Do patents inhibit research?

A newly published paper by Fiona Murray, Philippe Aghion, Mathias Dewatripont, Julian Kolev, and Scott Stern asks whether patents inhibit researchers from exploring new directions for their research. The American Economic Association published a research highlight post today explaining the methods and conclusions of the paper.

Here is a quick summary: data and research tools in the sciences are increasingly covered by patents, making it costly or impossible for researchers who did not develop a set of data or a set of tools for analyzing data in their field to use these data or tools. In cancer research, many studies are conducted using genetically engineered mice. DuPont had patents on two methods for the genetic engineering mice, patents which it agreed to open up to researcher at a much lower cost than before, in two Memoranda of Understanding with the NIH in 1998 and 1999. A third method was not included in these agreements and remained as costly as it had been for researchers to access. This set up a natural experiment.

The result: mice covered by the DuPont-NIH agreements were involved in more research exploring new directions than mice that were not so covered. The authors of the paper found good ways to use citation and keyword data to capture this effect. Quoting from the research highlight post, we get to the crux of their findings:

The authors find clear evidence that the patents protecting Cre-lox and Onco limited the scope of scientific inquiry by genetics researchers, but the best policy for reducing this type of harm isn’t clear.

On economics and evolutionary theory (wonky)

On my train ride to the office this morning, I saw this article by David Sloan Wilson, which is an update of Paul Krugman’s 1996 use of evolutionary biology to improve the methodology of economics. David Sloan Wilson’s post is an update on the developments in theory of evolution since then and their impact on Krugman’s assessment of how economics is, and should be, done. I highly recommend the Wilson article to anyone interested. In addition to being highly informative and well written, it has a good collection of citations worth following up.

Economic inequality, MLK, and Sam Bowles

I just came across this post from 2014 by Francois Badenhorst via a post by Evonomics. (I linked the original.) It is a quick profile of Sam Bowles, a well-known scholar preoccupied with the question of inequality. Just like Amartya K. Sen, I recommend Badenhorst’s post because it gives a succinct introduction to the work that Bowles has been doing.

A personal high point is where Bowles talks about his being one of the very first “mathematizers” of economics in the US. I agree completely with him that using rigorous mathematical techniques in economics promotes inttellectual honesty and productivity, provided it does not lead us to ask progressively narrower questions. Both Bowles and Sen are exemplars of asking deep, important questions about inequality and cooperation in economics, using deep mathematics to reach surprising answers.

I post this specifically today because Bowles mentions to Badenhorst an interaction with Dr. Martin Luther King, Jr. Read the post at the first link above to learn all about it!

A new website on microeconomics

There is a wealth of fascinating research being produced by microeconomic theorists. It is really hard for nonspecialists to understand it, though, as it tends to be presented in esoteric journal articles full of difficult math and jargon. Even applied economists and economic policy makers have a hard time absorbing the lessons of cutting-edge microeconomics research. I was glad to find out today, via a post by Al Roth, about this new website which has the mission of bridging this exact gap. It’s not easy; I should know, having tried for years to make difficult mathematical papers in microeconomics digestible to students. But it is a worthy endeavor.

Abolish juvenile curfews to make cities safer

Jennifer L. Doleac writes in the Brookings Institute’s website an account of her research findings regarding the effect of juvenile curfew laws on urban crime. She claims that repealing juvenile curfew laws is close to a “free lunch” for reducing urban firearm crime. I quote two paragraphs in which she lays out her conclusions:

Our study suggests that juvenile curfews increase gun violence, and therefore impose a cost on society by decreasing public safety. This doesn’t mean that curfews don’t have some positive effects. It’s possible that juvenile curfews reduce other types of crime (for example, minor offenses such as vandalism) that might be uncorrelated with gun violence. To the extent that those types of offenses are a concern, and if they are reduced more than gun violence is increased, local jurisdictions might find juvenile curfews worthwhile.

But to be clear, those are all “ifs”—there is currently no convincing evidence that curfews have such beneficial effects. Absent such evidence, cities should consider ending their juvenile curfews. There are simply too many potential costs associated with curfew policies—in terms of public safety, community trust, and limiting juveniles’ and parents’ choices. Without benefits to justify those costs, there’s no reason to keep juvenile curfews on the books.

It seems to me that she has made a compelling case.

Polarization of blogs

I am preparing fresh lecture notes for my course on the economic theory of networks that starts on January 12. Just now, I wanted a recent image (and explanation) of political polarization online. Quickly enough, a Google search brought me to this interesting blog post with a fairly striking graph.

A related discussion appears in this paper, written by M. D. Conover, J. Ratkiewicz, M. Francisco, B. Gonc ̧alves, A. Flammini, and F. Menczer.

I quote its abstract:

In this study we investigate how social media shape the networked public sphere and facilitate communication between communities with different political orientations. We examine two networks of political communication on Twitter, comprised of more than 250,000 tweets from the six weeks leading up to the 2010 U.S. congressional midterm elections. Using a combination of network clustering algo- rithms and manually-annotated data we demonstrate that the network of political retweets exhibits a highly segregated partisan structure, with extremely limited connectivity between left- and right-leaning users. Surprisingly this is not the case for the user-to-user mention network, which is dominated by a single politically heterogeneous cluster of users in which ideologically-opposed individuals interact at a much higher rate compared to the network of retweets. To explain the distinct topologies of the retweet and mention networks we conjecture that politically motivated individuals provoke interaction by injecting partisan content into information streams whose primary audience consists of ideologically-opposed users. We conclude with statistical evidence in support of this hypothesis.

Stress getting worse for adolescents

I just came across this piece by Vicki Abeles in the New York Times. It discusses the effect on young people of the stress that the rat race in schools creates. The numbers are alarming.

For an economist like myself, a big question arises from this regarding the (in)famous efficiency of “free”, “perfectly competitive” markets, which are of course a theoretical fiction used to exalt the effect of competition on human welfare. Pretty obviously, we need to be very careful to amend our treatment of welfare. This brings to mind a sequence of blog posts on interfluidity, starting with this one, which I have set aside on my browser to read carefully. Now that the holiday festivities have quieted down, I plan to do that and post my thoughts here. Consider this a promise.

Art and science, and some economics, too

The pursuit of beauty and economic theory: friends or enemies?

I read this post on Aeon by Frank Wilczek this morning. I posted about it on Facebook but doing so did not make me stop thinking about it. I want to put some of these thoughts down here, as they relate to economic theory, what draws me to it, and whether the draw of beauty in the mathematics used in economic theory detracts from the theory’s value to society. First of all, I invite you to follow the link above and come back to read the rest of my thoughts.

Wilczek has published a book recently, A Beautiful Question: Finding Nature’s Deep Design (Google Play link, Amazon link). I have not read it to the end yet, but I hope I will over the winter break. His discussion in the Aeon post immediately made me think about the art of mathematics and how it motivates me (and many others) to do economic theory and guides our attempts to do it.

Empires built on math

In my early years studying for my doctorate, I thought of math as a collection of empire-building tools for empires of the mind (castles in the sky might be another apt name). Economic theory, heavily math-laden, becomes in this view a galaxy far, far away where each theorist builds an empire (or at least a few starships) to impose order on the universe. Once you have laid down your assumptions, you then have a solid foundation for building and you are the emperor of your theoretical creations, as long as you can write down your mathematical arguments correctly.

This view is not far from Asimov’s galactic empire fiction. Indeed, Asimov himself thought that some sort of social physics exists, and if we can discover its laws, we could predict the unfolding of societies over vast, even galactic, scales. For economics, this perspective explains at least some of the psychological attraction theorists feel towards their castles in the sky. This attraction is particularly prominent for me when I am working on general equilibrium theory, which most of the profession has left behind.

Ethereal but irrelevant?

Good question! Let me first tell a story about logic and the demise of the Hilbert program in mathematics. Then I will talk about the fragmentation of economic theory, this one brought about by the confrontation of the theory with empirical tests, such as they are (famously much harder in the social sciences than in physics).

Hilbert was a prominent German mathematician. His famous and eponymous program was an attempt to make all mathematics utterly rigorous by putting it on a formal basis and to prove within that framework that mathematics is consistent. (Perhaps the best way to understand “formalization” in this sense, besides the obvious which is that it should be totally understandable to a computer, is by thinking about something von Neumann said: “Young man, in mathematics you don’t understand things. You just get used to them.” —source)

Hilbert’s program came undone when Kurt Gödel came up with his stunning, deep, and worldview shattering (for mathematicians) Incompleteness Theorems. The gist of these theorems is that if you build all of mathematics on a finite list of axioms, then you cannot prove by using this list of axioms all true theorems of mathematics and you cannot prove that the mathematics you have founded on these axioms is consistent (contains no contradictions).

Coming as it did in 1930, this devastating development seems to be a symptom of the fragmentation of European culture, which was soon to produce a horrible war. But what does it have to do with economic theory? Well, it tells us that the theoretical castles are indeed based on air, not stone foundations.

What’s worse, that’s not all that ails theoretical empire-building in economics. While there are plenty of valid criticisms to aim at empirical research in economics, its basic import is that grand, unified economic theories perform badly. This has led to the growth of “behavioral economics”. (Once again, let me point out how silly this name is: isn’t all economics behavioral? — I prefer psychological economics). However mainstream this field has become, it does have a shattering impact on beautiful theory-building that aims at wide applicability.

We contain multitudes and that can be beautiful too!

Well, it was good enough for Walt Whitman. How about we apply it to the entire society, whose functioning is the domain of study of economic theory, broadly conceived? Does the fragmentation I just talked about make further theory development ugly?

Many social scientists have written on this issue. To me, it seems that a fragmented field of theories can still be an object of beauty in the mind of the theorist. Think of it as a kaleidoscope (a word that literally means “a device for showing beauty”). This is how I attempt to keep my motivation up when I am struggling with long, messy arguments trying to prove something in complicated mathematical models of society that invariably leave my head spinning after only a couple of hours of effort.

Another good thing to say about the fragmented collection of models that constitutes modern economic theory is that it has produced some quite literally life-saving innovations (kidney exchanges, which came from a deeply mathematical field of economic theory called mechanism design theory). A good and easily readable account is Al Roth’s recent book Who Gets What — and Why.

Some others to read on related matters

In conclusion, here are some thoughtful works to read carefully that I constantly feel guilty for not having time to read carefully enough.

Daniel Little has a website portal and a blog about what it means to do social theory, even more widely construed than the widest view of economics.

Dani Rodrik has a recently published book in which he “argues that economics can be a powerful tool that improves the world―but only when economists abandon universal theories and focus on getting the context right”, as the book description on Amazon states. Another book I have started — so I really should wrap this post up now and get back to reading, even without having convinced myself that this gigantic post is as well written as possible! Of course it’s not. But I move on anyway. Ars Longa, Vita Brevis. Or, in the original language of Hippocrates, taken from the last link:

Ὁ βίος βραχύς, ἡ δὲ τέχνη μακρή, ὁ δὲ καιρὸς ὀξύς, ἡ δὲ πεῖρα σφαλερή, ἡ δὲ κρίσις χαλεπή. In English: Life is short, and art long, opportunity fleeting, experience perilous, and decision difficult.