Archives For Milton Friedman

Interrogations concerning the role that economic theory should play in policy decisions are nothing new. Milton Friedman famously drew a distinction between “positive” and “normative” economics, notably arguing that theoretical models were valuable, despite their unrealistic assumptions. Kenneth Arrow and Gerard Debreu’s highly theoretical work on General Equilibrium Theory is widely acknowledged as one of the most important achievements of modern economics.

But for all their intellectual value and academic merit, the use of models to inform policy decisions is not uncontroversial. There is indeed a long and unfortunate history of influential economic models turning out to be poor depictions (and predictors) of real-world outcomes.

This raises a key question: should policymakers use economic models to inform their decisions and, if so, how? This post uses the economics of externalities to illustrate both the virtues and pitfalls of economic modeling. Throughout economic history, externalities have routinely been cited to support claims of market failure and calls for government intervention. However, as explained below, these fears have frequently failed to withstand empirical scrutiny.

Today, similar models are touted to support government intervention in digital industries. Externalities are notably said to prevent consumers from switching between platforms, allegedly leading to unassailable barriers to entry and deficient venture-capital investment. Unfortunately, as explained below, the models that underpin these fears are highly abstracted and far removed from underlying market realities.

Ultimately, this post argues that, while models provide a powerful way of thinking about the world, naïvely transposing them to real-world settings is misguided. This is not to say that models are useless—quite the contrary. Indeed, “falsified” models can shed powerful light on economic behavior that would otherwise prove hard to understand.

Bees

Fears surrounding economic externalities are as old as modern economics. For example, in the 1950s, economists routinely cited bee pollination as a source of externalities and, ultimately, market failure.

The basic argument was straightforward: Bees and orchards provide each other with positive externalities. Bees cross-pollinate flowers and orchards contain vast amounts of nectar upon which bees feed, thus improving honey yields. Accordingly, several famous economists argued that there was a market failure; bees fly where they please and farmers cannot prevent bees from feeding on their blossoming flowers—allegedly causing underinvestment in both. This led James Meade to conclude:

[T]he apple-farmer provides to the beekeeper some of his factors free of charge. The apple-farmer is paid less than the value of his marginal social net product, and the beekeeper receives more than the value of his marginal social net product.

A finding echoed by Francis Bator:

If, then, apple producers are unable to protect their equity in apple-nectar and markets do not impute to apple blossoms their correct shadow value, profit-maximizing decisions will fail correctly to allocate resources at the margin. There will be failure “by enforcement.” This is what I would call an ownership externality. It is essentially Meade’s “unpaid factor” case.

It took more than 20 years and painstaking research by Steven Cheung to conclusively debunk these assertions. So how did economic agents overcome this “insurmountable” market failure?

The answer, it turns out, was extremely simple. While bees do fly where they please, the relative placement of beehives and orchards has a tremendous impact on both fruit and honey yields. This is partly because bees have a very limited mean foraging range (roughly 2-3km). This left economic agents with ample scope to prevent free-riding.

Using these natural sources of excludability, they built a web of complex agreements that internalize the symbiotic virtues of beehives and fruit orchards. To cite Steven Cheung’s research

Pollination contracts usually include stipulations regarding the number and strength of the colonies, the rental fee per hive, the time of delivery and removal of hives, the protection of bees from pesticide sprays, and the strategic placing of hives. Apiary lease contracts differ from pollination contracts in two essential aspects. One is, predictably, that the amount of apiary rent seldom depends on the number of colonies, since the farmer is interested only in obtaining the rent per apiary offered by the highest bidder. Second, the amount of apiary rent is not necessarily fixed. Paid mostly in honey, it may vary according to either the current honey yield or the honey yield of the preceding year.

But what of neighboring orchards? Wouldn’t these entail a more complex externality (i.e., could one orchard free-ride on agreements concluded between other orchards and neighboring apiaries)? Apparently not:

Acknowledging the complication, beekeepers and farmers are quick to point out that a social rule, or custom of the orchards, takes the place of explicit contracting: during the pollination period the owner of an orchard either keeps bees himself or hires as many hives per area as are employed in neighboring orchards of the same type. One failing to comply would be rated as a “bad neighbor,” it is said, and could expect a number of inconveniences imposed on him by other orchard owners. This customary matching of hive densities involves the exchange of gifts of the same kind, which apparently entails lower transaction costs than would be incurred under explicit contracting, where farmers would have to negotiate and make money payments to one another for the bee spillover.

In short, not only did the bee/orchard externality model fail, but it failed to account for extremely obvious counter-evidence. Even a rapid flip through the Yellow Pages (or, today, a search on Google) would have revealed a vibrant market for bee pollination. In short, the bee externalities, at least as presented in economic textbooks, were merely an economic “fable.” Unfortunately, they would not be the last.

The Lighthouse

Lighthouses provide another cautionary tale. Indeed, Henry Sidgwick, A.C. Pigou, John Stuart Mill, and Paul Samuelson all cited the externalities involved in the provision of lighthouse services as a source of market failure.

Here, too, the problem was allegedly straightforward. A lighthouse cannot prevent ships from free-riding on its services when they sail by it (i.e., it is mostly impossible to determine whether a ship has paid fees and to turn off the lighthouse if that is not the case). Hence there can be no efficient market for light dues (lighthouses were seen as a “public good”). As Paul Samuelson famously put it:

Take our earlier case of a lighthouse to warn against rocks. Its beam helps everyone in sight. A businessman could not build it for a profit, since he cannot claim a price from each user. This certainly is the kind of activity that governments would naturally undertake.

He added that:

[E]ven if the operators were able—say, by radar reconnaissance—to claim a toll from every nearby user, that fact would not necessarily make it socially optimal for this service to be provided like a private good at a market-determined individual price. Why not? Because it costs society zero extra cost to let one extra ship use the service; hence any ships discouraged from those waters by the requirement to pay a positive price will represent a social economic loss—even if the price charged to all is no more than enough to pay the long-run expenses of the lighthouse.

More than a century after it was first mentioned in economics textbooks, Ronald Coase finally laid the lighthouse myth to rest—rebutting Samuelson’s second claim in the process.

What piece of evidence had eluded economists for all those years? As Coase observed, contemporary economists had somehow overlooked the fact that large parts of the British lighthouse system were privately operated, and had been for centuries:

[T]he right to operate a lighthouse and to levy tolls was granted to individuals by Acts of Parliament. The tolls were collected at the ports by agents (who might act for several lighthouses), who might be private individuals but were commonly customs officials. The toll varied with the lighthouse and ships paid a toll, varying with the size of the vessel, for each lighthouse passed. It was normally a rate per ton (say 1/4d or 1/2d) for each voyage. Later, books were published setting out the lighthouses passed on different voyages and the charges that would be made.

In other words, lighthouses used a simple physical feature to create “excludability” and prevent free-riding. The main reason ships require lighthouses is to avoid hitting rocks when they make their way to a port. By tying port fees and light dues, lighthouse owners—aided by mild government-enforced property rights—could easily earn a return on their investments, thus disproving the lighthouse free-riding myth.

Ultimately, this meant that a large share of the British lighthouse system was privately operated throughout the 19th century, and this share would presumably have been more pronounced if government-run “Trinity House” lighthouses had not crowded out private investment:

The position in 1820 was that there were 24 lighthouses operated by Trinity House and 22 by private individuals or organizations. But many of the Trinity House lighthouses had not been built originally by them but had been acquired by purchase or as the result of the expiration of a lease.

Of course, this system was not perfect. Some ships (notably foreign ones that did not dock in the United Kingdom) might free-ride on this arrangement. It also entailed some level of market power. The ability to charge light dues meant that prices were higher than the “socially optimal” baseline of zero (the marginal cost of providing light is close to zero). Though it is worth noting that tying port fees and light dues might also have decreased double marginalization, to the benefit of sailors.

Samuelson was particularly weary of this market power that went hand in hand with the private provision of public goods, including lighthouses:

Being able to limit a public good’s consumption does not make it a true-blue private good. For what, after all, are the true marginal costs of having one extra family tune in on the program? They are literally zero. Why then prevent any family which would receive positive pleasure from tuning in on the program from doing so?

However, as Coase explained, light fees represented only a tiny fraction of a ship’s costs. In practice, they were thus unlikely to affect market output meaningfully:

[W]hat is the gain which Samuelson sees as coming from this change in the way in which the lighthouse service is financed? It is that some ships which are now discouraged from making a voyage to Britain because of the light dues would in future do so. As it happens, the form of the toll and the exemptions mean that for most ships the number of voyages will not be affected by the fact that light dues are paid. There may be some ships somewhere which are laid up or broken up because of the light dues, but the number cannot be great, if indeed there are any ships in this category.

Samuelson’s critique also falls prey to the Nirvana Fallacy pointed out by Harold Demsetz: markets might not be perfect, but neither is government intervention. Market power and imperfect appropriability are the two (paradoxical) pitfalls of the first; “white elephants,” underinvestment, and lack of competition (and the information it generates) tend to stem from the latter.

Which of these solutions is superior, in each case, is an empirical question that early economists had simply failed to consider—assuming instead that market failure was systematic in markets that present prima facie externalities. In other words, models were taken as gospel without any circumspection about their relevance to real-world settings.

The Tragedy of the Commons

Externalities were also said to undermine the efficient use of “common pool resources,” such grazing lands, common irrigation systems, and fisheries—resources where one agent’s use diminishes that of others, and where exclusion is either difficult or impossible.

The most famous formulation of this problem is Garret Hardin’s highly influential (over 47,000 cites) “tragedy of the commons.” Hardin cited the example of multiple herdsmen occupying the same grazing ground:

The rational herdsman concludes that the only sensible course for him to pursue is to add another animal to his herd. And another; and another … But this is the conclusion reached by each and every rational herdsman sharing a commons. Therein is the tragedy. Each man is locked into a system that compels him to increase his herd without limit—in a world that is limited. Ruin is the destination toward which all men rush, each pursuing his own best interest in a society that believes in the freedom of the commons.

In more technical terms, each economic agent purportedly exerts an unpriced negative externality on the others, thus leading to the premature depletion of common pool resources. Hardin extended this reasoning to other problems, such as pollution and allegations of global overpopulation.

Although Hardin hardly documented any real-world occurrences of this so-called tragedy, his policy prescriptions were unequivocal:

The most important aspect of necessity that we must now recognize, is the necessity of abandoning the commons in breeding. No technical solution can rescue us from the misery of overpopulation. Freedom to breed will bring ruin to all.

As with many other theoretical externalities, empirical scrutiny revealed that these fears were greatly overblown. In her Nobel-winning work, Elinor Ostrom showed that economic agents often found ways to mitigate these potential externalities markedly. For example, mountain villages often implement rules and norms that limit the use of grazing grounds and wooded areas. Likewise, landowners across the world often set up “irrigation communities” that prevent agents from overusing water.

Along similar lines, Julian Morris and I conjecture that informal arrangements and reputational effects might mitigate opportunistic behavior in the standard essential patent industry.

These bottom-up solutions are certainly not perfect. Many common institutions fail—for example, Elinor Ostrom documents several problematic fisheries, groundwater basins and forests, although it is worth noting that government intervention was sometimes behind these failures. To cite but one example:

Several scholars have documented what occurred when the Government of Nepal passed the “Private Forest Nationalization Act” […]. Whereas the law was officially proclaimed to “protect, manage and conserve the forest for the benefit of the entire country”, it actually disrupted previously established communal control over the local forests. Messerschmidt (1986, p.458) reports what happened immediately after the law came into effect:

Nepalese villagers began freeriding — systematically overexploiting their forest resources on a large scale.

In any case, the question is not so much whether private institutions fail, but whether they do so more often than government intervention. be it regulation or property rights. In short, the “tragedy of the commons” is ultimately an empirical question: what works better in each case, government intervention, propertization, or emergent rules and norms?

More broadly, the key lesson is that it is wrong to blindly apply models while ignoring real-world outcomes. As Elinor Ostrom herself put it:

The intellectual trap in relying entirely on models to provide the foundation for policy analysis is that scholars then presume that they are omniscient observers able to comprehend the essentials of how complex, dynamic systems work by creating stylized descriptions of some aspects of those systems.

Dvorak Keyboards

In 1985, Paul David published an influential paper arguing that market failures undermined competition between the QWERTY and Dvorak keyboard layouts. This version of history then became a dominant narrative in the field of network economics, including works by Joseph Farrell & Garth Saloner, and Jean Tirole.

The basic claim was that QWERTY users’ reluctance to switch toward the putatively superior Dvorak layout exerted a negative externality on the rest of the ecosystem (and a positive externality on other QWERTY users), thus preventing the adoption of a more efficient standard. As Paul David put it:

Although the initial lead acquired by QWERTY through its association with the Remington was quantitatively very slender, when magnified by expectations it may well have been quite sufficient to guarantee that the industry eventually would lock in to a de facto QWERTY standard. […]

Competition in the absence of perfect futures markets drove the industry prematurely into standardization on the wrong system — where decentralized decision making subsequently has sufficed to hold it.

Unfortunately, many of the above papers paid little to no attention to actual market conditions in the typewriter and keyboard layout industries. Years later, Stan Liebowitz and Stephen Margolis undertook a detailed analysis of the keyboard layout market. They almost entirely rejected any notion that QWERTY prevailed despite it being the inferior standard:

Yet there are many aspects of the QWERTY-versus-Dvorak fable that do not survive scrutiny. First, the claim that Dvorak is a better keyboard is supported only by evidence that is both scant and suspect. Second, studies in the ergonomics literature find no significant advantage for Dvorak that can be deemed scientifically reliable. Third, the competition among producers of typewriters, out of which the standard emerged, was far more vigorous than is commonly reported. Fourth, there were far more typing contests than just the single Cincinnati contest. These contests provided ample opportunity to demonstrate the superiority of alternative keyboard arrangements. That QWERTY survived significant challenges early in the history of typewriting demonstrates that it is at least among the reasonably fit, even if not the fittest that can be imagined.

In short, there was little to no evidence supporting the view that QWERTY inefficiently prevailed because of network effects. The falsification of this narrative also weakens broader claims that network effects systematically lead to either excess momentum or excess inertia in standardization. Indeed, it is tempting to characterize all network industries with heavily skewed market shares as resulting from market failure. Yet the QWERTY/Dvorak story suggests that such a conclusion would be premature.

Killzones, Zoom, and TikTok

If you are still reading at this point, you might think that contemporary scholars would know better than to base calls for policy intervention on theoretical externalities. Alas, nothing could be further from the truth.

For instance, a recent paper by Sai Kamepalli, Raghuram Rajan and Luigi Zingales conjectures that the interplay between mergers and network externalities discourages the adoption of superior independent platforms:

If techies expect two platforms to merge, they will be reluctant to pay the switching costs and adopt the new platform early on, unless the new platform significantly outperforms the incumbent one. After all, they know that if the entering platform’s technology is a net improvement over the existing technology, it will be adopted by the incumbent after merger, with new features melded with old features so that the techies’ adjustment costs are minimized. Thus, the prospect of a merger will dissuade many techies from trying the new technology.

Although this key behavioral assumption drives the results of the theoretical model, the paper presents no evidence to support the contention that it occurs in real-world settings. Admittedly, the paper does present evidence of reduced venture capital investments after mergers involving large tech firms. But even on their own terms, this data simply does not support the authors’ behavioral assumption.

And this is no isolated example. Over the past couple of years, several scholars have called for more muscular antitrust intervention in networked industries. A common theme is that network externalities, switching costs, and data-related increasing returns to scale lead to inefficient consumer lock-in, thus raising barriers to entry for potential rivals (here, here, here).

But there are also countless counterexamples, where firms have easily overcome potential barriers to entry and network externalities, ultimately disrupting incumbents.

Zoom is one of the most salient instances. As I have written previously:

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.

Along similar lines, Geoffrey Manne and Alec Stapp have put forward a multitude of other examples. These include: The demise of Yahoo; the disruption of early instant-messaging applications and websites; MySpace’s rapid decline; etc. In all these cases, outcomes do not match the predictions of theoretical models.

More recently, TikTok’s rapid rise offers perhaps the greatest example of a potentially superior social-networking platform taking significant market share away from incumbents. According to the Financial Times, TikTok’s video-sharing capabilities and its powerful algorithm are the most likely explanations for its success.

While these developments certainly do not disprove network effects theory, they eviscerate the common belief in antitrust circles that superior rivals are unable to overthrow incumbents in digital markets. Of course, this will not always be the case. As in the previous examples, the question is ultimately one of comparing institutions—i.e., do markets lead to more or fewer error costs than government intervention? Yet this question is systematically omitted from most policy discussions.

In Conclusion

My argument is not that models are without value. To the contrary, framing problems in economic terms—and simplifying them in ways that make them cognizable—enables scholars and policymakers to better understand where market failures might arise, and how these problems can be anticipated and solved by private actors. In other words, models alone cannot tell us that markets will fail, but they can direct inquiries and help us to understand why firms behave the way they do, and why markets (including digital ones) are organized in a given way.

In that respect, both the theoretical and empirical research cited throughout this post offer valuable insights for today’s policymakers.

For a start, as Ronald Coase famously argued in what is perhaps his most famous work, externalities (and market failure more generally) are a function of transaction costs. When these are low (relative to the value of a good), market failures are unlikely. This is perhaps clearest in the “Fable of the Bees” example. Given bees’ short foraging range, there were ultimately few real-world obstacles to writing contracts that internalized the mutual benefits of bees and orchards.

Perhaps more importantly, economic research sheds light on behavior that might otherwise be seen as anticompetitive. The rules and norms that bind farming/beekeeping communities, as well as users of common pool resources, could easily be analyzed as a cartel by naïve antitrust authorities. Yet externality theory suggests they play a key role in preventing market failure.

Along similar lines, mergers and acquisitions (as well as vertical integration, more generally) can reduce opportunism and other externalities that might otherwise undermine collaboration between firms (here, here and here). And much of the same is true for certain types of unilateral behavior. Tying video games to consoles (and pricing the console below cost) can help entrants overcome network externalities that might otherwise shield incumbents. Likewise, Google tying its proprietary apps to the open source Android operating system arguably enabled it to earn a return on its investments, thus overcoming the externality problem that plagues open source software.

All of this raises a tantalizing prospect that deserves far more attention than it is currently given in policy circles: authorities around the world are seeking to regulate the tech space. Draft legislation has notably been tabled in the United States, European Union and the United Kingdom. These draft bills would all make it harder for large tech firms to implement various economic hierarchies, including mergers and certain contractual arrangements.

This is highly paradoxical. If digital markets are indeed plagued by network externalities and high transaction costs, as critics allege, then preventing firms from adopting complex hierarchies—which have traditionally been seen as a way to solve externalities—is just as likely to exacerbate problems. In other words, like the economists of old cited above, today’s policymakers appear to be focusing too heavily on simple models that predict market failure, and far too little on the mechanisms that firms have put in place to thrive within this complex environment.

The bigger picture is that far more circumspection is required when using theoretical models in real-world policy settings. Indeed, as Harold Demsetz famously put it, the purpose of normative economics is not so much to identify market failures, but to help policymakers determine which of several alternative institutions will deliver the best outcomes for consumers:

This nirvana approach differs considerably from a comparative institution approach in which the relevant choice is between alternative real institutional arrangements. In practice, those who adopt the nirvana viewpoint seek to discover discrepancies between the ideal and the real and if discrepancies are found, they deduce that the real is inefficient. Users of the comparative institution approach attempt to assess which alternative real institutional arrangement seems best able to cope with the economic problem […].

Levi A. Russell is Assistant Professor, Agricultural & Applied Economics, University of Georgia and a blogger at Farmer Hayek.

Commenting on Microsoft’s antitrust suit 18 years ago, Milton Friedman said the following:

Your industry, the computer industry, moves so much more rapidly than the legal process, that by the time this suit is over, who knows what the shape of the industry will be.

Though the legal process seems to be moving quickly in the cases of Dow/Dupont, ChemChina/Syngenta, and Bayer/Monsanto, seed technology is moving fast as well. With recent breakthroughs in gene editing, seed technology will be more dynamic, cheaper, and likely subject to far less regulation than the current transgenic technology.

GMO seeds produced using current techniques are primarily designed with specific insect control and herbicide tolerance. Gene editing has the potential to go much further by creating drought and disease tolerance as well as improving yield. It’s difficult to know precisely how this new technology will be integrated into the industry, but its effects are likely to promote innovation from outside the three large firms that will result from the mergers and acquisitions mentioned above.

As in the food industry, small gene editing startups will be able to develop new traits with the intention of being acquired by one of the large firms in the industry. By allowing small firms to enter the seed biotech industry, gene editing will provide the sort of external innovation Joanna Shepherd notes is so important in understanding antitrust cases.

I have been a critic of the Federal Trade Commission’s investigation into Google since it was a gleam in its competitors’ eyes—skeptical that there was any basis for a case, and concerned about the effect on consumers, innovation and investment if a case were brought.

While it took the Commission more than a year and a half to finally come to the same conclusion, ultimately the FTC had no choice but to close the case that was a “square peg, round hole” problem from the start.

Now that the FTC’s investigation has concluded, an examination of the nature of the markets in which Google operates illustrates why this crusade was ill-conceived from the start. In short, the “realities on the ground” strongly challenged the logic and relevance of many of the claims put forth by Google’s critics. Nevertheless, the politics are such that their nonsensical claims continue, in different forums, with competitors continuing to hope that they can wrangle a regulatory solution to their competitive problem.

The case against Google rested on certain assumptions about the functioning of the markets in which Google operates. Because these are tech markets, constantly evolving and complex, most assumptions about the scope of these markets and competitive effects within them are imperfect at best. But there are some attributes of Google’s markets—conveniently left out of the critics’ complaints— that, properly understood, painted a picture for the FTC that undermined the basic, essential elements of an antitrust case against the company.

That case was seriously undermined by the nature and extent of competition in the markets the FTC was investigating. Most importantly, casual references to a “search market” and “search advertising market” aside, Google actually competes in the market for targeted eyeballs: a market aimed to offer up targeted ads to interested users. Search offers a valuable opportunity for targeting an advertiser’s message, but it is by no means alone: there are myriad (and growing) other mechanisms to access consumers online.

Consumers use Google because they are looking for information — but there are lots of ways to do that. There are plenty of apps that circumvent Google, and consumers are increasingly going to specialized sites to find what they are looking for. The search market, if a distinct one ever existed, has evolved into an online information market that includes far more players than those who just operate traditional search engines.

We live in a world where what prevails today won’t prevail tomorrow. The tech industry is constantly changing, and it is the height of folly (and a serious threat to innovation and consumer welfare) to constrain the activities of firms competing in such an environment by pigeonholing the market. In other words, in a proper market, Google looks significantly less dominant. More important, perhaps, as search itself evolves, and as Facebook, Amazon and others get into the search advertising game, Google’s strong position even in the overly narrow “search market” is far from unassailable.

This is progress — creative destruction — not regress, and such changes should not be penalized.

Another common refrain from Google’s critics was that Google’s access to immense amounts of data used to increase the quality of its targeting presented a barrier to competition that no one else could match, thus protecting Google’s unassailable monopoly. But scale comes in lots of ways.

Even if scale doesn’t come cheaply, the fact that challenging firms might have to spend the same (or, in this case, almost certainly less) Google did in order to replicate its success is not a “barrier to entry” that requires an antitrust remedy. Data about consumer interests is widely available (despite efforts to reduce the availability of such data in the name of protecting “privacy”—which might actually create barriers to entry). It’s never been the case that a firm has to generate its own inputs for every product it produces — and there’s no reason to suggest search or advertising is any different.

Additionally, to defend a claim of monopolization, it is generally required to show that the alleged monopolist enjoys protection from competition through barriers to entry. In Google’s case, the barriers alleged were illusory. Bing and other recent entrants in the general search business have enjoyed success precisely because they were able to obtain the inputs (in this case, data) necessary to develop competitive offerings.

Meanwhile unanticipated competitors like Facebook, Amazon, Twitter and others continue to knock at Google’s metaphorical door, all of them entering into competition with Google using data sourced from creative sources, and all of them potentially besting Google in the process. Consider, for example, Amazon’s recent move into the targeted advertising market, competing with Google to place ads on websites across the Internet, but with the considerable advantage of being able to target ads based on searches, or purchases, a user has made on Amazon—the world’s largest product search engine.

Now that the investigation has concluded, we come away with two major findings. First, the online information market is dynamic, and it is a fool’s errand to identify the power or significance of any player in these markets based on data available today — data that is already out of date between the time it is collected and the time it is analyzed.

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

It would be churlish not to give credit where credit is due—and credit is due the FTC. I continue to think the investigation should have ended before it began, of course, but the FTC is to be commended for reaching this result amidst an overwhelming barrage of pressure to “do something.”

But there are others in this sadly politicized mess for whom neither the facts nor the FTC’s extensive investigation process (nor the finer points of antitrust law) are enough. Like my four-year-old daughter, they just “want what they want,” and they will stamp their feet until they get it.

While competitors will be competitors—using the regulatory system to accomplish what they can’t in the market—they do a great disservice to the very customers they purport to be protecting in doing so. As Milton Friedman famously said, in decrying “The Business Community’s Suicidal Impulse“:

As a believer in the pursuit of self-interest in a competitive capitalist system, I can’t blame a businessman who goes to Washington and tries to get special privileges for his company.… Blame the rest of us for being so foolish as to let him get away with it.

I do blame businessmen when, in their political activities, individual businessmen and their organizations take positions that are not in their own self-interest and that have the effect of undermining support for free private enterprise. In that respect, businessmen tend to be schizophrenic. When it comes to their own businesses, they look a long time ahead, thinking of what the business is going to be like 5 to 10 years from now. But when they get into the public sphere and start going into the problems of politics, they tend to be very shortsighted.

Ironically, Friedman was writing about the antitrust persecution of Microsoft by its rivals back in 1999:

Is it really in the self-interest of Silicon Valley to set the government on Microsoft? Your industry, the computer industry, moves so much more rapidly than the legal process, that by the time this suit is over, who knows what the shape of the industry will be.… [Y]ou will rue the day when you called in the government.

Among Microsoft’s chief tormentors was Gary Reback. He’s spent the last few years beating the drum against Google—but singing from the same song book. Reback recently told the Washington Post, “if a settlement were to be proposed that didn’t include search, the institutional integrity of the FTC would be at issue.” Actually, no it wouldn’t. As a matter of fact, the opposite is true. It’s hard to imagine an agency under more pressure, from more quarters (including the Hill), to bring a case around search. Doing so would at least raise the possibility that it were doing so because of pressure and not the merits of the case. But not doing so in the face of such pressure? That can almost only be a function of institutional integrity.

As another of Google’s most-outspoken critics, Tom Barnett, noted:

[The FTC has] really put [itself] in the position where they are better positioned now than any other agency in the U.S. is likely to be in the immediate future to address these issues. I would encourage them to take the issues as seriously as they can. To the extent that they concur that Google has violated the law, there are very good reasons to try to address the concerns as quickly as possible.

As Barnett acknowledges, there is no question that the FTC investigated these issues more fully than anyone. The agency’s institutional culture and its committed personnel, together with political pressure, media publicity and endless competitor entreaties, virtually ensured that the FTC took the issues “as seriously as they [could]” – in fact, as seriously as anyone else in the world. There is simply no reasonable way to criticize the FTC for being insufficiently thorough in its investigation and conclusions.

Nor is there a basis for claiming that the FTC is “standing in the way” of the courts’ ability to review the issue, as Scott Cleland contends in an op-ed in the Hill. Frankly, this is absurd. Google’s competitors have spent millions pressuring the FTC to bring a case. But the FTC isn’t remotely the only path to the courts. As Commissioner Rosch admonished,

They can darn well bring [a case] as a private antitrust action if they think their ox is being gored instead of free-riding on the government to achieve the same result.

Competitors have already beaten a path to the DOJ’s door, and investigations are still pending in the EU, Argentina, several US states, and elsewhere. That the agency that has leveled the fullest and best-informed investigation has concluded that there is no “there” there should give these authorities pause, but, sadly for consumers who would benefit from an end to competitors’ rent seeking, nothing the FTC has done actually prevents courts or other regulators from having a crack at Google.

The case against Google has received more attention from the FTC than the merits of the case ever warranted. It is time for Google’s critics and competitors to move on.

[Crossposted at Forbes.com]