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In mid-November, the 50 state attorneys general (AGs) investigating Google’s advertising practices expanded their antitrust probe to include the company’s search and Android businesses. Texas Attorney General Ken Paxton, the lead on the case, was supportive of the development, but made clear that other states would manage the investigations of search and Android separately. While attorneys might see the benefit in splitting up search and advertising investigations, platforms like Google need to be understood as a coherent whole. If the state AGs case is truly concerned with the overall impact on the welfare of consumers, it will need to be firmly grounded in the unique economics of this platform.

Back in September, 50 state AGs, including those in Washington, DC and Puerto Rico, announced an investigation into Google. In opening the case, Paxton said that, “There is nothing wrong with a business becoming the biggest game in town if it does so through free market competition, but we have seen evidence that Google’s business practices may have undermined consumer choice, stifled innovation, violated users’ privacy, and put Google in control of the flow and dissemination of online information.” While the original document demands focused on Google’s “overarching control of online advertising markets and search traffic,” reports since then suggest that the primary investigation centers on online advertising.

Defining the market

Since the market definition is the first and arguably the most important step in an antitrust case, Paxton has tipped his hand and shown that the investigation is converging on the online ad market. Yet, he faltered when he wrote in The Wall Street Journal that, “Each year more than 90% of Google’s $117 billion in revenue comes from online advertising. For reference, the entire market for online advertising is around $130 billion annually.” As Patrick Hedger of the Competitive Enterprise Institute was quick to note, Paxton cited global revenue numbers and domestic advertising statistics. In reality, Google’s share of the online advertising market in the United States is 37 percent and is widely expected to fall.

When Google faced scrutiny by the Federal Trade Commission in 2013, the leaked staff report explained that “the Commission and the Department of Justice have previously found online ‘search advertising’ to be a distinct product market.” This finding, which dates from 2007, simply wouldn’t stand today. Facebook’s ad platform was launched in 2007 and has grown to become a major competitor to Google. Even more recently, Amazon has jumped into the space and independent platforms like Telaria, Rubicon Project, and The Trade Desk have all made inroads. In contrast to the late 2000s, advertisers now use about four different online ad platforms.

Moreover, the relationship between ad prices and industry concentration is complicated. In traditional economic analysis, fewer suppliers of a product generally translates into higher prices. In the online ad market, however, fewer advertisers means that ad buyers can efficiently target people through keywords. Because advertisers have access to superior information, research finds that more concentration tends to lead to lower search engine revenues. 

The addition of new fronts in the state AGs’ investigation could spell disaster for consumers. While search and advertising are distinct markets, it is the act of tying the two together that makes platforms like Google valuable to users and advertisers alike. Demand is tightly integrated between the two sides of the platform. Changes in user and advertiser preferences have far outsized effects on the overall platform value because each side responds to the other. If users experience an increase in price or a reduction in quality, then they will use the platform less or just log off completely. Advertisers see this change in users and react by reducing their demand for ad placements as well. When advertisers drop out, the total amount of content also recedes and users react once again. Economists call these relationships demand interdependencies. The demand on one side of the market is interdependent with demand on the other. Research on magazines, newspapers, and social media sites all support the existence of demand interdependencies. 

Economists David Evans and Richard Schmalensee, who were cited extensively in the Supreme Court case Ohio v. American Express, explained the importance of their integration into competition analysis, “The key point is that it is wrong as a matter of economics to ignore significant demand interdependencies among the multiple platform sides” when defining markets. If they are ignored, then the typical analytical tools will yield incorrect assessments. Understanding these relationships makes the investigation all that more difficult.

The limits of remedies

Most likely, this current investigation will follow the trajectory of Microsoft in the 1990s when states did the legwork for a larger case brought by the Department of Justice (DoJ). The DoJ already has its own investigation into Google and will probably pull together all of the parties for one large suit. Google is also subject to a probe by the House of Representatives Judiciary Committee as well. What is certain is that Google will be saddled with years of regulatory scrutiny, but what remains unclear is what kind of changes the AGs are after.

The investigation might aim to secure behavioral changes, but these often come with a cost in platform industries. The European Commission, for example, got Google to change its practices with its Android operating system for mobile phones. Much like search and advertising, the Android ecosystem is a platform with cross subsidization and demand interdependencies between the various sides of the market. Because the company was ordered to stop tying the Android operating system to apps, manufacturers of phones and tablets now have to pay a licensing fee in Europe if they want Google’s apps and the Play Store. Remedies meant to change one side of the platform resulted in those relationships being unbundled. When regulators force cross subsidization to become explicit prices, consumers are the one who pay.

The absolute worst case scenario would be a break up of Google, which has been a centerpiece of Senator Elizabeth Warren’s presidential platform. As I explained last year, that would be a death warrant for the company:

[T]he value of both Facebook and Google comes in creating the platform, which combines users with advertisers. Before the integration of ad networks, the search engine industry was struggling and it was simply not a major player in the Internet ecosystem. In short, the search engines, while convenient, had no economic value. As Michael Moritz, a major investor of Google, said of those early years, “We really couldn’t figure out the business model. There was a period where things were looking pretty bleak.” But Google didn’t pave the way. Rather, Bill Gross at GoTo.com succeeded in showing everyone how advertising could work to build a business. Google founders Larry Page and Sergey Brin merely adopted the model in 2002 and by the end of the year, the company was profitable for the first time. Marrying the two sides of the platform created value. Tearing them apart will also destroy value.

The state AGs need to resist making this investigation into a political showcase. As Pew noted in documenting the rise of North Carolina Attorney General Josh Stein to national prominence, “What used to be a relatively high-profile position within a state’s boundaries has become a springboard for publicity across the country.” While some might cheer the opening of this investigation, consumer welfare needs to be front and center. To properly understand how consumer welfare might be impacted by an investigation, the state AGs need to take seriously the path already laid out by platform economics. For the sake of consumers, let’s hope they are up to the task. 

An oft-repeated claim of conferences, media, and left-wing think tanks is that lax antitrust enforcement has led to a substantial increase in concentration in the US economy of late, strangling the economy, harming workers, and saddling consumers with greater markups in the process. But what if rising concentration (and the current level of antitrust enforcement) were an indication of more competition, not less?

By now the concentration-as-antitrust-bogeyman story is virtually conventional wisdom, echoed, of course, by political candidates such as Elizabeth Warren trying to cash in on the need for a government response to such dire circumstances:

In industry after industry — airlines, banking, health care, agriculture, tech — a handful of corporate giants control more and more. The big guys are locking out smaller, newer competitors. They are crushing innovation. Even if you don’t see the gears turning, this massive concentration means prices go up and quality goes down for everything from air travel to internet service.  

But the claim that lax antitrust enforcement has led to increased concentration in the US and that it has caused economic harm has been debunked several times (for some of our own debunking, see Eric Fruits’ posts here, here, and here). Or, more charitably to those who tirelessly repeat the claim as if it is “settled science,” it has been significantly called into question

Most recently, several working papers looking at the data on concentration in detail and attempting to identify the likely cause for the observed data, show precisely the opposite relationship. The reason for increased concentration appears to be technological, not anticompetitive. And, as might be expected from that cause, its effects are beneficial. Indeed, the story is both intuitive and positive.

What’s more, while national concentration does appear to be increasing in some sectors of the economy, it’s not actually so clear that the same is true for local concentration — which is often the relevant antitrust market.

The most recent — and, I believe, most significant — corrective to the conventional story comes from economists Chang-Tai Hsieh of the University of Chicago and Esteban Rossi-Hansberg of Princeton University. As they write in a recent paper titled, “The Industrial Revolution in Services”: 

We show that new technologies have enabled firms that adopt them to scale production over a large number of establishments dispersed across space. Firms that adopt this technology grow by increasing the number of local markets that they serve, but on average are smaller in the markets that they do serve. Unlike Henry Ford’s revolution in manufacturing more than a hundred years ago when manufacturing firms grew by concentrating production in a given location, the new industrial revolution in non-traded sectors takes the form of horizontal expansion across more locations. At the same time, multi-product firms are forced to exit industries where their productivity is low or where the new technology has had no effect. Empirically we see that top firms in the overall economy are more focused and have larger market shares in their chosen sectors, but their size as a share of employment in the overall economy has not changed. (pp. 42-43) (emphasis added).

This makes perfect sense. And it has the benefit of not second-guessing structural changes made in response to technological change. Rather, it points to technological change as doing what it regularly does: improving productivity.

The implementation of new technology seems to be conferring benefits — it’s just that these benefits are not evenly distributed across all firms and industries. But the assumption that larger firms are causing harm (or even that there is any harm in the first place, whatever the cause) is unmerited. 

What the authors find is that the apparent rise in national concentration doesn’t tell the relevant story, and the data certainly aren’t consistent with assumptions that anticompetitive conduct is either a cause or a result of structural changes in the economy.

Hsieh and Rossi-Hansberg point out that increased concentration is not happening everywhere, but is being driven by just three industries:

First, we show that the phenomena of rising concentration . . . is only seen in three broad sectors – services, wholesale, and retail. . . . [T]op firms have become more efficient over time, but our evidence indicates that this is only true for top firms in these three sectors. In manufacturing, for example, concentration has fallen.

Second, rising concentration in these sectors is entirely driven by an increase [in] the number of local markets served by the top firms. (p. 4) (emphasis added).

These findings are a gloss on a (then) working paper — The Fall of the Labor Share and the Rise of Superstar Firms — by David Autor, David Dorn, Lawrence F. Katz, Christina Patterson, and John Van Reenan (now forthcoming in the QJE). Autor et al. (2019) finds that concentration is rising, and that it is the result of increased productivity:

If globalization or technological changes push sales towards the most productive firms in each industry, product market concentration will rise as industries become increasingly dominated by superstar firms, which have high markups and a low labor share of value-added.

We empirically assess seven predictions of this hypothesis: (i) industry sales will increasingly concentrate in a small number of firms; (ii) industries where concentration rises most will have the largest declines in the labor share; (iii) the fall in the labor share will be driven largely by reallocation rather than a fall in the unweighted mean labor share across all firms; (iv) the between-firm reallocation component of the fall in the labor share will be greatest in the sectors with the largest increases in market concentration; (v) the industries that are becoming more concentrated will exhibit faster growth of productivity; (vi) the aggregate markup will rise more than the typical firm’s markup; and (vii) these patterns should be observed not only in U.S. firms, but also internationally. We find support for all of these predictions. (emphasis added).

This is alone is quite important (and seemingly often overlooked). Autor et al. (2019) finds that rising concentration is a result of increased productivity that weeds out less-efficient producers. This is a good thing. 

But Hsieh & Rossi-Hansberg drill down into the data to find something perhaps even more significant: the rise in concentration itself is limited to just a few sectors, and, where it is observed, it is predominantly a function of more efficient firms competing in more — and more localized — markets. This means that competition is increasing, not decreasing, whether it is accompanied by an increase in concentration or not. 

No matter how may times and under how many monikers the antitrust populists try to revive it, the Structure-Conduct-Performance paradigm remains as moribund as ever. Indeed, on this point, as one of the new antitrust agonists’ own, Fiona Scott Morton, has written (along with co-authors Martin Gaynor and Steven Berry):

In short, there is no well-defined “causal effect of concentration on price,” but rather a set of hypotheses that can explain observed correlations of the joint outcomes of price, measured markups, market share, and concentration. As Bresnahan (1989) argued three decades ago, no clear interpretation of the impact of concentration is possible without a clear focus on equilibrium oligopoly demand and “supply,” where supply includes the list of the marginal cost functions of the firms and the nature of oligopoly competition. 

Some of the recent literature on concentration, profits, and markups has simply reasserted the relevance of the old-style structure-conduct-performance correlations. For economists trained in subfields outside industrial organization, such correlations can be attractive. 

Our own view, based on the well-established mainstream wisdom in the field of industrial organization for several decades, is that regressions of market outcomes on measures of industry structure like the Herfindahl-Hirschman Index should be given little weight in policy debates. Such correlations will not produce information about the causal estimates that policy demands. It is these causal relationships that will help us understand what, if anything, may be causing markups to rise. (emphasis added).

Indeed! And one reason for the enduring irrelevance of market concentration measures is well laid out in Hsieh and Rossi-Hansberg’s paper:

This evidence is consistent with our view that increasing concentration is driven by new ICT-enabled technologies that ultimately raise aggregate industry TFP. It is not consistent with the view that concentration is due to declining competition or entry barriers . . . , as these forces will result in a decline in industry employment. (pp. 4-5) (emphasis added)

The net effect is that there is essentially no change in concentration by the top firms in the economy as a whole. The “super-star” firms of today’s economy are larger in their chosen sectors and have unleashed productivity growth in these sectors, but they are not any larger as a share of the aggregate economy. (p. 5) (emphasis added)

Thus, to begin with, the claim that increased concentration leads to monopsony in labor markets (and thus unemployment) appears to be false. Hsieh and Rossi-Hansberg again:

[W]e find that total employment rises substantially in industries with rising concentration. This is true even when we look at total employment of the smaller firms in these industries. (p. 4)

[S]ectors with more top firm concentration are the ones where total industry employment (as a share of aggregate employment) has also grown. The employment share of industries with increased top firm concentration grew from 70% in 1977 to 85% in 2013. (p. 9)

Firms throughout the size distribution increase employment in sectors with increasing concentration, not only the top 10% firms in the industry, although by definition the increase is larger among the top firms. (p. 10) (emphasis added)

Again, what actually appears to be happening is that national-level growth in concentration is actually being driven by increased competition in certain industries at the local level:

93% of the growth in concentration comes from growth in the number of cities served by top firms, and only 7% comes from increased employment per city. . . . [A]verage employment per county and per establishment of top firms falls. So necessarily more than 100% of concentration growth has to come from the increase in the number of counties and establishments served by the top firms. (p.13)

The net effect is a decrease in the power of top firms relative to the economy as a whole, as the largest firms specialize more, and are dominant in fewer industries:

Top firms produce in more industries than the average firm, but less so in 2013 compared to 1977. The number of industries of a top 0.001% firm (relative to the average firm) fell from 35 in 1977 to 17 in 2013. The corresponding number for a top 0.01% firm is 21 industries in 1977 and 9 industries in 2013. (p. 17)

Thus, summing up, technology has led to increased productivity as well as greater specialization by large firms, especially in relatively concentrated industries (exactly the opposite of the pessimistic stories):  

[T]op firms are now more specialized, are larger in the chosen industries, and these are precisely the industries that have experienced concentration growth. (p. 18)

Unsurprisingly (except to some…), the increase in concentration in certain industries does not translate into an increase in concentration in the economy as a whole. In other words, workers can shift jobs between industries, and there is enough geographic and firm mobility to prevent monopsony. (Despite rampant assumptions that increased concentration is constraining labor competition everywhere…).

Although the employment share of top firms in an average industry has increased substantially, the employment share of the top firms in the aggregate economy has not. (p. 15)

It is also simply not clearly the case that concentration is causing prices to rise or otherwise causing any harm. As Hsieh and Rossi-Hansberg note:

[T]he magnitude of the overall trend in markups is still controversial . . . and . . . the geographic expansion of top firms leads to declines in local concentration . . . that could enhance competition. (p. 37)

Indeed, recent papers such as Traina (2018), Gutiérrez and Philippon (2017), and the IMF (2019) have found increasing markups over the last few decades but at much more moderate rates than the famous De Loecker and Eeckhout (2017) study. Other parts of the anticompetitive narrative have been challenged as well. Karabarbounis and Neiman (2018) finds that profits have increased, but are still within their historical range. Rinz (2018) shows decreased wages in concentrated markets but also points out that local concentration has been decreasing over the relevant time period.

None of this should be so surprising. Has antitrust enforcement gotten more lax, leading to greater concentration? According to Vita and Osinski (2018), not so much. And how about the stagnant rate of new firms? Are incumbent monopolists killing off new startups? The more likely — albeit mundane — explanation, according to Hopenhayn et al. (2018), is that increased average firm age is due to an aging labor force. Lastly, the paper from Hsieh and Rossi-Hansberg discussed above is only the latest in a series of papers, including Bessen (2017), Van Reenen (2018), and Autor et al. (2019), that shows a rise in fixed costs due to investments in proprietary information technology, which correlates with increased concentration. 

So what is the upshot of all this?

  • First, as noted, employment has not decreased because of increased concentration; quite the opposite. Employment has increased in the industries that have experienced the most concentration at the national level.
  • Second, this result suggests that the rise in concentrated industries has not led to increased market power over labor.
  • Third, concentration itself needs to be understood more precisely. It is not explained by a simple narrative that the economy as a whole has experienced a great deal of concentration and this has been detrimental for consumers and workers. Specific industries have experienced national level concentration, but simultaneously those same industries have become more specialized and expanded competition into local markets. 

Surprisingly (because their paper has been around for a while and yet this conclusion is rarely recited by advocates for more intervention — although they happily use the paper to support claims of rising concentration), Autor et al. (2019) finds the same thing:

Our formal model, detailed below, generates superstar effects from increases in the toughness of product market competition that raise the market share of the most productive firms in each sector at the expense of less productive competitors. . . . An alternative perspective on the rise of superstar firms is that they reflect a diminution of competition, due to a weakening of U.S. antitrust enforcement (Dottling, Gutierrez and Philippon, 2018). Our findings on the similarity of trends in the U.S. and Europe, where antitrust authorities have acted more aggressively on large firms (Gutierrez and Philippon, 2018), combined with the fact that the concentrating sectors appear to be growing more productive and innovative, suggests that this is unlikely to be the primary explanation, although it may important in some specific industries (see Cooper et al, 2019, on healthcare for example). (emphasis added).

The popular narrative among Neo-Brandeisian antitrust scholars that lax antitrust enforcement has led to concentration detrimental to society is at base an empirical one. The findings of these empirical papers severely undermine the persuasiveness of that story.

The Economists' Hour

John Maynard Keynes wrote in his famous General Theory that “[t]he ideas of economists and political philosophers, both when they are right and when they are wrong, are more powerful than is commonly understood. Indeed the world is ruled by little else. Practical men who believe themselves to be quite exempt from any intellectual influence, are usually the slaves of some defunct economist.” 

This is true even of those who wish to criticize the effect of economic thinking on society. In his new book, The Economists’ Hour: False Prophets, Free Markets, and the Fracture of Society,  New York Times economics reporter Binyamin Appelbaum aims to show that economists have had a detrimental effect on public policy. But the central irony of the Economists’ Hour is that in criticizing the influence of economists over policy, Appelbaum engages in a great deal of economic speculation himself. Appelbaum would discard the opinions of economists in favor of “the lessons of history,” but all he is left with is unsupported economic reasoning. 

Much of The Economists’ Hour is about the history of ideas. To his credit, Appelbaum does a fair job describing Anglo-American economic thought post-New Deal until the start of the 21st century. Part I mainly focuses on macroeconomics, detailing the demise of the Keynesian consensus and the rise of the monetarists and supply-siders. If the author were not so cynical about the influence of economists, he might have represented these changes in dominant economic paradigms as an example of how science progresses over time.  

Interestingly, Appelbaum often makes the case that the insights of economists have been incredibly beneficial. For instance, in the opening chapter, he describes how Milton Friedman (one of the main protagonists/antagonists of the book, depending on your point of view) and a band of economists (including Martin Anderson and Walter Oi) fought the military establishment and ended the draft. For that, I’m sure most of us born in the past fifty years would be thankful. One suspects that group includes Appelbaum, though he tries to find objections, claiming for example that “by making war more efficient and more remote from the lives of most Americans, the end of the draft may also have made war more likely.” 

Appelbaum also notes positively that economists, most prominently Alfred Kahn in the United States, led the charge in a largely beneficial deregulation of the airline and trucking industries in the late 1970s and early 1980s. 

Yet, overall, it is clear that Appelbaum believes the “outsized” influence of economists over policymaking itself fails the cost-benefit analysis. Appelbaum focuses on the costs of listening too much to economists on antitrust law, trade and development, interest rates and currency, the use of cost-benefit analysis in regulation, and the deregulation of the financial services industry. He sees the deregulation of airlines and trucking as the height of the economists’ hour, and its close with the financial crisis of the late-2000s. His thesis is that (his interpretation of) economists’ notions of efficiency, their (alleged) lack of concern about distributional effects, and their (alleged) myopia has harmed society as their influence over policy has grown.

In his chapter on antitrust, for instance, Appelbaum admits that even though “[w]e live in a new era of giant corporations… there is little evidence consumers are suffering.” Appelbaum argues instead that lax antitrust enforcement has resulted in market concentration harmful to workers, democracy, and innovation. In order to make those arguments, he uncritically cites the work of economists and non-economist legal scholars that make economic claims. A closer inspection of each of these (economic) arguments suggests there is more to the story.

First, recent research questions the narrative that increasing market concentration has resulted in harm to consumers, workers, or society. In their recent paper, “The Industrial Revolution in Services,” Chang-Tai Hsieh of the University of Chicago and Esteban Rossi-Hansberg of Princeton University argue that increasing concentration is primarily due to technological innovation in services, retail, and wholesale sectors. While there has been greater concentration at the national level, this has been accompanied by increased competition locally as national chains expanded to more local markets. Of note, employment has increased in the sectors where national concentration is rising.

The rise in national industry concentration in the US between 1977 and 2013 is driven by a new industrial revolution in three broad non-traded sectors: services, retail, and wholesale. Sectors where national concentration is rising have increased their share of employment, and the expansion is entirely driven by the number of local markets served by firms. Firm employment per market has either increased slightly at the MSA level, or decreased substantially at the county or establishment levels. In industries with increasing concentration, the expansion into more markets is more pronounced for the top 10% firms, but is present for the bottom 90% as well. These trends have not been accompanied by economy-wide concentration. Top U.S. firms are increasingly specialized in sectors with rising industry concentration, but their aggregate employment share has remained roughly stable. We argue that these facts are consistent with the availability of a new set of fixed-cost technologies that enable adopters to produce at lower marginal costs in all markets. We present a simple model of firm size and market entry to describe the menu of new technologies and trace its implications.

In other words, any increase in concentration has been sector-specific and primarily due to more efficient national firms expanding into local markets. This has been associated with lower prices for consumers and more employment opportunities for workers in those sectors.

Appelbaum also looks to Lina Khan’s law journal article, which attacks Amazon for allegedly engaging in predatory pricing, as an example of a new group of young scholars coming to the conclusion that there is a need for more antitrust scrutiny. But, as ICLE scholars Alec Stapp and Kristian Stout have pointed out, there is very little evidence Amazon is actually engaging in predatory pricing. Khan’s article is a challenge to the consensus on how to think about predatory pricing and consumer welfare, but her underlying economic theory is premised on Amazon having such a long time horizon that they can lose money on retail for decades (even though it has been profitable for some time), on the theory that someday down the line they can raise prices after they have run all retail competition out.

Second, Appelbaum argues that mergers and acquisitions in the technology sector, especially acquisitions by Google and Facebook of potential rivals, has decreased innovation. Appelbaum’s belief is that innovation is spurred when government forces dominant players “to make room” for future competition. Here he draws in part on claims by some economists that dominant firms sometimes engage in “killer acquisitions” — acquiring nascent competitors in order to reduce competition, to the detriment of consumer welfare. But a simple model of how that results in reduced competition must be balanced by a recognition that many companies, especially technology startups, are incentivized to innovate in part by the possibility that they will be bought out. As noted by the authors of the leading study on the welfare effects of alleged “killer acquisitions”,

“it is possible that the presence of an acquisition channel also has a positive effect on welfare if the prospect of entrepreneurial exit through acquisition (by an incumbent) spurs ex-ante innovation …. Whereas in our model entrepreneurs are born with a project and thus do not have to exert effort to come up with an idea, it is plausible that the prospect of later acquisition may motivate the origination of entrepreneurial ideas in the first place… If, on the other hand, killer acquisitions do increase ex-ante innovation, this potential welfare gain will have to be weighed against the ex-post efficiency loss due to reduced competition. Whether the former positive or the latter negative effect dominates will depend on the elasticity of the entrepreneur’s innovation response.”

This analysis suggests that a case-by-case review is necessary if antitrust plaintiffs can show evidence that harm to consumers is likely to occur due to a merger.. But shifting the burden to merging entities, as Applebaum seems to suggest, will come with its own costs. In other words, more economics is needed to understand this area, not less.

Third, Appelbaum’s few concrete examples of harm to consumers resulting from “lax antitrust enforcement” in the United States come from airline mergers and telecommunications. In both cases, he sees the increased attention from competition authorities in Europe compared to the U.S. at the explanation for better outcomes. Neither is a clear example of harm to consumers, nor can be used to show superior antitrust frameworks in Europe versus the United States.

In the case of airline mergers, Appelbaum argues the gains from deregulation of the industry have been largely given away due to poor antitrust enforcement and prices stopped falling, leading to a situation where “[f]or the first time since the dawn of aviation, it is generally cheaper to fly in Europe than in the United States.” This is hard to square with the data. 

As explained in a recent blog post on Truth on the Market by ICLE’s chief economist Eric Fruits: 

While the concentration and profits story fits the antitrust populist narrative, other observations run contrary to [this] conclusion. For example, airline prices, as measured by price indexes, show that changes in U.S. and EU airline prices have fairly closely tracked each other until 2014, when U.S. prices began dropping. Sure, airlines have instituted baggage fees, but the CPI includes taxes, fuel surcharges, airport, security, and baggage fees. It’s not obvious that U.S. consumers are worse off in the so-called era of rising concentration. 

In fact, one recent study, titled Are legacy airline mergers pro- or anti-competitive? Evidence from recent U.S. airline mergers takes it a step further. Data from legacy U.S. airline mergers appears to show they have resulted in pro-consumer benefits once quality-adjusted fares are taken into account:

Our main conclusion is simple: The recent legacy carrier mergers have been associated with pro-competitive outcomes. We find that, on average across all three mergers combined, nonstop overlap routes (on which both merging parties were present pre-merger) experienced statistically significant output increases and statistically insignificant nominal fare decreases relative to non-overlap routes. This pattern also holds when we study each of the three mergers individually. We find that nonstop overlap routes experienced statistically significant output and capacity increases following all three legacy airline mergers, with statistically significant nominal fare decreases following Delta/Northwest and American/USAirways mergers, and statistically insignificant nominal fare decreases following the United/Continental merger… 

One implication of our findings is that any fare increases that have been observed since the mergers were very unlikely to have been caused by the mergers. In particular, our results demonstrate pro-competitive output expansions on nonstop overlap routes indicating reductions in quality-adjusted fares and a lack of significant anti-competitive effects on connecting overlaps. Hence ,our results demonstrate consumer welfare gains on overlap routes, without even taking credit for the large benefits on non-overlap routes (due to new online service, improved service networks at airports, fleet reallocation, etc.). While some of our results indicate that passengers on non-overlap routes also benefited from the mergers, we leave the complete exploration of such network effects for future research.

In other words, neither part of Applebaum’s proposition, that Europe has cheaper fares and that concentration has led to worse outcomes for consumers in the United States, appears to be true. Perhaps the influence of economists over antitrust law in the United States has not been so bad after all.

Appelbaum also touts the lower prices for broadband in Europe as an example of better competition policy over telecommunications in Europe versus the United States. While prices are lower on average in Europe for broadband, this obfuscates distribution of prices depending on speed tiers. UPenn Professor Christopher Yoo’s 2014 study titled U.S. vs. European Broadband Deployment: What Do the Data Say? found:

U.S. broadband was cheaper than European broadband for all speed tiers below 12 Mbps. U.S. broadband was more expensive for higher speed tiers, although the higher cost was justified in no small part by the fact that U.S. Internet users on average consumed 50% more bandwidth than their European counterparts.

Population density also helps explain differences between Europe and the United States. The closer people are together, the easier it is to build out infrastructure like broadband Internet. The United States is considerably more rural than most European countries. As a result, consideration of prices and speed need to be adjusted to reflect those differences. For instance, the FCC’s 2018 International Broadband Data Report shows a move in position from 23rd to 14th for the United States compared to 28 (mostly European) other countries once population density and income are taken into consideration for fixed broadband prices (Model 1 to Model 2). The United States climbs even further to 6th out of the 29 countries studied if data usage is included and 7th if quality (i.e. websites available in language) is taken into consideration (Model 4).

Country Model 1 Model 2 Model 3 Model 4
Price Rank Price Rank Price Rank Price Rank
Australia $78.30 28 $82.81 27 $102.63 26 $84.45 23
Austria $48.04 17 $60.59 15 $73.17 11 $74.02 17
Belgium $46.82 16 $66.62 21 $75.29 13 $81.09 22
Canada $69.66 27 $74.99 25 $92.73 24 $76.57 19
Chile $33.42 8 $73.60 23 $83.81 20 $88.97 25
Czech Republic $26.83 3 $49.18 6 $69.91 9 $60.49 6
Denmark $43.46 14 $52.27 8 $69.37 8 $63.85 8
Estonia $30.65 6 $56.91 12 $81.68 19 $69.06 12
Finland $35.00 9 $37.95 1 $57.49 2 $51.61 1
France $30.12 5 $44.04 4 $61.96 4 $54.25 3
Germany $36.00 12 $53.62 10 $75.09 12 $66.06 11
Greece $35.38 10 $64.51 19 $80.72 17 $78.66 21
Iceland $65.78 25 $73.96 24 $94.85 25 $90.39 26
Ireland $56.79 22 $62.37 16 $76.46 14 $64.83 9
Italy $29.62 4 $48.00 5 $68.80 7 $59.00 5
Japan $40.12 13 $53.58 9 $81.47 18 $72.12 15
Latvia $20.29 1 $42.78 3 $63.05 5 $52.20 2
Luxembourg $56.32 21 $54.32 11 $76.83 15 $72.51 16
Mexico $35.58 11 $91.29 29 $120.40 29 $109.64 29
Netherlands $44.39 15 $63.89 18 $89.51 21 $77.88 20
New Zealand $59.51 24 $81.42 26 $90.55 22 $76.25 18
Norway $88.41 29 $71.77 22 $103.98 27 $96.95 27
Portugal $30.82 7 $58.27 13 $72.83 10 $71.15 14
South Korea $25.45 2 $42.07 2 $52.01 1 $56.28 4
Spain $54.95 20 $87.69 28 $115.51 28 $106.53 28
Sweden $52.48 19 $52.16 7 $61.08 3 $70.41 13
Switzerland $66.88 26 $65.01 20 $91.15 23 $84.46 24
United Kingdom $50.77 18 $63.75 17 $79.88 16 $65.44 10
United States $58.00 23 $59.84 14 $64.75 6 $62.94 7
Average $46.55 $61.70 $80.24 $73.73

Model 1: Unadjusted for demographics and content quality

Model 2: Adjusted for demographics but not content quality

Model 3: Adjusted for demographics and data usage

Model 4: Adjusted for demographics and content quality

Furthermore, investment and buildout are other important indicators of how well the United States is doing compared to Europe. Appelbaum fails to consider all of these factors when comparing the European model of telecommunications to the United States’. Yoo’s conclusion is an appropriate response:

The increasing availability of high-quality data has the promise to effect a sea change in broadband policy. Debates that previously relied primarily on anecdotal evidence and personal assertions of visions for the future can increasingly take place on a firmer empirical footing. 

In particular, these data can resolve the question whether the U.S. is running behind Europe in the broadband race or vice versa. The U.S. and European mapping studies are clear and definitive: These data indicate that the U.S. is ahead of Europe in terms of the availability of Next Generation Access (NGA) networks. The U.S. advantage is even starker in terms of rural NGA coverage and with respect to key technologies such as FTTP and LTE. 

Empirical analysis, both in terms of top-level statistics and in terms of eight country case studies, also sheds light into the key policy debate between facilities-based competition and service-based competition. The evidence again is fairly definitive, confirming that facilities-based competition is more effective in terms of driving broadband investment than service-based competition. 

In other words, Appelbaum relies on bad data to come to his conclusion that listening to economists has been wrong for American telecommunications policy. Perhaps it is his economic assumptions that need to be questioned.

Conclusion

At the end of the day, in antitrust, environmental regulation, and other areas he reviewed, Appelbaum does not believe economic efficiency should be the primary concern anyway.  For instance, he repeats the common historical argument that the purpose of the Sherman Act was to protect small businesses from bigger, and often more efficient, competitors. 

So applying economic analysis to Appelbaum’s claims may itself be an illustration of caring too much about economic models instead of learning “the lessons of history.” But Appelbaum inescapably assumes economic models of its own. And these models appear less grounded in empirical data than those of the economists he derides. There’s no escaping mental models to understand the world. It is just a question of whether we are willing to change our mind if a better way of understanding the world presents itself. As Keynes is purported to have said, “When the facts change, I change my mind. What do you do, sir?”

For all the criticism of economists, there at least appears to be a willingness among them to change their minds, as illustrated by the increasing appreciation for anti-inflationary monetary policy among macroeconomists described in The Economists’ Hour. The question which remains is whether Appelbaum and other critics of the economic way of thinking are as willing to reconsider their strongly held views when they conflict with the evidence.

FTC v. Qualcomm

Last week the International Center for Law & Economics (ICLE) and twelve noted law and economics scholars filed an amicus brief in the Ninth Circuit in FTC v. Qualcomm, in support of appellant (Qualcomm) and urging reversal of the district court’s decision. The brief was authored by Geoffrey A. Manne, President & founder of ICLE, and Ben Sperry, Associate Director, Legal Research of ICLE. Jarod M. Bona and Aaron R. Gott of Bona Law PC collaborated in drafting the brief and they and their team provided invaluable pro bono legal assistance, for which we are enormously grateful. Signatories on the brief are listed at the end of this post.

We’ve written about the case several times on Truth on the Market, as have a number of guest bloggers, in our ongoing blog series on the case here.   

The ICLE amicus brief focuses on the ways that the district court exceeded the “error cost” guardrails erected by the Supreme Court to minimize the risk and cost of mistaken antitrust decisions, particularly those that wrongly condemn procompetitive behavior. As the brief notes at the outset:

The district court’s decision is disconnected from the underlying economics of the case. It improperly applied antitrust doctrine to the facts, and the result subverts the economic rationale guiding monopolization jurisprudence. The decision—if it stands—will undercut the competitive values antitrust law was designed to protect.  

The antitrust error cost framework was most famously elaborated by Frank Easterbrook in his seminal article, The Limits of Antitrust (1984). It has since been squarely adopted by the Supreme Court—most significantly in Brooke Group (1986), Trinko (2003), and linkLine (2009).  

In essence, the Court’s monopolization case law implements the error cost framework by (among other things) obliging courts to operate under certain decision rules that limit the use of inferences about the consequences of a defendant’s conduct except when the circumstances create what game theorists call a “separating equilibrium.” A separating equilibrium is a 

solution to a game in which players of different types adopt different strategies and thereby allow an uninformed player to draw inferences about an informed player’s type from that player’s actions.

Baird, Gertner & Picker, Game Theory and the Law

The key problem in antitrust is that while the consequence of complained-of conduct for competition (i.e., consumers) is often ambiguous, its deleterious effect on competitors is typically quite evident—whether it is actually anticompetitive or not. The question is whether (and when) it is appropriate to infer anticompetitive effect from discernible harm to competitors. 

Except in the narrowly circumscribed (by Trinko) instance of a unilateral refusal to deal, anticompetitive harm under the rule of reason must be proven. It may not be inferred from harm to competitors, because such an inference is too likely to be mistaken—and “mistaken inferences are especially costly, because they chill the very conduct the antitrust laws are designed to protect.” (Brooke Group (quoting yet another key Supreme Court antitrust error cost case, Matsushita (1986)). 

Yet, as the brief discusses, in finding Qualcomm liable the district court did not demand or find proof of harm to competition. Instead, the court’s opinion relies on impermissible inferences from ambiguous evidence to find that Qualcomm had (and violated) an antitrust duty to deal with rival chip makers and that its conduct resulted in anticompetitive foreclosure of competition. 

We urge you to read the brief (it’s pretty short—maybe the length of three blogs posts) to get the whole argument. Below we draw attention to a few points we make in the brief that are especially significant. 

The district court bases its approach entirely on Microsoft — which it misinterprets in clear contravention of Supreme Court case law

The district court doesn’t stay within the strictures of the Supreme Court’s monopolization case law. In fact, although it obligingly recites some of the error cost language from Trinko, it quickly moves away from Supreme Court precedent and bases its approach entirely on its reading of the D.C. Circuit’s Microsoft (2001) decision. 

Unfortunately, the district court’s reading of Microsoft is mistaken and impermissible under Supreme Court precedent. Indeed, both the Supreme Court and the D.C. Circuit make clear that a finding of illegal monopolization may not rest on an inference of anticompetitive harm.

The district court cites Microsoft for the proposition that

Where a government agency seeks injunctive relief, the Court need only conclude that Qualcomm’s conduct made a “significant contribution” to Qualcomm’s maintenance of monopoly power. The plaintiff is not required to “present direct proof that a defendant’s continued monopoly power is precisely attributable to its anticompetitive conduct.”

It’s true Microsoft held that, in government actions seeking injunctions, “courts [may] infer ‘causation’ from the fact that a defendant has engaged in anticompetitive conduct that ‘reasonably appears capable of making a significant contribution to maintaining monopoly power.’” (Emphasis added). 

But Microsoft never suggested that anticompetitiveness itself may be inferred.

“Causation” and “anticompetitive effect” are not the same thing. Indeed, Microsoft addresses “anticompetitive conduct” and “causation” in separate sections of its decision. And whereas Microsoft allows that courts may infer “causation” in certain government actions, it makes no such allowance with respect to “anticompetitive effect.” In fact, it explicitly rules it out:

[T]he plaintiff… must demonstrate that the monopolist’s conduct indeed has the requisite anticompetitive effect…; no less in a case brought by the Government, it must demonstrate that the monopolist’s conduct harmed competition, not just a competitor.”

The D.C. Circuit subsequently reinforced this clear conclusion of its holding in Microsoft in Rambus

Deceptive conduct—like any other kind—must have an anticompetitive effect in order to form the basis of a monopolization claim…. In Microsoft… [t]he focus of our antitrust scrutiny was properly placed on the resulting harms to competition.

Finding causation entails connecting evidentiary dots, while finding anticompetitive effect requires an economic assessment. Without such analysis it’s impossible to distinguish procompetitive from anticompetitive conduct, and basing liability on such an inference effectively writes “anticompetitive” out of the law.

Thus, the district court is correct when it holds that it “need not conclude that Qualcomm’s conduct is the sole reason for its rivals’ exits or impaired status.” But it is simply wrong to hold—in the same sentence—that it can thus “conclude that Qualcomm’s practices harmed competition and consumers.” The former claim is consistent with Microsoft; the latter is emphatically not.

Under Trinko and Aspen Skiing the district court’s finding of an antitrust duty to deal is impermissible 

Because finding that a company operates under a duty to deal essentially permits a court to infer anticompetitive harm without proof, such a finding “comes dangerously close to being a form of ‘no-fault’ monopolization,” as Herbert Hovenkamp has written. It is also thus seriously disfavored by the Court’s error cost jurisprudence.

In Trinko the Supreme Court interprets its holding in Aspen Skiing to identify essentially a single scenario from which it may plausibly be inferred that a monopolist’s refusal to deal with rivals harms consumers: the existence of a prior, profitable course of dealing, and the termination and replacement of that arrangement with an alternative that not only harms rivals, but also is less profitable for the monopolist.

In an effort to satisfy this standard, the district court states that “because Qualcomm previously licensed its rivals, but voluntarily stopped licensing rivals even though doing so was profitable, Qualcomm terminated a voluntary and profitable course of dealing.”

But it’s not enough merely that the prior arrangement was profitable. Rather, Trinko and Aspen Skiing hold that when a monopolist ends a profitable relationship with a rival, anticompetitive exclusion may be inferred only when it also refuses to engage in an ongoing arrangement that, in the short run, is more profitable than no relationship at all. The key is the relative value to the monopolist of the current options on offer, not the value to the monopolist of the terminated arrangement. In a word, what the Court requires is that the defendant exhibit behavior that, but-for the expectation of future, anticompetitive returns, is irrational.

It should be noted, as John Lopatka (here) and Alan Meese (here) (both of whom joined the amicus brief) have written, that even the Supreme Court’s approach is likely insufficient to permit a court to distinguish between procompetitive and anticompetitive conduct. 

But what is certain is that the district court’s approach in no way permits such an inference.

“Evasion of a competitive constraint” is not an antitrust-relevant refusal to deal

In order to infer anticompetitive effect, it’s not enough that a firm may have a “duty” to deal, as that term is colloquially used, based on some obligation other than an antitrust duty, because it can in no way be inferred from the evasion of that obligation that conduct is anticompetitive.

The district court bases its determination that Qualcomm’s conduct is anticompetitive on the fact that it enables the company to avoid patent exhaustion, FRAND commitments, and thus price competition in the chip market. But this conclusion is directly precluded by the Supreme Court’s holding in NYNEX

Indeed, in Rambus, the D.C. Circuit, citing NYNEX, rejected the FTC’s contention that it may infer anticompetitive effect from defendant’s evasion of a constraint on its monopoly power in an analogous SEP-licensing case: “But again, as in NYNEX, an otherwise lawful monopolist’s end-run around price constraints, even when deceptive or fraudulent, does not alone present a harm to competition.”

As Josh Wright has noted:

[T]he objection to the “evasion” of any constraint approach is… that it opens the door to enforcement actions applied to business conduct that is not likely to harm competition and might be welfare increasing.

Thus NYNEX and Rambus (and linkLine) reinforce the Court’s repeated holding that an inference of harm to competition is permissible only where conduct points clearly to anticompetitive effect—and, bad as they may be, evading obligations under other laws or violating norms of “business morality” do not suffice.

The district court’s elaborate theory of harm rests fundamentally on the claim that Qualcomm injures rivals—and the record is devoid of evidence demonstrating actual harm to competition. Instead, the court infers it from what it labels “unreasonably high” royalty rates, enabled by Qualcomm’s evasion of competition from rivals. In turn, the court finds that that evasion of competition can be the source of liability if what Qualcomm evaded was an antitrust duty to deal. And, in impermissibly circular fashion, the court finds that Qualcomm indeed evaded an antitrust duty to deal—because its conduct allowed it to sustain “unreasonably high” prices. 

The Court’s antitrust error cost jurisprudence—from Brooke Group to NYNEX to Trinko & linkLine—stands for the proposition that no such circular inferences are permitted.

The district court’s foreclosure analysis also improperly relies on inferences in lieu of economic evidence

Because the district court doesn’t perform a competitive effects analysis, it fails to demonstrate the requisite “substantial” foreclosure of competition required to sustain a claim of anticompetitive exclusion. Instead the court once again infers anticompetitive harm from harm to competitors. 

The district court makes no effort to establish the quantity of competition foreclosed as required by the Supreme Court. Nor does the court demonstrate that the alleged foreclosure harms competition, as opposed to just rivals. Foreclosure per se is not impermissible and may be perfectly consistent with procompetitive conduct.

Again citing Microsoft, the district court asserts that a quantitative finding is not required. Yet, as the court’s citation to Microsoft should have made clear, in its stead a court must find actual anticompetitive effect; it may not simply assert it. As Microsoft held: 

It is clear that in all cases the plaintiff must… prove the degree of foreclosure. This is a prudential requirement; exclusivity provisions in contracts may serve many useful purposes. 

The court essentially infers substantiality from the fact that Qualcomm entered into exclusive deals with Apple (actually, volume discounts), from which the court concludes that Qualcomm foreclosed rivals’ access to a key customer. But its inference that this led to substantial foreclosure is based on internal business statements—so-called “hot docs”—characterizing the importance of Apple as a customer. Yet, as Geoffrey Manne and Marc Williamson explain, such documentary evidence is unreliable as a guide to economic significance or legal effect: 

Business people will often characterize information from a business perspective, and these characterizations may seem to have economic implications. However, business actors are subject to numerous forces that influence the rhetoric they use and the conclusions they draw….

There are perfectly good reasons to expect to see “bad” documents in business settings when there is no antitrust violation lurking behind them.

Assuming such language has the requisite economic or legal significance is unsupportable—especially when, as here, the requisite standard demands a particular quantitative significance.

Moreover, the court’s “surcharge” theory of exclusionary harm rests on assumptions regarding the mechanism by which the alleged surcharge excludes rivals and harms consumers. But the court incorrectly asserts that only one mechanism operates—and it makes no effort to quantify it. 

The court cites “basic economics” via Mankiw’s Principles of Microeconomics text for its conclusion:

The surcharge affects demand for rivals’ chips because as a matter of basic economics, regardless of whether a surcharge is imposed on OEMs or directly on Qualcomm’s rivals, “the price paid by buyers rises, and the price received by sellers falls.” Thus, the surcharge “places a wedge between the price that buyers pay and the price that sellers receive,” and demand for such transactions decreases. Rivals see lower sales volumes and lower margins, and consumers see less advanced features as competition decreases.

But even assuming the court is correct that Qualcomm’s conduct entails such a surcharge, basic economics does not hold that decreased demand for rivals’ chips is the only possible outcome. 

In actuality, an increase in the cost of an input for OEMs can have three possible effects:

  1. OEMs can pass all or some of the cost increase on to consumers in the form of higher phone prices. Assuming some elasticity of demand, this would mean fewer phone sales and thus less demand by OEMs for chips, as the court asserts. But the extent of that effect would depend on consumers’ demand elasticity and the magnitude of the cost increase as a percentage of the phone price. If demand is highly inelastic at this price (i.e., relatively insensitive to the relevant price change), it may have a tiny effect on the number of phones sold and thus the number of chips purchased—approaching zero as price insensitivity increases.
  2. OEMs can absorb the cost increase and realize lower profits but continue to sell the same number of phones and purchase the same number of chips. This would not directly affect demand for chips or their prices.
  3. OEMs can respond to a price increase by purchasing fewer chips from rivals and more chips from Qualcomm. While this would affect rivals’ chip sales, it would not necessarily affect consumer prices, the total number of phones sold, or OEMs’ margins—that result would depend on whether Qualcomm’s chips cost more or less than its rivals’. If the latter, it would even increase OEMs’ margins and/or lower consumer prices and increase output.

Alternatively, of course, the effect could be some combination of these.

Whether any of these outcomes would substantially exclude rivals is inherently uncertain to begin with. But demonstrating a reduction in rivals’ chip sales is a necessary but not sufficient condition for proving anticompetitive foreclosure. The FTC didn’t even demonstrate that rivals were substantially harmed, let alone that there was any effect on consumers—nor did the district court make such findings. 

Doing so would entail consideration of whether decreased demand for rivals’ chips flows from reduced consumer demand or OEMs’ switching to Qualcomm for supply, how consumer demand elasticity affects rivals’ chip sales, and whether Qualcomm’s chips were actually less or more expensive than rivals’. Yet the court determined none of these. 

Conclusion

Contrary to established Supreme Court precedent, the district court’s decision relies on mere inferences to establish anticompetitive effect. The decision, if it stands, would render a wide range of potentially procompetitive conduct presumptively illegal and thus harm consumer welfare. It should be reversed by the Ninth Circuit.

Joining ICLE on the brief are:

  • Donald J. Boudreaux, Professor of Economics, George Mason University
  • Kenneth G. Elzinga, Robert C. Taylor Professor of Economics, University of Virginia
  • Janice Hauge, Professor of Economics, University of North Texas
  • Justin (Gus) Hurwitz, Associate Professor of Law, University of Nebraska College of Law; Director of Law & Economics Programs, ICLE
  • Thomas A. Lambert, Wall Chair in Corporate Law and Governance, University of Missouri Law School
  • John E. Lopatka, A. Robert Noll Distinguished Professor of Law, Penn State University Law School
  • Daniel Lyons, Professor of Law, Boston College Law School
  • Geoffrey A. Manne, President and Founder, International Center for Law & Economics; Distinguished Fellow, Northwestern University Center on Law, Business & Economics
  • Alan J. Meese, Ball Professor of Law, William & Mary Law School
  • Paul H. Rubin, Samuel Candler Dobbs Professor of Economics Emeritus, Emory University
  • Vernon L. Smith, George L. Argyros Endowed Chair in Finance and Economics, Chapman University School of Business; Nobel Laureate in Economics, 2002
  • Michael Sykuta, Associate Professor of Economics, University of Missouri


Paul H. Rubin is the Dobbs Professor of Economics Emeritus, Emory University, and President, Southern Economic Association, 2013

I want to thank Geoff for inviting me to blog about my new book.

My book, The Capitalist Paradox: How Cooperation Enables Free Market Competition, Bombardier Books, 2019, has been published. The main question I address in this short book is: Given the obvious benefits of markets over socialism, why do so many still oppose markets? I have been concerned with this issue for many years. Given the current state of American politics, the question is even more important than when I began the book.

I begin by pointing out that humans are not good intuitive economists. Our minds evolved in a simple setting where the economy was simple, with little trade, little specialization (except by age and gender), and little capital. In this world there was no need for our brains to evolve to understand economics. (Politics is a different story.) The main takeaway from this world was that our minds evolved to view the world as zero-sum.  Zero-sum thinking is the error behind most policy errors in economics.

The second part of the argument is that in many cases, when economists are discussing efficiency issues (such as optimal taxation) listeners are hearing distribution issues. So we economists would do better to begin with a discussion showing that there are efficiency (“size of the pie”) effects before showing what they are in a particular case.  That is, we should show that taxation can affect total income before showing how it does so in a particular case. I call this “really basic economics,” which should be taught before basic economics. It is sometimes said that experts understand their field so well that they are “mind blind” to the basics, and that is the situation here.

I then show that competition is an improper metaphor for economics.  Discussions of competition brings up sports (and in economics the notion of competition was borrowed from sports) and sports is zero-sum. Thus, when economists discuss competition, they reinforce people’s notion that economics is zero sum.  People do not like competition. A quote from the book:

Here are some common modifiers of “competition” and the number of Google references to each:

“Cutthroat competition” (256,000), “excessive competition” (159,000), “destructive competition” (105,000), “ruthless competition” (102,000), “ferocious competition” (66,700), “vicious competition” (53,500), “unfettered competition” (37,000), “unrestrained competition” (34,500), “harmful competition” (18,000), and “dog-eat-dog competition” (15, 000). Conversely, for “beneficial competition” there are 16,400 references. For “beneficial cooperation” there are 548,000 references, and almost no references to any of the negative modifiers of cooperation.

The final point, and what ties it all together, is a discussion showing that the economy is actually more cooperative than it is competitive. There are more cooperative relationships in an economy than there are competitive interactions.  The basic economic element is a transaction, and transactions are cooperative.  Competition chooses the best agents to cooperate with, but cooperation does the work and creates the consumer surplus. Thus, referring to markets as “cooperative” rather than “competitive” would not only reduce hostility towards markets, but would also be more accurate.

An economist reading this book would probably not learn much economics. I do not advocate any major change in economic theory from competition to cooperation. But I propose a different way to view the economy, and one that might help us better explain what we are doing to students and to policy makers, including voters.

Neither side in the debate over Section 230 is blameless for the current state of affairs. Reform/repeal proponents have tended to offer ill-considered, irrelevant, or often simply incorrect justifications for amending or tossing Section 230. Meanwhile, many supporters of the law in its current form are reflexively resistant to any change and too quick to dismiss the more reasonable concerns that have been voiced.

Most of all, the urge to politicize this issue — on all sides — stands squarely in the way of any sensible discussion and thus of any sensible reform.

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After spending a few years away from ICLE and directly engaging in the day to day grind of indigent criminal defense as a public defender, I now have a new appreciation for the ways economic tools can explain behavior that I had not before studied. For instance, I think the law and economics tradition, specifically the insights of Ludwig von Mises and Friedrich von Hayek on the importance of price signals, can explain one of the major problems for public defenders and their clients: without price signals, there is no rational way to determine the best way to spend one’s time.

I believe the most common complaints about how public defenders represent their clients is better understood not primarily as a lack of funding, as a lack of effort or care, or even simply as a lack of time for overburdened lawyers, but as an allocation problem. In the absence of price signals, there is no rational way to determine the best way to spend one’s time as a public defender. (Note: Many jurisdictions use the model of indigent defense described here, in which lawyers are paid a salary to work for the public defender’s office. However, others use models like contracting lawyers for particular cases, appointing lawyers for a flat fee, relying on non-profit agencies, or combining approaches as some type of hybrid. These models all have their own advantages and disadvantages, but this blog post is only about the issue of price signals for lawyers who work within a public defender’s office.)

As Mises and Hayek taught us, price signals carry a great deal of information; indeed, they make economic calculation possible. Their critique of socialism was built around this idea: that the person in charge of making economic choices without prices and the profit-and-loss mechanism is “groping in the dark.”

This isn’t to say that people haven’t tried to find ways to figure out the best way to spend their time in the absence of the profit-and-loss mechanism. In such environments, bureaucratic rules often replace price signals in directing human action. For instance, lawyers have rules of professional conduct. These rules, along with concerns about reputation and other institutional checks may guide lawyers on how to best spend their time as a general matter. But even these things are no match for price signals in determining the most efficient way to allocate the scarcest resource of all: time.

Imagine two lawyers, one working for a public defender’s office who receives a salary that is not dependent on caseload or billable hours, and another private defense lawyer who charges his client for the work that is put in.

In either case the lawyer who is handed a file for a case scheduled for trial months in advance has a choice to make: do I start working on this now, or do I put it on the backburner because of cases with much closer deadlines? A cursory review of the file shows there may be a possible suppression issue that will require further investigation. A successful suppression motion would likely lead to a resolution of the case that will not result in a conviction, but it would take considerable time – time which could be spent working on numerous client files with closer trial dates. For the sake of this hypothetical, there is a strong legal basis to file suppression motion (i.e., it is not frivolous).

The private defense lawyer has a mechanism beyond what is available to public defenders to determine how to handle this case: price signals. He can bring the suppression issue to his client’s attention, explain the likelihood of success, and then offer to file and argue the suppression motion for some agreed upon price. The client would then have the ability to determine with counsel whether this is worthwhile.

The public defender, on the other hand, does not have price signals to determine where to put this suppression motion among his other workload. He could spend the time necessary to develop the facts and research the law for the suppression motion, but unless there is a quickly approaching deadline for the motion to be filed, there will be many other cases in the queue with closer deadlines begging for his attention. Clients, who have no rationing principle based in personal monetary costs, would obviously prefer their public defender file any and all motions which have any chance whatsoever to help them, regardless of merit.

What this hypothetical shows is that public defenders do not face the same incentive structure as private lawyers when it comes to allocation of time. But neither do criminal defendants. Indigent defendants who qualify for public defender representation often complain about their “public pretender” for “not doing anything for them.” But the simple truth is that the public defender is making choices on how to spend his time more or less by his own determination of where he can be most useful. Deadlines often drive the review of cases, along with who sends the most letters and/or calls. The actual evaluation of which cases have the most merit can fall through the cracks. Often times, this means cases are worked on in a chronological manner, but insufficient time and effort is spent on particular cases that would have merited more investment because of quickly approaching deadlines on other cases. Sometimes this means that the most annoying clients get the most time spent on their behalf, irrespective of the merits of their case. At best, public defenders are acting like battlefield medics and attempt to perform triage by spending their time where they believe they can help the most.

Unlike private criminal defense lawyers, public defenders can’t typically reject cases because their caseload has grown too big, or charge a higher price in order to take on a particularly difficult and time-consuming case. Therefore, the public defender is stuck in a position to simply guess at the best use of their time with the heuristics described above and do the very best they can under the circumstances. Unfortunately, those heuristics simply can’t replace price signals in determining the best use of one’s time.

As criminal justice reform becomes a policy issue for both left and right, law and economics analysis should have a place in the conversation. Any reforms of indigent defense that will be part of this broader effort should take into consideration the calculation problem inherent to the public defender’s office. Other institutional arrangements, like a well-designed voucher system, which do not suffer from this particular problem may be preferable.

In an amicus brief filed last Friday, a diverse group of antitrust scholars joined the Washington Legal Foundation in urging the U.S. Court of Appeals for the Second Circuit to vacate the Federal Trade Commission’s misguided 1-800 Contacts decision. Reasoning that 1-800’s settlements of trademark disputes were “inherently suspect,” the FTC condemned the settlements under a cursory “quick look” analysis. In so doing, it improperly expanded the category of inherently suspect behavior and ignored an obvious procompetitive justification for the challenged settlements.  If allowed to stand, the Commission’s decision will impair intellectual property protections that foster innovation.

A number of 1-800’s rivals purchased online ad placements that would appear when customers searched for “1-800 Contacts.” 1-800 sued those rivals for trademark infringement, and the lawsuits settled. As part of each settlement, 1-800 and its rival agreed not to bid on each other’s trademarked terms in search-based keyword advertising. (For example, EZ Contacts could not bid on a placement tied to a search for 1-800 Contacts, and vice-versa). Each party also agreed to employ “negative keywords” to ensure that its ads would not appear in response to a consumer’s online search for the other party’s trademarks. (For example, in bidding on keywords, 1-800 would have to specify that its ad must not appear in response to a search for EZ Contacts, and vice-versa). Notably, the settlement agreements didn’t restrict the parties’ advertisements through other media such as TV, radio, print, or other forms of online advertising. Nor did they restrict paid search advertising in response to any search terms other than the parties’ trademarks.

The FTC concluded that these settlement agreements violated the antitrust laws as unreasonable restraints of trade. Although the agreements were not unreasonable per se, as naked price-fixing is, the Commission didn’t engage in the normally applicable rule of reason analysis to determine whether the settlements passed muster. Instead, the Commission condemned the settlements under the truncated analysis that applies when, in the words of the Supreme Court, “an observer with even a rudimentary understanding of economics could conclude that the arrangements in question would have an anticompetitive effect on customers and markets.” The Commission decided that no more than a quick look was required because the settlements “restrict the ability of lower cost online sellers to show their ads to consumers.”

That was a mistake. First, the restraints in 1-800’s settlements are far less extensive than other restraints that the Supreme Court has said may not be condemned under a cursory quick look analysis. In California Dental, for example, the Supreme Court reversed a Ninth Circuit decision that employed the quick look analysis to condemn a de facto ban on all price and “comfort” advertising by members of a dental association. In light of the possibility that the ban could reduce misleading ads, enhance customer trust, and thereby stimulate demand, the Court held that the restraint must be assessed under the more probing rule of reason. A narrow limit on the placement of search ads is far less restrictive than the all-out ban for which the California Dental Court prescribed full-on rule of reason review.

1-800’s settlements are also less likely to be anticompetitive than are other settlements that the Supreme Court has said must be evaluated under the rule of reason. The Court’s Actavis decision rejected quick look and mandated full rule of reason analysis for reverse payment settlements of pharmaceutical patent litigation. In a reverse payment settlement, the patent holder pays an alleged infringer to stay out of the market for some length of time. 1-800’s settlements, by contrast, did not exclude its rivals from the market, place any restrictions on the content of their advertising, or restrict the placement of their ads except on webpages responding to searches for 1-800’s own trademarks. If the restraints in California Dental and Actavis required rule of reason analysis, then those in 1-800’s settlements surely must as well.

In addition to disregarding Supreme Court precedents that limit when mere quick look is appropriate, the FTC gave short shrift to a key procompetitive benefit of the restrictions in 1-800’s settlements. 1-800 spent millions of dollars convincing people that they could save money by ordering prescribed contact lenses from a third party rather than buying them from prescribing optometrists. It essentially built the online contact lens market in which its rivals now compete. In the process, it created a strong trademark, which undoubtedly boosts its own sales. (Trademarks point buyers to a particular seller and enhance consumer confidence in the seller’s offering, since consumers know that branded sellers will not want to tarnish their brands with shoddy products or service.)

When a rival buys ad space tied to a search for 1-800 Contacts, that rival is taking a free ride on 1-800’s investments in its own brand and in the online contact lens market itself. A rival that has advertised less extensively than 1-800—primarily because 1-800 has taken the lead in convincing consumers to buy their contact lenses online—will incur lower marketing costs than 1-800 and may therefore be able to underprice it.  1-800 may thus find that it loses sales to rivals who are not more efficient than it is but have lower costs because they have relied on 1-800’s own efforts.

If market pioneers like 1-800 cannot stop this sort of free-riding, they will have less incentive to make the investments that create new markets and develop strong trade names. The restrictions in the 1-800 settlements were simply an effort to prevent inefficient free-riding while otherwise preserving the parties’ freedom to advertise. They were a narrowly tailored solution to a problem that hurt 1-800 and reduced incentives for future investments in market-developing activities that inure to the benefit of consumers.

Rule of reason analysis would have allowed the FTC to assess the full market effects of 1-800’s settlements. The Commission’s truncated assessment, which was inconsistent with Supreme Court decisions on when a quick look will suffice, condemned conduct that was likely procompetitive. The Second Circuit should vacate the FTC’s order.

The full amicus brief, primarily drafted by WLF’s Corbin Barthold and joined by Richard Epstein, Keith Hylton, Geoff Manne, Hal Singer, and me, is here.

It might surprise some readers to learn that we think the Court’s decision today in Apple v. Pepper reaches — superficially — the correct result. But, we hasten to add, the Court’s reasoning (and, for that matter, the dissent’s) is completely wrongheaded. It would be an understatement to say that the Court reached the right result for the wrong reason; in fact, the Court’s analysis wasn’t even in the same universe as the correct reasoning.

Below we lay out our assessment, in a post drawn from an article forthcoming in the Nebraska Law Review.

Did the Court forget that, just last year, it decided Amex, the most significant U.S. antitrust case in ages?

What is most remarkable about the decision (and the dissent) is that neither mentions Ohio v. Amex, nor even the two-sided market context in which the transactions at issue take place.

If the decision in Apple v. Pepper hewed to the precedent established by Ohio v. Amex it would start with the observation that the relevant market analysis for the provision of app services is an integrated one, in which the overall effect of Apple’s conduct on both app users and app developers must be evaluated. A crucial implication of the Amex decision is that participants on both sides of a transactional platform are part of the same relevant market, and the terms of their relationship to the platform are inextricably intertwined.

Under this conception of the market, it’s difficult to maintain that either side does not have standing to sue the platform for the terms of its overall pricing structure, whether the specific terms at issue apply directly to that side or not. Both end users and app developers are “direct” purchasers from Apple — of different products, but in a single, inextricably interrelated market. Both groups should have standing.

More controversially, the logic of Amex also dictates that both groups should be able to establish antitrust injury — harm to competition — by showing harm to either group, as long as it establishes the requisite interrelatedness of the two sides of the market.

We believe that the Court was correct to decide in Amex that effects falling on the “other” side of a tightly integrated, two-sided market from challenged conduct must be addressed by the plaintiff in making its prima facie case. But that outcome entails a market definition that places both sides of such a market in the same relevant market for antitrust analysis.

As a result, the Court’s holding in Amex should also have required a finding in Apple v. Pepper that an app user on one side of the platform who transacts with an app developer on the other side of the market, in a transaction made possible and directly intermediated by Apple’s App Store, should similarly be deemed in the same market for standing purposes.

Relative to a strict construction of the traditional baseline, the former entails imposing an additional burden on two-sided market plaintiffs, while the latter entails a lessening of that burden. Whether the net effect is more or fewer successful cases in two-sided markets is unclear, of course. But from the perspective of aligning evidentiary and substantive doctrine with economic reality such an approach would be a clear improvement.

Critics accuse the Court of making antitrust cases unwinnable against two-sided market platforms thanks to Amex’s requirement that a prima facie showing of anticompetitive effect requires assessment of the effects on both sides of a two-sided market and proof of a net anticompetitive outcome. The critics should have been chastened by a proper decision in Apple v. Pepper. As it is, the holding (although not the reasoning) still may serve to undermine their fears.

But critics should have recognized that a necessary corollary of Amex’s “expanded” market definition is that, relative to previous standing doctrine, a greater number of prospective parties should have standing to sue.

More important, the Court in Apple v. Pepper should have recognized this. Although nominally limited to the indirect purchaser doctrine, the case presented the Court with an opportunity to grapple with this logical implication of its Amex decision. It failed to do so.

On the merits, it looks like Apple should win. But, for much the same reason, the Respondents in Apple v. Pepper should have standing

This does not, of course, mean that either party should win on the merits. Indeed, on the merits of the case, the Petitioner in Apple v. Pepper appears to have the stronger argument, particularly in light of Amex which (assuming the App Store is construed as some species of a two-sided “transaction” market) directs that Respondent has the burden of considering harms and efficiencies across both sides of the market.

At least on the basis of the limited facts as presented in the case thus far, Respondents have not remotely met their burden of proving anticompetitive effects in the relevant market.

The actual question presented in Apple v. Pepper concerns standing, not whether the plaintiffs have made out a viable case on the merits. Thus it may seem premature to consider aspects of the latter in addressing the former. But the structure of the market considered by the court should be consistent throughout its analysis.

Adjustments to standing in the context of two-sided markets must be made in concert with the nature of the substantive rule of reason analysis that will be performed in a case. The two doctrines are connected not only by the just demands for consistency, but by the error-cost framework of the overall analysis, which runs throughout the stages of an antitrust case.

Here, the two-sided markets approach in Amex properly understands that conduct by a platform has relevant effects on both sides of its interrelated two-sided market. But that stems from the actual economics of the platform; it is not merely a function of a judicial construct. It thus holds true at all stages of the analysis.

The implication for standing is that users on both sides of a two-sided platform may suffer similarly direct (or indirect) injury as a result of the platform’s conduct, regardless of the side to which that conduct is nominally addressed.

The consequence, then, of Amex’s understanding of the market is that more potential plaintiffs — specifically, plaintiffs on both sides of a two-sided market — may claim to suffer antitrust injury.

Why the myopic focus of the holding (and dissent) on Illinois Brick is improper: It’s about the market definition, stupid!

Moreover, because of the Amex understanding, the problem of analyzing the pass-through of damages at issue in Illinois Brick (with which the Court entirely occupies itself in Apple v. Pepper) is either mitigated or inevitable.

In other words, either the users on the different sides of a two-sided market suffer direct injury without pass-through under a proper definition of the relevant market, or else their interrelatedness is so strong that, complicated as it may be, the needs of substantive accuracy trump the administrative costs in sorting out the incidence of the costs, and courts cannot avoid them.

Illinois Brick’s indirect purchaser doctrine was designed for an environment in which the relationship between producers and consumers is mediated by a distributor in a direct, linear supply chain; it was not designed for platforms. Although the question presented in Apple v. Pepper is explicitly about whether the Illinois Brick “indirect purchaser” doctrine applies to the Apple App Store, that determination is contingent on the underlying product market definition (whether the product market is in fact well-specified by the parties and the court or not).

Particularly where intermediaries exist precisely to address transaction costs between “producers” and “consumers,” the platform services they provide may be central to the underlying claim in a way that the traditional direct/indirect filters — and their implied relevant markets — miss.

Further, the Illinois Brick doctrine was itself based not on the substantive necessity of cutting off liability evaluations at a particular level of distribution, but on administrability concerns. In particular, the Court was concerned with preventing duplicative recovery when there were many potential groups of plaintiffs, as well as preventing injustices that would occur if unknown groups of plaintiffs inadvertently failed to have their rights adequately adjudicated in absentia. It was also concerned with avoiding needlessly complicated damages calculations.

But, almost by definition, the tightly coupled nature of the two sides of a two-sided platform should mitigate the concerns about duplicative recovery and unknown parties. Moreover, much of the presumed complexity in damages calculations in a platform setting arise from the nature of the platform itself. Assessing and apportioning damages may be complicated, but such is the nature of complex commercial relationships — the same would be true, for example, of damages calculations between vertically integrated companies that transact simultaneously at multiple levels, or between cross-licensing patent holders/implementers. In fact, if anything, the judicial efficiency concerns in Illinois Brick point toward the increased importance of properly assessing the nature of the product or service of the platform in order to ensure that it accurately encompasses the entire relevant transaction.

Put differently, under a proper, more-accurate market definition, the “direct” and “indirect” labels don’t necessarily reflect either business or antitrust realities.

Where the Court in Apple v. Pepper really misses the boat is in its overly formalistic claim that the business model (and thus the product) underlying the complained-of conduct doesn’t matter:

[W]e fail to see why the form of the upstream arrangement between the manufacturer or supplier and the retailer should determine whether a monopolistic retailer can be sued by a downstream consumer who has purchased a good or service directly from the retailer and has paid a higher-than-competitive price because of the retailer’s unlawful monopolistic conduct.

But Amex held virtually the opposite:

Because “[l]egal presumptions that rest on formalistic distinctions rather than actual market realities are generally disfavored in antitrust law,” courts usually cannot properly apply the rule of reason without an accurate definition of the relevant market.

* * *

Price increases on one side of the platform likewise do not suggest anticompetitive effects without some evidence that they have increased the overall cost of the platform’s services. Thus, courts must include both sides of the platform—merchants and cardholders—when defining the credit-card market.

In the face of novel business conduct, novel business models, and novel economic circumstances, the degree of substantive certainty may be eroded, as may the reasonableness of the expectation that typical evidentiary burdens accurately reflect competitive harm. Modern technology — and particularly the platform business model endemic to many modern technology firms — presents a need for courts to adjust their doctrines in the face of such novel issues, even if doing so adds additional complexity to the analysis.

The unlearned market-definition lesson of the Eighth Circuit’s Campos v. Ticketmaster dissent

The Eight Circuit’s Campos v. Ticketmaster case demonstrates the way market definition shapes the application of the indirect purchaser doctrine. Indeed, the dissent in that case looms large in the Ninth Circuit’s decision in Apple v. Pepper. [Full disclosure: One of us (Geoff) worked on the dissent in Campos v. Ticketmaster as a clerk to Eighth Circuit judge Morris S. Arnold]

In Ticketmaster, the plaintiffs alleged that Ticketmaster abused its monopoly in ticket distribution services to force supracompetitve charges on concert venues — a practice that led to anticompetitive prices for concert tickets. Although not prosecuted as a two-sided market, the business model is strikingly similar to the App Store model, with Ticketmaster charging fees to venues and then facilitating ticket purchases between venues and concert goers.

As the dissent noted, however:

The monopoly product at issue in this case is ticket distribution services, not tickets.

Ticketmaster supplies the product directly to concert-goers; it does not supply it first to venue operators who in turn supply it to concert-goers. It is immaterial that Ticketmaster would not be supplying the service but for its antecedent agreement with the venues.

But it is quite relevant that the antecedent agreement was not one in which the venues bought some product from Ticketmaster in order to resell it to concert-goers.

More important, and more telling, is the fact that the entirety of the monopoly overcharge, if any, is borne by concert-goers.

In contrast to the situations described in Illinois Brick and the literature that the court cites, the venues do not pay the alleged monopoly overcharge — in fact, they receive a portion of that overcharge from Ticketmaster. (Emphasis added).

Thus, if there was a monopoly overcharge it was really borne entirely by concert-goers. As a result, apportionment — the complexity of which gives rise to the standard in Illinois Brick — was not a significant issue. And the antecedent transaction that allegedly put concertgoers in an indirect relationship with Ticketmaster is one in which Ticketmaster and concert venues divvied up the alleged monopoly spoils, not one in which the venues absorb their share of the monopoly overcharge.

The analogy to Apple v. Pepper is nearly perfect. Apple sits between developers on one side and consumers on the other, charges a fee to developers for app distribution services, and facilitates app sales between developers and users. It is possible to try to twist the market definition exercise to construe the separate contracts between developers and Apple on one hand, and the developers and consumers on the other, as some sort of complicated version of the classical manufacturing and distribution chains. But, more likely, it is advisable to actually inquire into the relevant factual differences that underpin Apple’s business model and adapt how courts consider market definition for two-sided platforms.

Indeed, Hanover Shoe and Illinois Brick were born out of a particular business reality in which businesses structured themselves in what are now classical production and distribution chains. The Supreme Court adopted the indirect purchaser rule as a prudential limitation on antitrust law in order to optimize the judicial oversight of such cases. It seems strangely nostalgic to reflexively try to fit new business methods into old legal analyses, when prudence and reality dictate otherwise.

The dissent in Ticketmaster was ahead of its time insofar as it recognized that the majority’s formal description of the ticket market was an artifact of viewing what was actually something much more like a ticket-services platform operated by Ticketmaster through the poor lens of the categories established decades earlier.

The Ticketmaster dissent’s observations demonstrate that market definition and antitrust standing are interrelated. It makes no sense to adhere to a restrictive reading of the latter if it connotes an economically improper understanding of the former. Ticketmaster provided an intermediary service — perhaps not quite a two-sided market, but something close — that stands outside a traditional manufacturing supply chain. Had it been offered by the venues themselves and bundled into the price of concert tickets there would be no question of injury and of standing (nor would market definition matter much, as both tickets and distribution services would be offered as a joint product by the same parties, in fixed proportions).

What antitrust standing doctrine should look like after Amex

There are some clear implications for antitrust doctrine that (should) follow from the preceding discussion.

A plaintiff has a choice to allege that a defendant operates either as a two-sided market or in a more traditional, linear chain during the pleading stage. If the plaintiff alleges a two-sided market, then, to demonstrate standing, it need only be shown that injury occurred to some subset of platform users with which the plaintiff is inextricably interrelated. The plaintiff would not need to demonstrate injury to him or herself, nor allege net harm, nor show directness.

In response, a defendant can contest standing by challenging the interrelatedness of the plaintiff and the group of platform users with whom the plaintiff claims interrelatedness. If the defendant does not challenge the allegation that it operates a two-sided market, it could not challenge standing by showing indirectness, that plaintiff had not alleged personal injury, or that plaintiff hasn’t alleged a net harm.

Once past a determination of standing, however, a plaintiff who pleads a two-sided market would not be able to later withdraw this allegation in order to lessen the attendant legal burdens.

If the court accepts that the defendant is operating a two-sided market, both parties would be required to frame their allegations and defenses in accordance with the nature of the two-sided market and thus the holding in Amex. This is critical because, whereas alleging a two-sided market may make it easier for plaintiffs to demonstrate standing, Amex’s requirement that net harm be demonstrated across interrelated sets of users makes it more difficult for plaintiffs to present a viable prima facie case. Further, defendants would not be barred from presenting efficiencies defenses based on benefits that interrelated users enjoy.

Conclusion: The Court in Apple v. Pepper should have acknowledged the implications of its holding in Amex

After Amex, claims against two-sided platforms might require more evidence to establish anticompetitive harm, but that business model also means that firms should open themselves up to a larger pool of potential plaintiffs. The legal principles still apply, but the relative importance of those principles to judicial outcomes shifts (or should shift) in line with the unique economic position of potential plaintiffs and defendants in a platform environment.

Whether a priori the net result is more or fewer cases and more or fewer victories for plaintiffs is not the issue; what matters is matching the legal and economic theory to the relevant facts in play. Moreover, decrying Amex as the end of antitrust was premature: the actual affect on injured parties can’t be known until other changes (like standing for a greater number of plaintiffs) are factored into the analysis. The Court’s holding in Apple v. Pepper sidesteps this issue entirely, and thus fails to properly move antitrust doctrine forward in line with its holding in Amex.

Of course, it’s entirely possible that platforms and courts might be inundated with expensive and difficult to manage lawsuits. There may be reasons of administrability for limiting standing (as Illinois Brick perhaps prematurely did for fear of the costs of courts’ managing suits). But then that should have been the focus of the Court’s decision.

Allowing standing in Apple v. Pepper permits exactly the kind of legal experimentation needed to enable the evolution of antitrust doctrine along with new business realities. But in some ways the Court reached the worst possible outcome. It announced a rule that permits more plaintiffs to establish standing, but it did not direct lower courts to assess standing within the proper analytical frame. Instead, it just expands standing in a manner unmoored from the economic — and, indeed, judicial — context. That’s not a recipe for the successful evolution of antitrust doctrine.

The once-mighty Blockbuster video chain is now down to a single store, in Bend, Oregon. It appears to be the only video rental store in Bend, aside from those offering “adult” features. Does that make Blockbuster a monopoly?

It seems almost silly to ask if the last firm in a dying industry is a monopolist. But, it’s just as silly to ask if the first firm in an emerging industry is a monopolist. They’re silly questions because they focus on the monopoly itself, rather than the alternative—what if the firm, and therefore the industry—did not exist at all.

A recent post on CEPR’s Vox blog points out something very obvious, but often forgotten: “The deadweight loss from a monopolist’s not producing at all can be much greater than from charging too high a price.”

The figure below is from the post, by Michael Kremer, Christopher Snyder, and Albert Chen. With monopoly pricing (and no price discrimination), consumer surplus is given by CS, profit is given by ∏, and a deadweight loss given by H.

The authors point out if fixed costs (or entry costs) are so high that the firm does not enter the market, the deadweight loss is equal to CS + H.

Too often, competition authorities fall for the Nirvana Fallacy, a tendency to compare messy, real-world economic circumstances today to idealized potential alternatives and to justify policies on the basis of the discrepancy between the real world and some alternative perfect (or near-perfect) world.

In 2005, Blockbuster dropped its bid to acquire competing Hollywood Entertainment Corporation, the then-second-largest video rental chain. Blockbuster said it expected the Federal Trade Commission would reject the deal on antitrust grounds. The merged companies would have made up more than 50 percent of the home video rental market.

Five years later Blockbuster, Hollywood, and third-place Movie Gallery had all filed for bankruptcy.

Blockbuster’s then-CEO, John Antioco, has been ridiculed for passing up an opportunity to buy Netflix for $50 million in 2005. But, Blockbuster knew its retail world was changing and had thought a consolidation might help it survive that change.

But, just as Antioco can be chided for undervaluing Netflix, so should the FTC. The regulators were so focused on Blockbuster-Hollywood market share that they undervalued the competitive pressure Netflix and other services were bringing. With hindsight, it seems obvious that the Blockbuster’s post-merger market share would not have conveyed any significant power over price. What’s not known is whether the merger would have put off the bankruptcy of the three largest video rental retailers.

Also, what’s not known is the extent to which consumers are better or worse off with the exit of Blockbuster, Hollywood, and Movie Gallery.

Nevertheless, the video rental business highlights a key point in an earlier TOTM post: A great deal of competition comes from the flanks, rather than head-on. Head-on competition from rental kiosks, such as Redbox, nibbled at the sales and margins of Blockbuster, Hollywood, and Movie Gallery. But, the real killer of the bricks-and-mortar stores came from a wide range of streaming services.

The lesson for regulators is that competition is nearly always and everywhere present, even if it’s standing on the sidelines.

Zoom, one of Silicon Valley’s lesser-known unicorns, has just gone public. At the time of writing, its shares are trading at about $65.70, placing the company’s value at $16.84 billion. There are good reasons for this success. According to its Form S-1, Zoom’s revenue rose from about $60 million in 2017 to a projected $330 million in 2019, and the company has already surpassed break-even . This growth was notably fueled by a thriving community of users who collectively spend approximately 5 billion minutes per month in Zoom meetings.

To get to where it is today, Zoom had to compete against long-established firms with vast client bases and far deeper pockets. These include the likes of Microsoft, Cisco, and Google. Further complicating matters, the video communications market exhibits some prima facie traits that are typically associated with the existence of network effects. For instance, the value of Skype to one user depends – at least to some extent – on the number of other people that might be willing to use the network. In these settings, it is often said that positive feedback loops may cause the market to tip in favor of a single firm that is then left with an unassailable market position. Although Zoom still faces significant competitive challenges, it has nonetheless established a strong position in a market previously dominated by powerful incumbents who could theoretically count on network effects to stymie its growth.

Further complicating matters, Zoom chose to compete head-on with these incumbents. It did not create a new market or a highly differentiated product. Zoom’s Form S-1 is quite revealing. The company cites the quality of its product as its most important competitive strength. Similarly, when listing the main benefits of its platform, Zoom emphasizes that its software is “easy to use”, “easy to deploy and manage”, “reliable”, etc. In its own words, Zoom has thus gained a foothold by offering an existing service that works better than that of its competitors.

And yet, this is precisely the type of story that a literal reading of the network effects literature would suggest is impossible, or at least highly unlikely. For instance, the foundational papers on network effects often cite the example of the DVORAK keyboard (David, 1985; and Farrell & Saloner, 1985). These early scholars argued that, despite it being the superior standard, the DVORAK layout failed to gain traction because of the network effects protecting the QWERTY standard. In other words, consumers failed to adopt the superior DVORAK layout because they were unable to coordinate on their preferred option. It must be noted, however, that the conventional telling of this story was forcefully criticized by Liebowitz & Margolis in their classic 1995 article, The Fable of the Keys.

Despite Liebowitz & Margolis’ critique, the dominance of the underlying network effects story persists in many respects. And in that respect, the emergence of Zoom is something of a cautionary tale. As influential as it may be, the network effects literature has tended to overlook a number of factors that may mitigate, or even eliminate, the likelihood of problematic outcomes. Zoom is yet another illustration that policymakers should be careful when they make normative inferences from positive economics.

A Coasian perspective

It is now widely accepted that multi-homing and the absence of switching costs can significantly curtail the potentially undesirable outcomes that are sometimes associated with network effects. But other possibilities are often overlooked. For instance, almost none of the foundational network effects papers pay any notice to the application of the Coase theorem (though it has been well-recognized in the two-sided markets literature).

Take a purported market failure that is commonly associated with network effects: an installed base of users prevents the market from switching towards a new standard, even if it is superior (this is broadly referred to as “excess inertia,” while the opposite scenario is referred to as “excess momentum”). DVORAK’s failure is often cited as an example.

Astute readers will quickly recognize that this externality problem is not fundamentally different from those discussed in Ronald Coase’s masterpiece, “The Problem of Social Cost,” or Steven Cheung’s “The Fable of the Bees” (to which Liebowitz & Margolis paid homage in their article’s title). In the case at hand, there are at least two sets of externalities at play. First, early adopters of the new technology impose a negative externality on the old network’s installed base (by reducing its network effects), and a positive externality on other early adopters (by growing the new network). Conversely, installed base users impose a negative externality on early adopters and a positive externality on other remaining users.

Describing these situations (with a haughty confidence reminiscent of Paul Samuelson and Arthur Cecil Pigou), Joseph Farrell and Garth Saloner conclude that:

In general, he or she [i.e. the user exerting these externalities] does not appropriately take this into account.

Similarly, Michael Katz and Carl Shapiro assert that:

In terms of the Coase theorem, it is very difficult to design a contract where, say, the (potential) future users of HDTV agree to subsidize today’s buyers of television sets to stop buying NTSC sets and start buying HDTV sets, thereby stimulating the supply of HDTV programming.

And yet it is far from clear that consumers and firms can never come up with solutions that mitigate these problems. As Daniel Spulber has suggested, referral programs offer a case in point. These programs usually allow early adopters to receive rewards in exchange for bringing new users to a network. One salient feature of these programs is that they do not simply charge a lower price to early adopters; instead, in order to obtain a referral fee, there must be some agreement between the early adopter and the user who is referred to the platform. This leaves ample room for the reallocation of rewards. Users might, for instance, choose to split the referral fee. Alternatively, the early adopter might invest time to familiarize the switching user with the new platform, hoping to earn money when the user jumps ship. Both of these arrangements may reduce switching costs and mitigate externalities.

Danial Spulber also argues that users may coordinate spontaneously. For instance, social groups often decide upon the medium they will use to communicate. Families might choose to stay on the same mobile phone network. And larger groups (such as an incoming class of students) may agree upon a social network to share necessary information, etc. In these contexts, there is at least some room to pressure peers into adopting a new platform.

Finally, firms and other forms of governance may also play a significant role. For instance, employees are routinely required to use a series of networked goods. Common examples include office suites, email clients, social media platforms (such as Slack), or video communications applications (Zoom, Skype, Google Hangouts, etc.). In doing so, firms presumably act as islands of top-down decision-making and impose those products that maximize the collective preferences of employers and employees. Similarly, a single firm choosing to join a network (notably by adopting a standard) may generate enough momentum for a network to gain critical mass. Apple’s decisions to adopt USB-C connectors on its laptops and to ditch headphone jacks on its iPhones both spring to mind. Likewise, it has been suggested that distributed ledger technology and initial coin offerings may facilitate the creation of new networks. The intuition is that so-called “utility tokens” may incentivize early adopters to join a platform, despite initially weak network effects, because they expect these tokens to increase in value as the network expands.

A combination of these arrangements might explain how Zoom managed to grow so rapidly, despite the presence of powerful incumbents. In its own words:

Our rapid adoption is driven by a virtuous cycle of positive user experiences. Individuals typically begin using our platform when a colleague or associate invites them to a Zoom meeting. When attendees experience our platform and realize the benefits, they often become paying customers to unlock additional functionality.

All of this is not to say that network effects will always be internalized through private arrangements, but rather that it is equally wrong to assume that transaction costs systematically prevent efficient coordination among users.

Misguided regulatory responses

Over the past couple of months, several antitrust authorities around the globe have released reports concerning competition in digital markets (UK, EU, Australia), or held hearings on this topic (US). A recurring theme throughout their published reports is that network effects almost inevitably weaken competition in digital markets.

For instance, the report commissioned by the European Commission mentions that:

Because of very strong network externalities (especially in multi-sided platforms), incumbency advantage is important and strict scrutiny is appropriate. We believe that any practice aimed at protecting the investment of a dominant platform should be minimal and well targeted.

The Australian Competition & Consumer Commission concludes that:

There are considerable barriers to entry and expansion for search platforms and social media platforms that reinforce and entrench Google and Facebook’s market power. These include barriers arising from same-side and cross-side network effects, branding, consumer inertia and switching costs, economies of scale and sunk costs.

Finally, a panel of experts in the United Kingdom found that:

Today, network effects and returns to scale of data appear to be even more entrenched and the market seems to have stabilised quickly compared to the much larger degree of churn in the early days of the World Wide Web.

To address these issues, these reports suggest far-reaching policy changes. These include shifting the burden of proof in competition cases from authorities to defendants, establishing specialized units to oversee digital markets, and imposing special obligations upon digital platforms.

The story of Zoom’s emergence and the important insights that can be derived from the Coase theorem both suggest that these fears may be somewhat overblown.

Rivals do indeed find ways to overthrow entrenched incumbents with some regularity, even when these incumbents are shielded by network effects. Of course, critics may retort that this is not enough, that competition may sometimes arrive too late (excess inertia, i.e., “ a socially excessive reluctance to switch to a superior new standard”) or too fast (excess momentum, i.e., “the inefficient adoption of a new technology”), and that the problem is not just one of network effects, but also one of economies of scale, information asymmetry, etc. But this comes dangerously close to the Nirvana fallacy. To begin, it assumes that regulators are able to reliably navigate markets toward these optimal outcomes — which is questionable, at best. Moreover, the regulatory cost of imposing perfect competition in every digital market (even if it were possible) may well outweigh the benefits that this achieves. Mandating far-reaching policy changes in order to address sporadic and heterogeneous problems is thus unlikely to be the best solution.

Instead, the optimal policy notably depends on whether, in a given case, users and firms can coordinate their decisions without intervention in order to avoid problematic outcomes. A case-by-case approach thus seems by far the best solution.

And competition authorities need look no further than their own decisional practice. The European Commission’s decision in the Facebook/Whatsapp merger offers a good example (this was before Margrethe Vestager’s appointment at DG Competition). In its decision, the Commission concluded that the fast-moving nature of the social network industry, widespread multi-homing, and the fact that neither Facebook nor Whatsapp controlled any essential infrastructure, prevented network effects from acting as a barrier to entry. Regardless of its ultimate position, this seems like a vastly superior approach to competition issues in digital markets. The Commission adopted a similar reasoning in the Microsoft/Skype merger. Unfortunately, the Commission seems to have departed from this measured attitude in more recent decisions. In the Google Search case, for example, the Commission assumes that the mere existence of network effects necessarily increases barriers to entry:

The existence of positive feedback effects on both sides of the two-sided platform formed by general search services and online search advertising creates an additional barrier to entry.

A better way forward

Although the positive economics of network effects are generally correct and most definitely useful, some of the normative implications that have been derived from them are deeply flawed. Too often, policymakers and commentators conclude that these potential externalities inevitably lead to stagnant markets where competition is unable to flourish. But this does not have to be the case. The emergence of Zoom shows that superior products may prosper despite the presence of strong incumbents and network effects.

Basing antitrust policies on sweeping presumptions about digital competition – such as the idea that network effects are rampant or the suggestion that online platforms necessarily imply “extreme returns to scale” – is thus likely to do more harm than good. Instead, Antitrust authorities should take a leaf out of Ronald Coase’s book, and avoid blackboard economics in favor of a more granular approach.

[TOTM: The following is the third in a series of posts by TOTM guests and authors on the FTC v. Qualcomm case, currently awaiting decision by Judge Lucy Koh in the Northern District of California. The entire series of posts is available here.

This post is authored by Douglas H. Ginsburg, Professor of Law, Antonin Scalia Law School at George Mason University; Senior Judge, United States Court of Appeals for the District of Columbia Circuit; and former Assistant Attorney General in charge of the Antitrust Division of the U.S. Department of Justice; and Joshua D. Wright, University Professor, Antonin Scalia Law School at George Mason University; Executive Director, Global Antitrust Institute; former U.S. Federal Trade Commissioner from 2013-15; and one of the founding bloggers at Truth on the Market.]

[Ginsburg & Wright: Professor Wright is recused from participation in the FTC litigation against Qualcomm, but has provided counseling advice to Qualcomm concerning other regulatory and competition matters. The views expressed here are our own and neither author received financial support.]

The Department of Justice Antitrust Division (DOJ) and Federal Trade Commission (FTC) have spent a significant amount of time in federal court litigating major cases premised upon an anticompetitive foreclosure theory of harm. Bargaining models, a tool used commonly in foreclosure cases, have been essential to the government’s theory of harm in these cases. In vertical merger or conduct cases, the core theory of harm is usually a variant of the claim that the transaction (or conduct) strengthens the firm’s incentives to engage in anticompetitive strategies that depend on negotiations with input suppliers. Bargaining models are a key element of the agency’s attempt to establish those claims and to predict whether and how firm incentives will affect negotiations with input suppliers, and, ultimately, the impact on equilibrium prices and output. Application of bargaining models played a key role in evaluating the anticompetitive foreclosure theories in the DOJ’s litigation to block the proposed merger of AT&T and Time Warner Cable. A similar model is at the center of the FTC’s antitrust claims against Qualcomm and its patent licensing business model.

Modern antitrust analysis does not condemn business practices as anticompetitive without solid economic evidence of an actual or likely harm to competition. This cautious approach was developed in the courts for two reasons. The first is that the difficulty of distinguishing between procompetitive and anticompetitive explanations for the same conduct suggests there is a high risk of error. The second is that those errors are more likely to be false positives than false negatives because empirical evidence and judicial learning have established that unilateral conduct is usually either procompetitive or competitively neutral. In other words, while the risk of anticompetitive foreclosure is real, courts have sensibly responded by requiring plaintiffs to substantiate their claims with more than just theory or scant evidence that rivals have been harmed.

An economic model can help establish the likelihood and/or magnitude of competitive harm when the model carefully captures the key institutional features of the competition it attempts to explain. Naturally, this tends to mean that the economic theories and models proffered by dueling economic experts to predict competitive effects take center stage in antitrust disputes. The persuasiveness of an economic model turns on the robustness of its assumptions about the underlying market. Model predictions that are inconsistent with actual market evidence give one serious pause before accepting the results as reliable.

For example, many industries are characterized by bargaining between providers and distributors. The Nash bargaining framework can be used to predict the outcomes of bilateral negotiations based upon each party’s bargaining leverage. The model assumes that both parties are better off if an agreement is reached, but that as the utility of one party’s outside option increases relative to the bargain, it will capture an increasing share of the surplus. Courts have had to reconcile these seemingly complicated economic models with prior case law and, in some cases, with direct evidence that is apparently inconsistent with the results of the model.

Indeed, Professor Carl Shapiro recently used bargaining models to analyze harm to competition in two prominent cases alleging anticompetitive foreclosure—one initiated by the DOJ and one by the FTC—in which he served as the government’s expert economist. In United States v. AT&T Inc., Dr. Shapiro testified that the proposed transaction between AT&T and Time Warner would give the vertically integrated company leverage to extract higher prices for content from AT&T’s rival, Dish Network. Soon after, Dr. Shapiro presented a similar bargaining model in FTC v. Qualcomm Inc. He testified that Qualcomm leveraged its monopoly power over chipsets to extract higher royalty rates from smartphone OEMs, such as Apple, wishing to license its standard essential patents (SEPs). In each case, Dr. Shapiro’s models were criticized heavily by the defendants’ expert economists for ignoring market realities that play an important role in determining whether the challenged conduct was likely to harm competition.

Judge Leon’s opinion in AT&T/Time Warner—recently upheld on appeal—concluded that Dr. Shapiro’s application of the bargaining model was significantly flawed, based upon unreliable inputs, and undermined by evidence about actual market performance presented by defendant’s expert, Dr. Dennis Carlton. Dr. Shapiro’s theory of harm posited that the combined company would increase its bargaining leverage and extract greater affiliate fees for Turner content from AT&T’s distributor rivals. The increase in bargaining leverage was made possible by the threat of a post-merger blackout of Turner content for AT&T’s rivals. This theory rested on the assumption that the combined firm would have reduced financial exposure from a long-term blackout of Turner content and would therefore have more leverage to threaten a blackout in content negotiations. The purpose of his bargaining model was to quantify how much AT&T could extract from competitors subjected to a long-term blackout of Turner content.

Judge Leon highlighted a number of reasons for rejecting the DOJ’s argument. First, Dr. Shapiro’s model failed to account for existing long-term affiliate contracts, post-litigation offers of arbitration agreements, and the increasing competitiveness of the video programming and distribution industry. Second, Dr. Carlton had demonstrated persuasively that previous vertical integration in the video programming and distribution industry did not have a significant effect on content prices. Finally, Dr. Shapiro’s model primarily relied upon three inputs: (1) the total number of subscribers the unaffiliated distributor would lose in the event of a long-term blackout of Turner content, (2) the percentage of the distributor’s lost subscribers who would switch to AT&T as a result of the blackout, and (3) the profit margin AT&T would derive from the subscribers it gained from the blackout. Many of Dr. Shapiro’s inputs necessarily relied on critical assumptions and/or third-party sources. Judge Leon considered and discredited each input in turn. 

The parties in Qualcomm are, as of the time of this posting, still awaiting a ruling. Dr. Shapiro’s model in that case attempts to predict the effect of Qualcomm’s alleged “no license, no chips” policy. He compared the gains from trade OEMs receive when they purchase a chip from Qualcomm and pay Qualcomm a FRAND royalty to license its SEPs with the gains from trade OEMs receive when they purchase a chip from a rival manufacturer and pay a “royalty surcharge” to Qualcomm to license its SEPs. In other words, the FTC’s theory of harm is based upon the premise that Qualcomm is charging a supra-FRAND rate for its SEPs (the“royalty surcharge”) that squeezes the margins of OEMs. That margin squeeze, the FTC alleges, prevents rival chipset suppliers from obtaining a sufficient return when negotiating with OEMs. The FTC predicts the end result is a reduction in competition and an increase in the price of devices to consumers.

Qualcomm, like Judge Leon in AT&T, questioned the robustness of Dr. Shapiro’s model and its predictions in light of conflicting market realities. For example, Dr. Shapiro, argued that the

leverage that Qualcomm brought to bear on the chips shifted the licensing negotiations substantially in Qualcomm’s favor and led to a significantly higher royalty than Qualcomm would otherwise have been able to achieve.

Yet, on cross-examination, Dr. Shapiro declined to move from theory to empirics when asked if he had quantified the effects of Qualcomm’s practice on any other chip makers. Instead, Dr. Shapiro responded that he had not, but he had “reason to believe that the royalty surcharge was substantial” and had “inevitable consequences.” Under Dr. Shapiro’s theory, one would predict that royalty rates were higher after Qualcomm obtained market power.

As with Dr. Carlton’s testimony inviting Judge Leon to square the DOJ’s theory with conflicting historical facts in the industry, Qualcomm’s economic expert, Dr. Aviv Nevo, provided an analysis of Qualcomm’s royalty agreements from 1990-2017, confirming that there was no economic and meaningful difference between the royalty rates during the time frame when Qualcomm was alleged to have market power and the royalty rates outside of that time frame. He also presented evidence that ex ante royalty rates did not increase upon implementation of the CDMA standard or the LTE standard. Moreover, Dr.Nevo testified that the industry itself was characterized by declining prices and increasing output and quality.

Dr. Shapiro’s model in Qualcomm appears to suffer from many of the same flaws that ultimately discredited his model in AT&T/Time Warner: It is based upon assumptions that are contrary to real-world evidence and it does not robustly or persuasively identify anticompetitive effects. Some observers, including our Scalia Law School colleague and former FTC Chairman, Tim Muris, would apparently find it sufficient merely to allege a theoretical “ability to manipulate the marketplace.” But antitrust cases require actual evidence of harm. We think Professor Muris instead captured the appropriate standard in his important article rejecting attempts by the FTC to shortcut its requirement of proof in monopolization cases:

This article does reject, however, the FTC’s attempt to make it easier for the government to prevail in Section 2 litigation. Although the case law is hardly a model of clarity, one point that is settled is that injury to competitors by itself is not a sufficient basis to assume injury to competition …. Inferences of competitive injury are, of course, the heart of per se condemnation under the rule of reason. Although long a staple of Section 1, such truncation has never been a part of Section 2. In an economy as dynamic as ours, now is hardly the time to short-circuit Section 2 cases. The long, and often sorry, history of monopolization in the courts reveals far too many mistakes even without truncation.

Timothy J. Muris, The FTC and the Law of Monopolization, 67 Antitrust L. J. 693 (2000)

We agree. Proof of actual anticompetitive effects rather than speculation derived from models that are not robust to market realities are an important safeguard to ensure that Section 2 protects competition and not merely individual competitors.

The future of bargaining models in antitrust remains to be seen. Judge Leon certainly did not question the proposition that they could play an important role in other cases. Judge Leon closely dissected the testimony and models presented by both experts in AT&T/Time Warner. His opinion serves as an important reminder. As complex economic evidence like bargaining models become more common in antitrust litigation, judges must carefully engage with the experts on both sides to determine whether there is direct evidence on the likely competitive effects of the challenged conduct. Where “real-world evidence,” as Judge Leon called it, contradicts the predictions of a bargaining model, judges should reject the model rather than the reality. Bargaining models have many potentially important antitrust applications including horizontal mergers involving a bargaining component – such as hospital mergers, vertical mergers, and licensing disputes. The analysis of those models by the Ninth and D.C. Circuits will have important implications for how they will be deployed by the agencies and parties moving forward.