Archives For empirical study

What Can the Stock Market Tell Us About the T-Mobile/Sprint Merger?

Alec Stapp —  14 February 2020

On Monday evening, around 6:00 PM Eastern Standard Time, news leaked that the United States District Court for the Southern District of New York had decided to allow the T-Mobile/Sprint merger to go through, giving the companies a victory over a group of state attorneys general trying to block the deal.

Thomas Philippon, a professor of finance at NYU, used this opportunity to conduct a quick-and-dirty event study on Twitter:

Short thread on T-Mobile/Sprint merger. There were 2 theories:

(A) It’s a 4-to-3 merger that will lower competition and increase markups.

(B) The new merged entity will be able to take on the industry leaders AT&T and Verizon.

(A) and (B) make clear predictions. (A) predicts the merger is good news for AT&T and Verizon’s shareholders. (B) predicts the merger is bad news for AT&T and Verizon’s shareholders. The news leaked at 6pm that the judge would approve the merger. Sprint went up 60% as expected. Let’s test the theories. 

Here is Verizon’s after trading price: Up 2.5%.

Here is ATT after hours: Up 2%.

Conclusion 1: Theory B is bogus, and the merger is a transfer of at least 2%*$280B (AT&T) + 2.5%*$240B (Verizon) = $11.6 billion from the pockets of consumers to the pockets of shareholders. 

Conclusion 2: I and others have argued for a long time that theory B was bogus; this was anticipated. But lobbying is very effective indeed… 

Conclusion 3: US consumers already pay two or three times more than those of other rich countries for their cell phone plans. The gap will only increase.

And just a reminder: these firms invest 0% of the excess profits. 

Philippon published his thread about 40 minutes prior to markets opening for regular trading on Tuesday morning. The Court’s official decision was published shortly before markets opened as well. By the time regular trading began at 9:30 AM, Verizon had completely reversed its overnight increase and opened down from the previous day’s close. While AT&T opened up slightly, it too had given back most of its initial gains. By 11:00 AM, AT&T was also in the red. When markets closed at 4:00 PM on Tuesday, Verizon was down more than 2.5 percent and AT&T was down just under 0.5 percent.

Does this mean that, in fact, theory A is the “bogus” one? Was the T-Mobile/Sprint merger decision actually a transfer of “$7.4 billion from the pockets of shareholders to the pockets of consumers,” as I suggested in my own tongue-in-cheek thread later that day? In this post, I will look at the factors that go into conducting a proper event study.  

What’s the appropriate window for a merger event study?

In a response to my thread, Philippon said, “I would argue that an event study is best done at the time of the event, not 16 hours after. Leak of merger approval 6 pm Monday. AT&T up 2 percent immediately. AT&T still up at open Tuesday. Then comes down at 10am.” I don’t disagree that “an event study is best done at the time of the event.” In this case, however, we need to consider two important details: When was the “event” exactly, and what were the conditions in the financial markets at that time?

This event did not begin and end with the leak on Monday night. The official announcement came Tuesday morning when the full text of the decision was published. This additional information answered a few questions for market participants: 

  • Were the initial news reports true?
  • Based on the text of the decision, what is the likelihood it gets reversed on appeal?
    • Wall Street: “Not all analysts are convinced this story is over just yet. In a note released immediately after the judge’s verdict, Nomura analyst Jeff Kvaal warned that ‘we expect the state AGs to appeal.’ RBC Capital analyst Jonathan Atkin noted that such an appeal, if filed, could delay closing of the merger by ‘an additional 4-5’ months — potentially delaying closure until September 2020.”
  • Did the Court impose any further remedies or conditions on the merger?

As stock traders digested all the information from the decision, Verizon and AT&T quickly went negative. There is much debate in the academic literature about the appropriate window for event studies on mergers. But the range in question is always one of days or weeks — not a couple hours in after hours markets. A recent paper using the event study methodology analyzed roughly 5,000 mergers and found abnormal returns of about positive one percent for competitors in the relevant market following a merger announcement. Notably for our purposes, this small abnormal return builds in the first few days following a merger announcement and persists for up to 30 days, as shown in the chart below:

As with the other studies the paper cites in its literature review, this particular research design included a window of multiple weeks both before and after the event occured. When analyzing the T-Mobile/Sprint merger decision, we should similarly expand the window beyond just a few hours of after hours trading.

How liquid is the after hours market?

More important than the length of the window, however, is the relative liquidity of the market during that time. The after hours market is much thinner than the regular hours market and may not reflect all available information. For some rough numbers, let’s look at data from NASDAQ. For the last five after hours trading sessions, total volume was between 80 and 100 million shares. Let’s call it 90 million on average. By contrast, the total volume for the last five regular trading hours sessions was between 2 and 2.5 billion shares. Let’s call it 2.25 billion on average. So, the regular trading hours have roughly 25 times as much liquidity as the after hours market. 

We could also look at relative liquidity for a single company as opposed to the total market. On Wednesday during regular hours (data is only available for the most recent day), 22.49 million shares of Verizon stock were traded. In after hours trading that same day, fewer than a million shares traded hands. You could change some assumptions and account for other differences in the after market and the regular market when analyzing the data above. But the conclusion remains the same: the regular market is at least an order of magnitude more liquid than the after hours market. This is incredibly important to keep in mind as we compare the after hours price changes (as reported by Philippon) to the price changes during regular trading hours.

What are Wall Street analysts saying about the decision?

To understand the fundamentals behind these stock moves, it’s useful to see what Wall Street analysts are saying about the merger decision. Prior to the ruling, analysts were already worried about Verizon’s ability to compete with the combined T-Mobile/Sprint entity in the short- and medium-term:

Last week analysts at LightShed Partners wrote that if Verizon wins most of the first available tranche of C-band spectrum, it could deploy 60 MHz in 2022 and see capacity and speed benefits starting in 2023.

“With that timeline, C-Band still does not answer the questions of what spectrum Verizon will be using for the next three years,” wrote LightShed’s Walter Piecyk and Joe Galone at the time.

Following the news of the decision, analysts were clear in delivering their own verdict on how the decision would affect Verizon:

“Verizon looks to us to be a net loser here,” wrote the MoffettNathanson team led by Craig Moffett.

…  

“Approval of the T-Mobile/Sprint deal takes not just one but two spectrum options off the table,” wrote Moffett. “Sprint is now not a seller of 2.5 GHz spectrum, and Dish is not a seller of AWS-4. More than ever, Verizon must now bet on C-band.”

…

LightShed also pegged Tuesday’s merger ruling as a negative for Verizon.

“It’s not great news for Verizon, given that it removes Sprint and Dish’s spectrum as an alternative, created a new competitor in Dish, and has empowered T-Mobile with the tools to deliver a superior network experience to consumers,” wrote LightShed.

…

In a note following news reports that the court would side with T-Mobile and Sprint, New Street analyst Johnathan Chaplin wrote, “T-Mobile will be far more disruptive once they have access to Sprint’s spectrum than they have been until now.”

However, analysts were more sanguine about AT&T’s prospects:

AT&T, though, has been busy deploying additional spectrum, both as part of its FirstNet build and to support 5G rollouts. This has seen AT&T increase its amount of deployed spectrum by almost 60%, according to Moffett, which takes “some of the pressure off to respond to New T-Mobile.”

Still, while AT&T may be in a better position on the spectrum front compared to Verizon, it faces the “same competitive dynamics,” Moffett wrote. “For AT&T, the deal is probably a net neutral.”

The quantitative evidence from the stock market seems to agree with the qualitative analysis from the Wall Street research firms. Let’s look at the five-day window of trading from Monday morning to Friday (today). Unsurprisingly, Sprint, T-Mobile, and Dish have reacted very favorably to the news:

Consistent with the Wall Street analysis, Verizon stock remains down 2.5 percent over a five-day window while AT&T has been flat over the same period:

How do you separate beta from alpha in an event study?

Philippon argued that after market trading may be more efficient because it is dominated by hedge funds and includes less “noise trading.” In my opinion, the liquidity effect likely outweighs this factor. Also, it’s unclear why we should assume “smart money” is setting the price in the after hours market but not during regular trading when hedge funds are still active. Sophisticated professional traders often make easy profits by picking off panicked retail investors who only read the headlines. When you see a wild swing in the markets that moderates over time, the wild swing is probably the noise and the moderation is probably the signal.

And, as Karl Smith noted, since the aftermarket is thin, price moves in individual stocks might reflect changes in the broader stock market (“beta”) more than changes due to new company-specific information (“alpha”). Here are the last five days for e-mini S&P 500 futures, which track the broader market and are traded after hours:

The market trended up on Monday night and was flat on Tuesday. This slightly positive macro environment means we would need to adjust the returns downward for AT&T and Verizon. Of course, this is counter to Philippon’s conjecture that the merger decision would increase their stock prices. But to be clear, these changes are so minuscule in percentage terms, this adjustment wouldn’t make much of a difference in this case.

Lastly, let’s see what we can learn from a similar historical episode in the stock market.

The parallel to the 2016 presidential election

The type of reversal we saw in AT&T and Verizon is not unprecedented. Some commenters said the pattern reminded them of the market reaction to Trump’s election in 2016:

Much like the T-Mobile/Sprint merger news, the “event” in 2016 was not a single moment in time. It began around 9 PM Tuesday night when Trump started to overperform in early state results. Over the course of the next three hours, S&P 500 futures contracts fell about 5 percent — an enormous drop in such a short period of time. If Philippon had tried to estimate the “Trump effect” in the same manner he did the T-Mobile/Sprint case, he would have concluded that a Trump presidency would reduce aggregate future profits by about 5 percent relative to a Clinton presidency.

But, as you can see in the chart above, if we widen the aperture of the event study to include the hours past midnight, the story flips. Markets started to bounce back even before Trump took the stage to make his victory speech. The themes of his speech were widely regarded as reassuring for markets, which further pared losses from earlier in the night. When regular trading hours resumed on Wednesday, the markets decided a Trump presidency would be very good for certain sectors of the economy, particularly finance, energy, biotech, and private prisons. By the end of the day, the stock market finished up about a percentage point from where it closed prior to the election — near all time highs.

Maybe this is more noise than signal?

As a few others pointed out, these relatively small moves in AT&T and Verizon (less than 3 percent in either direction) may just be noise. That’s certainly possible given the magnitude of the changes. Contra Philippon, I think the methodology in question is too weak to rule out the pro-competitive theory of the case, i.e., that the new merged entity would be a stronger competitor to take on industry leaders AT&T and Verizon. We need much more robust and varied evidence before we can call anything “bogus.” Of course, that means this event study is not sufficient to prove the pro-competitive theory of the case, either.

Olivier Blanchard, a former chief economist of the IMF, shared Philippon’s thread on Twitter and added this comment above: “The beauty of the argument. Simple hypothesis, simple test, clear conclusion.”

If only things were so simple.

In Antitrust & Competition, Financial Regulation, Google, Mergers & Acquisitions, Platforms, Telecommunications, Truth on the Market, Twitter, Wireless , , , , , , , ,
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Acknowledging the Limitations of the FTC’s “PAE” Study

Adam Mossoff —  4 May 2016

[Below is an excellent essay by Devlin Hartline that was first posted at the Center for the Protection of Intellectual Property blog last week, and I’m sharing it here.]

ACKNOWLEDGING THE LIMITATIONS OF THE FTC’S “PAE” STUDY

By Devlin Hartline

The FTC’s long-awaited case study of patent assertion entities (PAEs) is expected to be released this spring. Using its subpoena power under Section 6(b) to gather information from a handful of firms, the study promises us a glimpse at their inner workings. But while the results may be interesting, they’ll also be too narrow to support any informed policy changes. And you don’t have to take my word for it—the FTC admits as much. In one submission to the Office of Management and Budget (OMB), which ultimately decided whether the study should move forward, the FTC acknowledges that its findings “will not be generalizable to the universe of all PAE activity.” In another submission to the OMB, the FTC recognizes that “the case study should be viewed as descriptive and probative for future studies seeking to explore the relationships between organizational form and assertion behavior.”

However, this doesn’t mean that no one will use the study to advocate for drastic changes to the patent system. Even before the study’s release, many people—including some FTC Commissioners themselves—have already jumped to conclusions when it comes to PAEs, arguing that they are a drag on innovation and competition. Yet these same people say that we need this study because there’s no good empirical data analyzing the systemic costs and benefits of PAEs. They can’t have it both ways. The uproar about PAEs is emblematic of the broader movement that advocates for the next big change to the patent system before we’ve even seen how the last one panned out. In this environment, it’s unlikely that the FTC and other critics will responsibly acknowledge that the study simply cannot give us an accurate assessment of the bigger picture.

Limitations of the FTC Study 

Many scholars have written about the study’s fundamental limitations. As statistician Fritz Scheuren points out, there are two kinds of studies: exploratory and confirmatory. An exploratory study is a starting point that asks general questions in order to generate testable hypotheses, while a confirmatory study is then used to test the validity of those hypotheses. The FTC study, with its open-ended questions to a handful of firms, is a classic exploratory study. At best, the study will generate answers that could help researchers begin to form theories and design another round of questions for further research. Scheuren notes that while the “FTC study may well be useful at generating exploratory data with respect to PAE activity,” it “is not designed to confirm supportable subject matter conclusions.”

One significant constraint with the FTC study is that the sample size is small—only twenty-five PAEs—and the control group is even smaller—a mixture of fifteen manufacturers and non-practicing entities (NPEs) in the wireless chipset industry. Scheuren reasons that there “is also the risk of non-representative sampling and potential selection bias due to the fact that the universe of PAEs is largely unknown and likely quite diverse.” And the fact that the control group comes from one narrow industry further prevents any generalization of the results. Scheuren concludes that the FTC study “may result in potentially valuable information worthy of further study,” but that it is “not designed in a way as to support public policy decisions.”

Professor Michael Risch questions the FTC’s entire approach: “If the FTC is going to the trouble of doing a study, why not get it done right the first time and a) sample a larger number of manufacturers, in b) a more diverse area of manufacturing, and c) get identical information?” He points out that the FTC won’t be well-positioned to draw conclusions because the control group is not even being asked the same questions as the PAEs. Risch concludes that “any report risks looking like so many others: a static look at an industry with no benchmark to compare it to.” Professor Kristen Osenga echoes these same sentiments and notes that “the study has been shaped in a way that will simply add fuel to the anti–‘patent troll’ fire without providing any data that would explain the best way to fix the real problems in the patent field today.”

Osenga further argues that the study is flawed since the FTC’s definition of PAEs perpetuates the myth that patent licensing firms are all the same. The reality is that many different types of businesses fall under the “PAE” umbrella, and it makes no sense to impute the actions of a small subset to the entire group when making policy recommendations. Moreover, Osenga questions the FTC’s “shortsighted viewpoint” of the potential benefits of PAEs, and she doubts how the “impact on innovation and competition” will be ascertainable given the questions being asked. Anne Layne-Farrar expresses similar doubts about the conclusions that can be drawn from the FTC study since only licensors are being surveyed. She posits that it “cannot generate a full dataset for understanding the conduct of the parties in patent license negotiation or the reasons for the failure of negotiations.”

Layne-Farrar concludes that the FTC study “can point us in fruitful directions for further inquiry and may offer context for interpreting quantitative studies of PAE litigation, but should not be used to justify any policy changes.” Consistent with the FTC’s own admissions of the study’s limitations, this is the real bottom line of what we should expect. The study will have no predictive power because it only looks at how a small sample of firms affect a few other players within the patent ecosystem. It does not quantify how that activity ultimately affects innovation and competition—the very information needed to support policy recommendations. The FTC study is not intended to produce the sort of compelling statistical data that can be extrapolated to the larger universe of firms.

FTC Commissioners Put Cart Before Horse

The FTC has a history of bias against PAEs, as demonstrated in its 2011 report that skeptically questioned the “uncertain benefits” of PAEs while assuming their “detrimental effects” in undermining innovation. That report recommended special remedy rules for PAEs, even as the FTC acknowledged the lack of objective evidence of systemic failure and the difficulty of distinguishing “patent transactions that harm innovation from those that promote it.” With its new study, the FTC concedes to the OMB that much is still not known about PAEs and that the findings will be preliminary and non-generalizable. However, this hasn’t prevented some Commissioners from putting the cart before the horse with PAEs.

In fact, the very call for the FTC to institute the PAE study started with its conclusion. In her 2013 speech suggesting the study, FTC Chairwoman Edith Ramirez recognized that “we still have only snapshots of the costs and benefits of PAE activity” and that “we will need to learn a lot more” in order “to see the full competitive picture.” While acknowledging the vast potential benefits of PAEs in rewarding invention, benefiting competition and consumers, reducing enforcement hurdles, increasing liquidity, encouraging venture capital investment, and funding R&D, she nevertheless concluded that “PAEs exploit underlying problems in the patent system to the detriment of innovation and consumers.” And despite the admitted lack of data, Ramirez stressed “the critical importance of continuing the effort on patent reform to limit the costs associated with some types of PAE activity.”

This position is duplicitous: If the costs and benefits of PAEs are still unknown, what justifies Ramirez’s rushed call for immediate action? While benefits have to be weighed against costs, it’s clear that she’s already jumped to the conclusion that the costs outweigh the benefits. In another speech a few months later, Ramirez noted that the “troubling stories” about PAEs “don’t tell us much about the competitive costs and benefits of PAE activity.” Despite this admission, Ramirez called for “a much broader response to flaws in the patent system that fuel inefficient behavior by PAEs.” And while Ramirez said that understanding “the PAE business model will inform the policy dialogue,” she stated that “it will not change the pressing need for additional progress on patent reform.”

Likewise, in an early 2014 speech, Commissioner Julie Brill ignored the study’s inherent limitations and exploratory nature. She predicted that the study “will provide a fuller and more accurate picture of PAE activity” that “will be put to good use by Congress and others who examine closely the activities of PAEs.” Remarkably, Brill stated that “the FTC and other law enforcement agencies” should not “wait on the results of the 6(b) study before undertaking enforcement actions against PAE activity that crosses the line.” Even without the study’s results, she thought that “reforms to the patent system are clearly warranted.” In Brill’s view, the study would only be useful for determining whether “additional reforms are warranted” to curb the activities of PAEs.

It appears that these Commissioners have already decided—in the absence of any reliable data on the systemic effects of PAE activity—that drastic changes to the patent system are necessary. Given their clear bias in this area, there is little hope that they will acknowledge the deep limitations of the study once it is released.

Commentators Jump the Gun

Unsurprisingly, many supporters of the study have filed comments with the FTC arguing that the study is needed to fill the huge void in empirical data on the costs and benefits associated with PAEs. Some even simultaneously argue that the costs of PAEs far outweigh the benefits, suggesting that they have already jumped to their conclusion and just want the data to back it up. Despite the study’s serious limitations, these commentators appear primed to use it to justify their foregone policy recommendations.

For example, the Consumer Electronics Association applauded “the FTC’s efforts to assess the anticompetitive harms that PAEs cause on our economy as a whole,” and it argued that the study “will illuminate the many dimensions of PAEs’ conduct in a way that no other entity is capable.” At the same time, it stated that “completion of this FTC study should not stay or halt other actions by the administrative, legislative or judicial branches to address this serious issue.” The Internet Commerce Coalition stressed the importance of the study of “PAE activity in order to shed light on its effects on competition and innovation,” and it admitted that without the information, “the debate in this area cannot be empirically based.” Nonetheless, it presupposed that the study will uncover “hidden conduct of and abuses by PAEs” and that “it will still be important to reform the law in this area.”

Engine Advocacy admitted that “there is very little broad empirical data about the structure and conduct of patent assertion entities, and their effect on the economy.” It then argued that PAE activity “harms innovators, consumers, startups and the broader economy.” The Coalition for Patent Fairness called on the study “to contribute to the understanding of policymakers and the public” concerning PAEs, which it claimed “impose enormous costs on U.S. innovators, manufacturers, service providers, and, increasingly, consumers and end-users.” And to those suggesting “the potentially beneficial role of PAEs in the patent market,” it stressed that “reform be guided by the principle that the patent system is intended to incentivize and reward innovation,” not “rent-seeking” PAEs that are “exploiting problems.”

The joint comments of Public Knowledge, Electronic Frontier Foundation, & Engine Advocacyemphasized the fact that information about PAEs “currently remains limited” and that what is “publicly known largely consists of lawsuits filed in court and anecdotal information.” Despite admitting that “broad empirical data often remains lacking,” the groups also suggested that the study “does not mean that legislative efforts should be stalled” since “the harms of PAE activity are well known and already amenable to legislative reform.” In fact, they contended not only that “a problem exists,” but that there’s even “reason to believe the scope is even larger than what has already been reported.”

Given this pervasive and unfounded bias against PAEs, there’s little hope that these and other critics will acknowledge the study’s serious limitations. Instead, it’s far more likely that they will point to the study as concrete evidence that even more sweeping changes to the patent system are in order.

Conclusion

While the FTC study may generate interesting information about a handful of firms, it won’t tell us much about how PAEs affect competition and innovation in general. The study is simply not designed to do this. It instead is a fact-finding mission, the results of which could guide future missions. Such empirical research can be valuable, but it’s very important to recognize the limited utility of the information being collected. And it’s crucial not to draw policy conclusions from it. Unfortunately, if the comments of some of the Commissioners and supporters of the study are any indication, many critics have already made up their minds about the net effects of PAEs, and they will likely use the study to perpetuate the biased anti-patent fervor that has captured so much attention in recent years.

 

In Antitrust & Competition, Economic Theory, Federal Trade Commission, Intellectual Property, Patent, Regulation, Telecommunications, Truth on the Market, Wireless , , , , , , , , , , , , , , , , ,
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Intellectual Property, Innovation and Economic Growth: Mercatus Gets it Wrong

Adam Mossoff —  28 August 2014

[Cross posted at the CPIP Blog.]

By Mark Schultz & Adam Mossoff

A handful of increasingly noisy critics of intellectual property (IP) have emerged within free market organizations. Both the emergence and vehemence of this group has surprised most observers, since free market advocates generally support property rights. It’s true that there has long been a strain of IP skepticism among some libertarian intellectuals. However, the surprised observer would be correct to think that the latest critique is something new. In our experience, most free market advocates see the benefit and importance of protecting the property rights of all who perform productive labor – whether the results are tangible or intangible.

How do the claims of this emerging critique stand up? We have had occasion to examine the arguments of free market IP skeptics before. (For example, see here, here, here.) So far, we have largely found their claims wanting.

We have yet another occasion to examine their arguments, and once again we are underwhelmed and disappointed. We recently posted an essay at AEI’s Tech Policy Daily prompted by an odd report recently released by the Mercatus Center, a free-market think tank. The Mercatus report attacks recent research that supposedly asserts, in the words of the authors of the Mercatus report, that “the existence of intellectual property in an industry creates the jobs in that industry.” They contend that this research “provide[s] no theoretical or empirical evidence to support” its claims of the importance of intellectual property to the U.S. economy.

Our AEI essay responds to these claims by explaining how these IP skeptics both mischaracterize the studies that they are attacking and fail to acknowledge the actual historical and economic evidence on the connections between IP, innovation, and economic prosperity. We recommend that anyone who may be confused by the assertions of any IP skeptics waving the banner of property rights and the free market read our essay at AEI, as well as our previous essays in which we have called out similarly odd statements from Mercatus about IP rights.

The Mercatus report, though, exemplifies many of the concerns we raise about these IP skeptics, and so it deserves to be considered at greater length.

For instance, something we touched on briefly in our AEI essay is the fact that the authors of this Mercatus report offer no empirical evidence of their own within their lengthy critique of several empirical studies, and at best they invoke thin theoretical support for their contentions.

This is odd if only because they are critiquing several empirical studies that develop careful, balanced and rigorous models for testing one of the biggest economic questions in innovation policy: What is the relationship between intellectual property and jobs and economic growth?

Apparently, the authors of the Mercatus report presume that the burden of proof is entirely on the proponents of IP, and that a bit of hand waving using abstract economic concepts and generalized theory is enough to defeat arguments supported by empirical data and plausible methodology.

This move raises a foundational question that frames all debates about IP rights today: On whom should the burden rest? On those who claim that IP has beneficial economic effects? Or on those who claim otherwise, such as the authors of the Mercatus report?

The burden of proof here is an important issue. Too often, recent debates about IP rights have started from an assumption that the entire burden of proof rests on those investigating or defending IP rights. Quite often, IP skeptics appear to believe that their criticism of IP rights needs little empirical or theoretical validation, beyond talismanic invocations of “monopoly” and anachronistic assertions that the Framers of the US Constitution were utilitarians.

As we detail in our AEI essay, though, the problem with arguments like those made in the Mercatus report is that they contradict history and empirics. For the evidence that supports this claim, including citations to the many studies that are ignored by the IP skeptics at Mercatus and elsewhere, check out the essay.

Despite these historical and economic facts, one may still believe that the US would enjoy even greater prosperity without IP. But IP skeptics who believe in this counterfactual world face a challenge. As a preliminary matter, they ought to acknowledge that they are the ones swimming against the tide of history and prevailing belief. More important, the burden of proof is on them – the IP skeptics – to explain why the U.S. has long prospered under an IP system they find so odious and destructive of property rights and economic progress, while countries that largely eschew IP have languished. This obligation is especially heavy for one who seeks to undermine empirical work such as the USPTO Report and other studies.

In sum, you can’t beat something with nothing. For IP skeptics to contest this evidence, they should offer more than polemical and theoretical broadsides. They ought to stop making faux originalist arguments that misstate basic legal facts about property and IP, and instead offer their own empirical evidence. The Mercatus report, however, is content to confine its empirics to critiques of others’ methodology – including claims their targets did not make.

For example, in addition to the several strawman attacks identified in our AEI essay, the Mercatus report constructs another strawman in its discussion of studies of copyright piracy done by Stephen Siwek for the Institute for Policy Innovation (IPI). Mercatus inaccurately and unfairly implies that Siwek’s studies on the impact of piracy in film and music assumed that every copy pirated was a sale lost – this is known as “the substitution rate problem.” In fact, Siwek’s methodology tackled that exact problem.

IPI and Siwek never seem to get credit for this, but Siwek was careful to avoid the one-to-one substitution rate estimate that Mercatus and others foist on him and then critique as empirically unsound. If one actually reads his report, it is clear that Siwek assumes that bootleg physical copies resulted in a 65.7% substitution rate, while illegal downloads resulted in a 20% substitution rate. Siwek’s methodology anticipates and renders moot the critique that Mercatus makes anyway.

After mischaracterizing these studies and their claims, the Mercatus report goes further in attacking them as supporting advocacy on behalf of IP rights. Yes, the empirical results have been used by think tanks, trade associations and others to support advocacy on behalf of IP rights. But does that advocacy make the questions asked and resulting research invalid? IP skeptics would have trumpeted results showing that IP-intensive industries had a minimal economic impact, just as Mercatus policy analysts have done with alleged empirical claims about IP in other contexts. In fact, IP skeptics at free-market institutions repeatedly invoke studies in policy advocacy that allegedly show harm from patent litigation, despite these studies suffering from far worse problems than anything alleged in their critiques of the USPTO and other studies.

Finally, we noted in our AEI essay how it was odd to hear a well-known libertarian think tank like Mercatus advocate for more government-funded programs, such as direct grants or prizes, as viable alternatives to individual property rights secured to inventors and creators. There is even more economic work being done beyond the empirical studies we cited in our AEI essay on the critical role that property rights in innovation serve in a flourishing free market, as well as work on the economic benefits of IP rights over other governmental programs like prizes.

Today, we are in the midst of a full-blown moral panic about the alleged evils of IP. It’s alarming that libertarians – the very people who should be defending all property rights – have jumped on this populist bandwagon. Imagine if free market advocates at the turn of the Twentieth Century had asserted that there was no evidence that property rights had contributed to the Industrial Revolution. Imagine them joining in common cause with the populist Progressives to suppress the enforcement of private rights and the enjoyment of economic liberty. It’s a bizarre image, but we are seeing its modern-day equivalent, as these libertarians join the chorus of voices arguing against property and private ordering in markets for innovation and creativity.

It’s also disconcerting that Mercatus appears to abandon its exceptionally high standards for scholarly work-product when it comes to IP rights. Its economic analyses and policy briefs on such subjects as telecommunications regulation, financial and healthcare markets, and the regulatory state have rightly made Mercatus a respected free-market institution. It’s unfortunate that it has lent this justly earned prestige and legitimacy to stale and derivative arguments against property and private ordering in the innovation and creative industries. It’s time to embrace the sound evidence and back off the rhetoric.

In Copyright, Intellectual Property, Law & Economics, Patent, Telecommunications , , , , , , , , , , , , , , , ,
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