depreciation and average growth rates (the latter being taken as 8% per year by Hall). Note that, given the high depreciation rates for the stock of R&D, it turns out that the exact starting value does not matter significantly (particularly in years toward the end of the dataset) if you have a sufficiently long data series. At a 15% depreciation rate, more than 50% of the initial value disappears after five years.
Although there are other methods to measure a firm’s stock of R&D, these tend to provide less information or rely on stronger assumptions than the approach described above does. For example, sometimes a firm’s stock of R&D is measured using a simple count of the number of patents they hold. However, this approach does not take into account the “value” of a patent. Since, by definition, each patent is unique (with differing number of years to run, levels of quality, ability to be challenged or worked around, and so on), it is unlikely to be appropriate to use an “average value of patents sold recently” to value it. At least with the perpetual inventory method described above, a monetary value for a firm’s stock of R&D can be obtained.
The perpetual inventory method also provides a way to calculate market shares of R&D in R&D-intensive industries, which can be used alongside current measures. This would be akin to looking at capacity shares in some manufacturing industries. Of course, using market shares in R&D industries can be fraught with issues, such as whether it is appropriate to use a backward-looking measure to assess competitive constraints in a forward-looking industry. This is why any investigation into such industries should also look, for example, at a firm’s research pipeline.
Naturally, this only provides for the valuation of the R&D stock and says nothing about valuing other intangibles that are likely to play an important role in a much wider range of industries. Nonetheless, this method could provide another means for competition authorities to assess the current and historical state of R&D stocks in industries in which R&D plays an important part. It would be interesting to see what firms’ shares of R&D stocks look like, for example, in the pharmaceutical and tech industries.
[TOTM: The following is part of a digital symposium by TOTM guests and authors on the legal and regulatory issues that arose during Ajit Pai’s tenure as chairman of the Federal Communications Commission. The entire series of posts is available here.
Daniel Lyons is a professor of law at Boston College Law School and a visiting fellow at the American Enterprise Institute.]
For many, the chairmanship of Ajit Pai is notable for its many headline-grabbing substantive achievements, including the Restoring Internet Freedom order, 5G deployment, and rural buildout—many of which have been or will be discussed in this symposium. But that conversation is incomplete without also acknowledging Pai’s careful attention to the basic blocking and tackling of running a telecom agency. The last four years at the Federal Communications Commission were marked by small but significant improvements in how the commission functions, and few are more important than the chairman’s commitment to transparency.
Draft Orders: The Dark Ages Before 2017
This commitment is most notable in Pai’s revisions to the open meeting process. From time immemorial, the FCC chairman would set the agenda for the agency’s monthly meeting by circulating draft orders to the other commissioners three weeks in advance. But the public was deliberately excluded from that distribution list. During this period, the commissioners would read proposals, negotiate revisions behind the scenes, then meet publicly to vote on final agency action. But only after the meeting—often several days later—would the actual text of the order be made public.
The opacity of this process had several adverse consequences. Most obviously, the public lacked details about the substance of the commission’s deliberations. The Government in the Sunshine Act requires the agency’s meetings to be made public so the American people know what their government is doing. But without the text of the orders under consideration, the public had only a superficial understanding of what was happening each month. The process was reminiscent of House Speaker Nancy Pelosi’s famous gaffe that Congress needed to “pass the [Affordable Care Act] bill so that you can find out what’s in it.” During the high-profile deliberations over the Open Internet Order in 2015, then-Commissioner Pai made significant hay over this secrecy, repeatedlyposting pictures of himself with the 300-plus-page order on Twitter with captions such as “I wish the public could see what’s inside” and “the public still can’t see it.”
Other consequences were less apparent, but more detrimental. Because the public lacked detail about key initiatives, the telecom media cycle could be manipulated by strategic leaks designed to shape the final vote. As then-Commissioner Pai testified to Congress in 2016:
[T]he public gets to see only what the Chairman’s Office deigns to release, so controversial policy proposals can be (and typically are) hidden in a wave of media adulation. That happened just last month when the agency proposed changes to its set-top-box rules but tried to mislead content producers and the public about whether set-top box manufacturers would be permitted to insert their own advertisements into programming streams.
Sometimes, this secrecy backfired on the chairman, such as when net-neutrality advocates used media pressure to shape the 2014 Open Internet NPRM. Then-Chairman Tom Wheeler’s proposed order sought to follow the roadmap laid out by the D.C. Circuit’s Verizon decision, which relied on Title I to prevent ISPs from blocking content or acting in a “commercially unreasonable manner.” Proponents of a more aggressive Title II approach leaked these details to the media in a negative light, prompting tech journalists and advocates to unleash a wave of criticism alleging the chairman was “killing off net neutrality to…let the big broadband providers double charge.” In full damage control mode, Wheeler attempted to “set the record straight” about “a great deal of misinformation that has recently surfaced regarding” the draft order. But the tempest created by these leaks continued, pressuring Wheeler into adding a Title II option to the NPRM—which, of course, became the basis of the 2015 final rule.
This secrecy also harmed agency bipartisanship, as minority commissioners sometimes felt as much in the dark as the general public. As Wheeler scrambled to address Title II advocates’ concerns, he reportedly shared revised drafts with fellow Democrats but did not circulate the final draft to Republicans until less than 48 hours before the vote—leading Pai to remark cheekily that “when it comes to the Chairman’s latest net neutrality proposal, the Democratic Commissioners are in the fast lane and the Republican Commissioners apparently are being throttled.” Similarly, Pai complained during the 2014 spectrum screen proceeding that “I was not provided a final version of the item until 11:50 p.m. the night before the vote and it was a substantially different document with substantively revised reasoning than the one that was previously circulated.”
Letting the Sunshine In
Eliminating this culture of secrecy was one of Pai’s first decisions as chairman. Less than a month after assuming the reins at the agency, he announced that the FCC would publish all draft items at the same time they are circulated to commissioners, typically three weeks before each monthly meeting. While this move was largely applauded, some were concerned that this transparency would hamper the agency’s operations. One critic suggested that pre-meeting publication would hamper negotiations among commissioners: “Usually, drafts created negotiating room…Now the chairman’s negotiating position looks like a final position, which undercuts negotiating ability.” Another, while supportive of the change, was concerned that the need to put a draft order in final form well before a meeting might add “a month or more to the FCC’s rulemaking adoption process.”
Fortunately, these concerns proved to be unfounded. The Pai era proved to be the most productive in recent memory, averaging just over six items per month, which is double the average number under Pai’s immediate predecessors. Moreover, deliberations were more bipartisan than in years past: Nathan Leamer notes that 61.4% of the items adopted by the Pai FCC were unanimous and 92.1% were bipartisan—compared to 33% and 69.9%, respectively, under Chairman Wheeler.
This increased transparency also improved the overall quality of the agency’s work product. In a 2018 speech before the Free State Foundation, Commissioner Mike O’Rielly explained that “drafts are now more complete and more polished prior to the public reveal, so edits prior to the meeting are coming from Commissioners, as opposed to there being last minute changes—or rewrites—from staff or the Office of General Counsel.” Publishing draft orders in advance allows the public to flag potential issues for revision before the meeting, which improves the quality of the final draft and reduces the risk of successful post-meeting challenges via motions for reconsideration or petitions for judicial review. O’Rielly went on to note that the agency seemed to be running more efficiently as well, as “[m]eetings are targeted to specific issues, unnecessary discussions of non-existent issues have been eliminated, [and] conversations are more productive.”
While pre-meeting publication was the most visible improvement to agency transparency, there are other initiatives also worth mentioning.
Limiting Editorial Privileges: Chairman Pai dramatically limited “editorial privileges,” a longtime tradition that allowed agency staff to make changes to an order’s text even after the final vote. Under Pai, editorial privileges were limited to technical and conforming edits only; substantive changes were not permitted unless they were proposed directly by a commissioner and only in response to new arguments offered by a dissenting commissioner. This reduces the likelihood of a significant change being introduced outside the public eye.
Fact Sheet: Adopting a suggestion of Commissioner Mignon Clyburn, Pai made it a practice to preface each published draft order with a one-page fact sheet that summarized the item in lay terms, as much as possible. This made the agency’s monthly work more accessible and transparent to members of the public who lacked the time to wade through the full text of each draft order.
Online Transparency Dashboard: Pai also launched an online dashboard on the agency’s website. This dashboard offers metrics on the number of items currently pending at the commission by category, as well as quarterly trends over time.
Restricting Comment on Upcoming Items: As a gesture of respect to fellow commissioners, Pai committed that the chairman’s office would not brief the press or members of the public, or publish a blog, about an upcoming matter before it was shared with other commissioners. This was another step toward reducing the strategic use of leaks or selective access to guide the tech media news cycle.
And while it’s technically not a transparency reform, Pai also deserves credit for his willingness to engage the public as the face of the agency. He was the first FCC commissioner to join Twitter, and throughout his chairmanship he maintained an active social media presence that helped personalize the agency and make it more accessible. His commitment to this channel is all the more impressive when one considers the way some opponents used these platforms to hurl a steady stream of hateful, often violent and racist invective at him during his tenure.
Pai deserves tremendous credit for spearheading these efforts to bring the agency out of the shadows and into the sunlight. Of course, he was not working alone. Pai shares credit with other commissioners and staff who supported transparency and worked to bring these policies to fruition, most notably former Commissioner O’Rielly, who beat a steady drum for process reform throughout his tenure.
We do not yet know who President Joe Biden will appoint as Pai’s successor. It is fair to assume that whomever is chosen will seek to put his or her own stamp on the agency. But let’s hope that enhanced transparency and the other process reforms enacted over the past four years remain a staple of agency practice moving forward. They may not be flashy, but they may prove to be the most significant and long-lasting impact of the Pai chairmanship.
[TOTM: The following is part of a digital symposium by TOTM guests and authors on the legal and regulatory issues that arose during Ajit Pai’s tenure as chairman of the Federal Communications Commission. The entire series of posts is available here.
Joshua D. Wright is university professor and executive director of the Global Antitrust Institute at George Mason University’s Scalia Law School. He served as a commissioner of the Federal Trade Commission from 2013 through 2015.]
Much of this symposium celebrates Ajit’s contributions as chairman of the Federal Communications Commission and his accomplishments and leadership in that role. And rightly so. But Commissioner Pai, not just Chairman Pai, should also be recognized.
I first met Ajit when we were both minority commissioners at our respective agencies: the FCC and Federal Trade Commission. Ajit had started several months before I was confirmed. I watched his performance in the minority with great admiration. He reached new heights when he shifted from minority commissioner to chairman, and the accolades he will receive for that work are quite appropriate. But I want to touch on his time as a minority commissioner at the FCC and how that should inform the retrospective of his tenure.
Let me not bury the lead: Ajit Pai has been, in my view, the most successful, impactful minority commissioner in the history of the modern regulatory state. And it is that success that has led him to become the most successful and impactful chairman, too.
I must admit all of this success makes me insanely jealous. My tenure as a minority commissioner ran in parallel with Ajit. We joked together about our fierce duel to be the reigning king of regulatory dissents. We worked together fighting against net neutrality. We compared notes on dissenting statements and opinions. I tried to win our friendly competition. I tried pretty hard. And I lost; worse than I care to admit. But we had fun. And I very much admired the combination of analytical rigor, clarity of exposition, and intellectual honesty in his work. Anyway, the jealousy would be all too much if he weren’t also a remarkable person and friend.
The life of a minority commissioner can be a frustrating one. Like Sisyphus, the minority commissioner often wakes up each day to roll the regulatory (well, in this case, deregulatory) boulder up the hill, only to watch it roll down. And then do it again. And again. At times, it is an exhausting series of jousting matches with the windmills of Washington bureaucracy. It is not often that a minority commissioner has as much success as Commissioner Pai did: dissenting opinions ultimately vindicated by judicial review; substantive victories on critical policy issues; paving the way for institutional and procedural reforms.
It is one thing to write a raging dissent about how the majority has lost all principles. Fire and brimstone come cheap when there aren’t too many consequences to what you have to say. Measure a man after he has been granted power and a chance to use it, and only then will you have a true test of character. Ajit passes that test like few in government ever have.
This is part of what makes Ajit Pai so impressive. I have seen his work firsthand. The multitude of successes Ajit achieved as Chairman Pai were predictable, precisely because Commissioner Pai told the world exactly where he stood on important telecommunications policy issues, the reasons why he stood there, and then, well, he did what he said he would. The Pai regime was much more like a Le’Veon Bell run, between the tackles, than a no-look pass from Patrick Mahomes to Tyreek Hill. Commissioner Pai shared his playbook with the world; he told us exactly where he was going to run the ball. And then Chairman Pai did exactly that. And neither bureaucratic red tape nor political pressure—or even physical threat—could stop him.
Here is a small sampling of his contributions, many of them building on groundwork he laid in the minority:
Focus on Economic Analysis
One of Chairman Pai’s most important contributions to the FCC is his work to systematically incorporate economic analysis into FCC decision-making. The triumph of this effort was establishing the Office of Economic Analysis (OEA) in 2018. The OEA focus on conducting economic analyses of the costs, benefits, and economic impacts of the commission’s proposed rules will be a critical part of agency decision-making from here on out. This act alone would form a legacy any agency head could easily rest their laurels on. The OEA’s work will shape the agency for decades and ensure that agency decisions are made with the oversight economics provides.
This is a hard thing to do; just hiring economists is not enough. Structure matters. How economists get information to decision-makers determines if it will be taken seriously. To this end, Ajit has taken all the lessons from what has made the economists at the FTC so successful—and the lessons from the structural failures at other agencies—and applied them at the FCC.
Structural independence looks like “involving economists on cross-functional teams at the outset and allowing the economics division to make its own, independent recommendations to decision-makers.” And it is necessary for economics to be taken seriously within an agency structure. Ajit has assured that FCC decision-making will benefit from economic analysis for years to come.
Narrowing the Digital Divide
Chairman Pai made helping the disadvantaged get connected to the internet and narrowing the digital divide the top priorities during his tenure. And Commissioner Pai was fighting for this long before the pandemic started.
As businesses, schools, work, and even health care have moved online, the need to get Americans connected with high-speed broadband has never been greater. Under Pai’s leadership, the FCC has removed bureaucratic barriers and provided billions in funding to facilitate rural broadband buildout. We are talking about connections to some 700,000 rural homes and businesses in 45 states, many of whom are gaining access to high-speed internet for the first time.
Ajit has also made sure to keep an eye out for the little guy, and communities that have been historically left behind. Tribal communities, particularly in the rural West, have been a keen focus of his, as he knows all-too-well the difficulties and increased costs associated with servicing those lands. He established programs to rebuild and expand networks in the Virgin Islands and Puerto Rico in an effort to bring the islands to parity with citizens living on the mainland.
You need not take my word for it; he really does talk about this all the time. As he said in a speech at the National Tribal Broadband Summit: “Since my first day in this job, I’ve said that closing the digital divide was my top priority. And as this audience knows all too well, nowhere is that divide more pronounced than on Tribal lands.“ That work is not done; it is beyond any one person. But Ajit should be recognized for his work bridging the divide and laying the foundation for future gains.
And again, this work started as minority commissioner. Before he was chairman, Pai proposed projects for rural broadband development; he frequently toured underserved states and communities; and he proposed legislation to offer the 21st century promise to economically depressed areas of the country. Looking at Chairman Pai is only half the picture.
Keeping Americans Connected
One would not think that the head of the Federal Communications Commission would be a leader on important health-care issues, but Ajit has made a real difference here too. One of his major initiatives has been the development of telemedicine solutions to expand access to care in critical communities.
Beyond encouraging buildout of networks in less-connected areas, Pai’s FCC has also worked to allocate funding for health-care providers and educational institutions who were navigating the transition to remote services. He ensured that health-care providers’ telecommunications and information services were funded. He worked with the U.S. Department of Education to direct funds for education stabilization and allowed schools to purchase additional bandwidth. And he granted temporary additional spectrum usage to broadband providers to meet the increased demand upon our nation’s networks. Oh, and his Keep Americans Connected Pledge gathered commitment from more than 800 companies to ensure that Americans would not lose their connectivity due to pandemic-related circumstances. As if the list were not long enough, Congress’ January coronavirus relief package will ensure that these and other programs, like Rip and Replace, will remain funded for the foreseeable future.
I might sound like I am beating a dead horse here, but the seeds of this, too, were laid in his work in the minority. Here he is describing his work in a 2015 interview, as a minority commissioner:
My own father is a physician in rural Kansas, and I remember him heading out in his car to visit the small towns that lay 40 miles or more from home. When he was there, he could provide care for people who would otherwise never see a specialist at all. I sometimes wonder, back in the 1970s and 1980s, how much easier it would have been on patients, and him, if broadband had been available so he could provide healthcare online.
Agency Transparency and Democratization
Many minority commissioners like to harp on agency transparency. Some take a different view when they are in charge. But Ajit made good on his complaints about agency transparency when he became Chairman Pai. He did this through circulating draft items well in advance of monthly open meetings, giving people the opportunity to know what the agency was voting on.
You used to need a direct connection with the FCC to even be aware of what orders were being discussed—the worst of the D.C. swamp—but now anyone can read about the working items, in clear language.
These moves toward a more transparent, accessible FCC dispel the impression that the agency is run by Washington insiders who are disconnected from the average person. The meetings may well be dry and technical—they really are—but Chairman Pai’s statements are not only good-natured and humorous, but informative and substantive. The public has been well-served by his efforts here.
Incentivizing Innovation and Next-Generation Technologies
Chairman Pai will be remembered for his encouragement of innovation. Under his chairmanship, the FCC discontinued rules that unnecessarily required carriers to maintain costly older, lower-speed networks and legacy voice services. It streamlined the discontinuance process for lower-speed services if the carrier is already providing higher-speed service or if no customers are using the service. It also okayed streamlined notice following force majeure events like hurricanes to encourage investment and deployment of newer, faster infrastructure and services following destruction of networks. The FCC also approved requests by companies to provide high-speed broadband through non-geostationary orbit satellite constellations and created a streamlined licensing process for small satellites to encourage faster deployment.
This is what happens when you get a tech nerd at the head of an agency he loves and cares for. A serious commitment to good policy with an eye toward the future.
Restoring Internet Freedom
This is a pretty sensitive one for me. You hear less about it now, other than some murmurs from the Biden administration about changing it, but the debate over net neutrality got nasty and apocalyptic.
It was everywhere; people saying Chairman Pai would end the internet as we know it. The whole web blacked out for a day in protest. People mocked up memes showing a 25 cent-per-Google-search charge. And as a result of this over-the-top rhetoric, my friend, and his family, received death threats.
That is truly beyond the pale. One could not blame anyone for leaving public service in such an environment. I cannot begin to imagine what I would have done in Ajit’s place. But Ajit took the threats on his life with grace and dignity, never lost his sense of humor, and continued to serve the public dutifully with remarkable courage. I think that says a lot about him. And the American public is lucky to have benefited from his leadership.
Now, for the policy stuff. Though it should go without saying, thelight-touch framework Chairman Pai returned us to—as opposed to the public utility one—will ensure that the United States maintains its leading position on technological innovation in 5G networks and services. The fact that we have endured COVID—and the massive strain on the internet it has caused—with little to no noticeable impact on internet services is all the evidence you need he made the right choice. Ajit has rightfully earned the title of the “5G Chairman.”
I cannot give Ajit all the praise he truly deserves without sounding sycophantic, or bribed. There are any number of windows into his character, but one rises above the rest for me. And I wanted to take the extra time to thank Ajit for it.
Every year, without question, no matter what was going on—even as chairman—Ajit would come to my classes and talk to my students. At length. In detail. And about any subject they wished. He stayed until he answered all of their questions. If I didn’t politely shove him out of the class to let him go do his real job, I’m sure he would have stayed until the last student left. And if you know anything about how to judge a person’s character, that will tell you all you need to know.
[TOTM: The following is part of a digital symposium by TOTM guests and authors on the legal and regulatory issues that arose during Ajit Pai’s tenure as chairman of the Federal Communications Commission. The entire series of posts is available here.
Robert McDowell is a partner with Cooley LLP and a former commissioner of the Federal Communications Commission.]
Many thanks to Geoffrey Manne for this opportunity to memorialize a few thoughts I have about Ajit’s service on the Federal Communications Commission. My remarks will be more about Ajit as a person rather than the substance and long laundry list of his accomplishments as chair. Others will do that, I’m sure.
The first memory I have of meeting Ajit V. Pai reaches back to 2007, after I had served on the commission for about a year. In one of my regular meetings with then-FCC General Counsel Sam Feder, Sam was very proud to introduce me to his new hire. I saw before me an eager and polite young man with a million-watt smile. After reviewing his resume, I immediately recognized that he was already quite accomplished, despite his tender young age: the son of immigrants; hailing from the heart of America as the native of a small town in Kansas; Harvard undergrad with academic distinction; a J.D. from the University of Chicago – also with academic distinction; public service in all three branches of the federal government; and much more.
Wow! “This kid has a very bright future,” I thought. And history proved that, for once, I was right. In fact, Ajit’s appointment to the FCC was one key reason why I decided to step down from the commission before the expiration of my term. But more on that later. As I got to know Ajit more over the years, I learned that he was super bright (not everyone from Harvard is, by the way), exudes a sunny personality and is a principled, common-sense, and compassionate conservative who was dedicated to the rule of law, respecting the wisdom of markets, and serving the public interest.
Like my own Forrest Gump dumb luck in getting to the FCC, Ajit’s path to a seat on the commission came about in part by happenstance. With Commissioner Meredith Attwell Baker’s surprise departure in the spring of 2011, a rare opportunity was suddenly created. Also, like my journey to the commission, a blizzard of names swirled about regarding who might be appointed to that seat by President Barack Obama. Ajit’s name was among the least-known when compared to higher-profile candidates. But once he was nominated, I was excited to reach out to him and offer briefings and anything else he needed to help him prepare for the gauntlet of the Senate confirmation process. It was inspiring to attend his confirmation hearing and to see his immigrant parents smiling so proudly at their talented and accomplished son. Little did either one of us know that his confirmation would be held by senators due to an FCC proceeding that had nothing to do with him. (There’s some irony regarding which proceeding that was, but I digress. Ajit will understand.)
So many months passed by while he waited and waited…and waited for the holds to be lifted so he could be confirmed. In fact, his confirmation lingered for so long it was unclear if he would ever be confirmed. I know that was incredibly frustrating for him and his beautiful family. But eventually, providence smiled upon him and he became my colleague on the commission. Largely ignored by the media, Ajit made history by becoming the first Indian-American appointed to the FCC. In fact, he may be the first, or one of very few, commissioners who was a first-generation American. This wonderful accomplishment should have been celebrated more. But I sense the silence regarding the positive ground-breaking that Ajit achieved in this regard bothers me more than him. And that tells you a lot about his virtues; virtues which would serve him well after becoming chairman.
I always ran to work when I was a commissioner for seven years. I loved that job and I licked the plate clean every day. Upon his swearing-in as my colleague, I could tell instantly that Ajit loved his job as much as I loved mine. Not all commissioners love being commissioners, which I could never understand. With how many jobs are you truly independent and able to touch and improve the daily lives of every American? Ajit understood the value of the gift of being a commissioner right away. While he and I were in the minority on the FCC during the Obama administration, the public should know that the majority of FCC votes back then were bipartisan. But there are a few very important votes which are not unanimous, and those of us in the minority have a sacred role to play: that of respectful but passionate dissenter to help inform the public, the appellate courts, Congress, the White House, and future FCCs about the better path as we saw it.
It was clear that “The Kid,” as I once thought of him, could write fantastic dissents. After a few months of witnessing his talents, and after the 2012 elections, I began to think: “The role of Loyal Opposition will be in fine hands if I step down after nearly seven years. Maybe it is time to let ‘The Kid’ write these dang dissents for the next four years, and then I can be released back into my natural habitat: the private sector.” And so, my thought process evolved. Accordingly, May 17, 2013, the day I left office, Ajit V. Pai became the “senior Republican on the FCC.” Little did either one of us know at the time that that move, combined with a surprise election result in 2016, would pave the path for him to become chairman of the FCC.
Ajit and his team accomplished so much in his four years as chairman. I’ll let others enumerate those accomplishments, but I am delighted to see the eye-popping, jaw-dropping and record-smashing success of the C-Band auction serve as a VERY LOUD and beautiful exclamation point on his legacy. Keep in mind that many of the “best and brightest,” including U.S. Senators and two of his FCC colleagues, said the C-Band auction should either never happen or would be more successful if it had been shaped their way. But the markets have spoken, and the C-Band auction has broken a record of success that may not be surpassed for many years. Ajit, his colleagues Mike O’Rielly and Brendan Carr, and his entire team should be very proud of their handiwork.
In closing, I want to take readers briefly backstage with this still-young man. The wind in his sails is his beautiful bride, Janine. That’s Dr. Janine Van Lancker, a highly accomplished physician. Together with their two beautiful children, they have been Ajit’s Rock of Gibraltar, especially in the most trying of times. I won’t dignify the criminals who threatened their lives by going into detail, but no family of a public servant should ever have to endure what they did. Ever. But the trauma that came with serving did not diminish Ajit’s and Janine’s natural inclination to think of others. While I was on my erstwhile COVID-deathbed last March, Ajit graciously texted me, asking about my condition and offering the help and support of his personal physician, his bride Janine. If you remember nothing else about this blog post, please remember that.
Well done, “Kid from Kansans.” Well done. And thank you.
[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.