Cato Globalization book out in paperback

A new book is out with chapters by me, Deirdre McCloskey, and others.

Book Title: Defending Globalization: Facts and Myths about the Global Economy and Its Fundamental Humanity

The COVID-19 pandemic, war in Ukraine, simmering US-China tensions, and rising global populism have led to globalization facing renewed attention-and criticism-from politicians and pundits across the political spectrum. Like any market phenomenon, the free movement of people, things, money, and ideas across natural or political borders is imperfect and often disruptive. But it has also produced undeniable benefits-for the United States and the world-that no other system can match. And it’s been going on since the dawn of recorded history.

The original essays compiled in this volume offer a diverse range of perspectives on globalization-what it is, what it has produced, what its alternatives are, and what people think about it-and offer a strong, proactive case for more global integration in the years ahead. Covering the basic economic and political ideas and historical facts underlying globalization, rebutting the most common arguments against globalization today, and educating readers on the intersection of globalization and our societies and cultures-from where we live to what clothes we wear and what foods we eat-Defending Globalization demonstrates the essential humanity of international trade and migration, and why the United States and the rest of the world need more of it.

You can read a summary, in a previous EWED blog post, of my chapter on fashion, previously posted on the Cato website as Fast Fashion, Global Trade, and Sustainable Abundance.

It takes all of us to be rich. We need “a great multitude that no one could count, from every nation, tribe, people and language,” so to speak.

Two years ago, on Twitter, I summarized my contribution as follows, in the form of a dialogue:

Person from the Past: “So, how is it with 8 billion people?”

Me Today: “It’s bad. We have too many clothes.”

Person from the Past: “Right. With 8 billion you wouldn’t have enough clothes for everyone.”

Me Today: “Too many.”

I made it to the book launch event in D.C. near the Capitol.

Some people still have not heard of “fast fashion.” Maybe you heard it here first: New legislation is likely coming to regulate the clothing industry. It might start at the state level, in progressive places like California or Seattle. Demands include making information about supply chains more transparent and taxing the clothing companies in order to pay for trash disposal. For example, you can read about the New York Fashion Act. Similar to the way the food companies have to provide clear information about calories, clothing retailers might have to provide more information about chemicals, labor, and disposal issues.

Plastic fibers making new clothing cheap. I sometimes hate the flood of cheap products that American families are drowning in. Plastic products are so cheap to stamp out and give to kids. Some days you’ll find me grumpy about the latest bag of plastic swag and candy my kids came home with. There are some negative externalities to consuming tons of plastic items and tossing them out.

It’s a privilege to have this problem. Perhaps we are overindulging in clothing abundance and need some modern solutions to modern problems. We also need to figure out how to stop getting obese off of food abundance. (Hello, Ozempic.) But let’s still be grateful for the abundance, on this Thanksgiving week. My controversial take is that it’s good for the cost of clothing to be low. We don’t want to regress. We don’t want to make clothing scarce again.

If you were to want to cite my work on fashion and globalization, then you could use something like this:

Buchanan, Joy. “Fast Fashion, Global Trade, and Sustainable Abundance” (2024) In S. Lincicome, & C. Packard (Eds.), Defending Globalization: Facts and Myths about the Global Economy and Its Fundamental Humanity, Cato Institute, (pp. 367 – 380).

Human Pettiness Knows No Bounds

Just when you think there might be one arena of human life free of status competition, you will turn out to be wrong.

Consider the 4th graders who get to do “safety patrol” as volunteer work. This is a badge of honor and the kids like power. A casual observer might think that any kid who volunteers to do safety patrol would simply be having a great experience. Surely this is as simple as adding a unit of utility from consumption, in comparison to the times when the child is not allowed to do safety patrol.

But all is not well. Jackson Carter, says Rachel Pratt, has been hogging the prime safety patrol spot for weeks. He walks to school earlier than anyone and sits on the good spot, excluding the other 4th graders from having the chance to catch the highest volume of younger kids to boss around.

Rachel Pratt and several other girls are conspiring to, collectively, prevent Jackson from getting so disproportionately many days on the prime spot. They have agreed that if any one of them can beat him to the spot, they will share it with anyone except Jackson. The crew has also planned to loudly comment on the situation in earshot of the school principal in hopes that Jackson will have to share the spoils more evenly.

Do humans even want to be happy?

Why Podcasts Succeeded in Gaining Influence Where MOOCs Failed

When MOOCs (Massive Open Online Courses) burst onto the education scene in the early 2010s, they were hailed as the future of learning. With the promise of democratizing education by providing free access to world-class courses from top universities.

Leading universities rushed to put their courses online, venture capital poured in, and platforms like Coursera and edX grew rapidly. Yet today, while MOOCs still exist, they’ve largely retreated to the margins of education. Meanwhile, long-form podcasts have emerged as a surprisingly powerful force in American intellectual life.

Is this ironic? I wanted to learn a bit about MOOCs while I took a walk before writing this blog post. I typed “MOOCs” into the Apple Podcasts search bar.

One of the first results was: John Cochrane on Education and MOOCs

I learned about MOOCs from Russ Roberts at a reasonable pace (when I listen to podcasts, I do it at 1x speed but I’m almost always doing something like driving or folding laundry).

I consider myself a lifelong learner. I buy and read books. Like hundreds of millions of people around the world, I like podcasts. I will attend lectures sometimes, especially if I personally know someone in the room. I did sit in classrooms for course credit throughout college and graduate school. I took extra classes that I did not need to graduate purely out of interest, and yet I have never once been tempted to sign up for a MOOC.

Enough introspection from me. My viral “tweet” this week was: “MOOCs never took off, as far as I can tell, and yet long-form podcasts are shaping the nation.”

Did MOOCs fail? Many millions of people signed up for MOOCs. A much smaller percentage of people completed MOOCs. Some users find MOOCs worth paying for.

However, if you listen to the podcast with John Cochrane in 2014, you can see the promise that MOOCs failed to live up to. The idea was that many people who did not have access to a “top quality” education would get one through MOOCs. Turns out that access is not the bottleneck.

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Effort Transparency and Fairness Published at Public Choice

Please see my latest paper, out at Public Choice: Effort transparency and fairness

The published version is better, but you can find our old working paper at SSRN “Effort Transparency and Fairness

Abstract: We study how transparent information about effort impacts the allocation of earnings in a dictator game experiment. We manipulate information about the respective contributions to a joint endowment that a dictator can keep or share with a counterpart…

Employees within an organization are sensitive to whether they are being treated fairly. Greater organizational fairness is shown to improve job satisfaction, reduce employee turnover, and boost the organization’s reputation. To study how transparent information impacts fairness perceptions, we conduct a dictator game with a jointly earned endowment. 

The endowment is earned by completing a real effort task in the experiment, an analog to the labor employees contribute to employers. First, two players work independently to create a pool of money. Then, the subject assigned the role of the “dictator” allocates the final earnings between them.

In the transparent treatment, both dictators and recipients have access to complete information about their own effort levels and contributions, as well as those of their counterparts. In the non-transparent treatment, dictators have full information about the relative contributions of both players, but recipients do not know how much each person contributed to the endowment. The two treatments allow us to compare the behaviors of dictators who know they could be judged and held to reciprocity norms with dictators who do not face the same level of scrutiny.

*drumroll* results:

This graph shows the amount of money the dictators take from the recipient contribution, in cents.  There are two ways to look at this. Notice the spike next to zero. Most dictators do not take much from what their counterpart earned. They are *dictators*, meaning they could take everything. Most take almost nothing, regardless of the treatment. We interpret this to mean that they are acting out of a sense of fairness, and we apply a humanomics framework to explain this in the paper.

Also, there is significantly more taken in non-transparency. When the worker does not have good information on the meritocratic outcome, then some dictators feel like they can get away with taking more. Some of this happens through what we call “shading down” of the amount sent by the dictator under the cover of non-transparency.

There is more in the paper, but the last thing I’ll point out here is that the “worker” subjects (recipients) anticipate that this will happen. The recipients forecast that the dictator would take more under non-transparency. In our conclusion, we mention that, even though the dictator seems to be at an advantage in a non-transparent environment, the dictator still might choose a transparency policy if it affects which workers select into the team.

View and download your article*   This hyperlink is good for a limited number of free downloads of my paper with Demiral and Saglam, says Springer the publisher. Please don’t waste it, but if you want the article I might as well put it out there. I posted this on 11/2/2024, so there is no guarantee that the link will work for you.

Cite our article: Buchanan, J., Demiral, E.E. & Sağlam, Ü. Effort transparency and fairness. Public Choice (2024). https://doi.org/10.1007/s11127-024-01230-9

Can researchers recruit human subjects online to take surveys anymore?

The experimental economics world is currently still doing data collection in traditional physical labs with human subjects who show up in person. This is still the gold standard, but it is expensive per observation. Many researchers, including myself, also do projects with subjects that are recruited online because the cost per observation is much lower.

As I remember it, the first platform that got widely used was Mechanical Turk. Prior to 2022, the attitude toward MTurk changed. It became known in the behavioral research community that MTurk had too many bots and bad actors. MTurk had not been designed for researchers, so maybe it’s not surprising that it did not serve our purposes.

The Prolific platform has had a good reputation for a few years. You have to pay to use Prolific but the cost per observation is still much lower than what it costs to use a traditional physical laboratory or to pay Americans to show up for an appointment. Prolific is especially attractive if the experiment is short and does not require a long span of attention from human subjects.

Here is a new paper on whether supposedly human subjects are going to be reliably human in the future: Detecting the corruption of online questionnaires by artificial intelligence   

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Physics Highlights from What is Real

Some highlights from reading the book What is Real? The Unfinished Quest for the Meaning of Quantum Physics* 

Page 9 “The godfather of quantum physics, Niels Bohr, talked about a division between the world of big objects, where classical Newtonian physics rules, and small objects, where quantum physics reigned.”

The book has some drama, much centered around Einstein’s rejection of the Copenhagen interpretation.

The title of Chapter 2 is so excellent: “Chap 2: Something Rotten in the Eigenstate of Denmark”

Pg 37 “But Max Born had discovered a piece of the puzzle that summer. He found that a particle’s wave function in a location yields the probability of measuring the particle in that location – and that the wave function collapses once measurement happens… The measurement problem had arrived.”

Pg 56 “Einstein rejected any violation of locality, calling it “spooky action at a distance” in a letter to Max Born.”

Pg 79 “By the end of the war, the Manhattan Project had cost the nation nearly $25 billion, employing 125,000 people at thirty-one different locations across the United States and Canada. Hundreds of physicists were called away from their everyday laboratory work … After the war ended, physics research in the United States never returned to what it was… Damned by their success … military research dollars poured into physics.”

Pg 82 “Research into the meaning of quantum physics was one of the casualties of the war. With all these new students crowding classrooms around the country, professors found it impossible to teach the philosophical questions at the foundation of quantum physics.”

Joy: The politics of physics in academia was interesting to me. I recommend this book to university economists on that merit alone.

Page 100 “the photons are deliberately messing with you”

Experimentalists take note, page 104 “The story that comes along with a scientific theory influences the experiments that scientists choose to perform”

Joy: Having no internet greatly slowed down the spread of the correct ideas. However, eventually, over the course of a few decades and with a few career casualties, the more correct information did seem to influence the consensus.

Joy: I’m used to economists having very basic and sometimes heated disagreements. One might say that issues in economics are a bit more subjective than a topic in the physical sciences. However, with quantum physics turning out to be so weird, there are also heated disagreements among the physicists.

An equivalent book for economics might be Grand Pursuit by Sylvia Nasar.

Pg 108: “Bohm’s theory had also appeared during the height of Zhdanovism, an ideological campaign by Stalin’s USSR to stamp out any work that had even the faintest whiff of a conflict with the ideals of Soviet communism.”

Pg 124: “This universal wave function, according to Everett, obeyed the Schrödinger equation at all times, never collapsing, but splitting instead. Each experiment, each quantum event… creating a multitude of universes…”

*Thanks to Josh Reeves and Samford University for buying me the book.

Related previous posts: Is the Universe Legible to Intelligence?

Oppenheimer Film Thoughts

Literature Review is a Difficult Intellectual Task

Literature Review is a Difficult Intellectual Task

As I was reading through What is Real?, it occurred to me that I’d like a review on an issue. I thought, “Experimental physics is like experimental economics. You can sometimes predict what groups or “markets” will do. However, it’s hard to predict exactly what an individual human will do.” I would like to know who has written a little article on this topic.

I decided to feed the following prompt into several LLMs: “What economist has written about the following issue: Economics is like physics in the sense that predictions about large groups are easier to make than predictions about the smallest, atomic if you will, components of the whole.”

First, ChatGPT (free version) (I think I’m at “GPT-4o mini (July 18, 2024)”):

I get the sense from my experience that ChatGPT often references Keynes. Based on my research, I think that’s because there are a lot of mentions of Keynes books in the model training data. (See “”ChatGPT Hallucinates Nonexistent Citations: Evidence from Economics“) 

Next, I asked ChatGPT, “What is the best article for me to read to learn more?” It gave me 5 items. Item 2 was “Foundations of Economic Analysis” by Paul Samuelson, which likely would be helpful but it’s from 1947. I’d like something more recent to address the rise of empirical and experimental economics.

Item 5 was: “”Physics Envy in Economics” (various authors): You can search for articles or papers on this topic, which often discuss the parallels between economic modeling and physics.” Interestingly, ChatGPT is telling me to Google my question. That’s not bad advice, but I find it funny given the new competition between LLMs and “classic” search engines.

When I pressed it further for a current article, ChatGPT gave me a link to an NBER paper that was not very relevant. I could have tried harder to refine my prompts, but I was not immediately impressed. It seems like ChatGPT had a heavy bias toward starting with famous books and papers as opposed to finding something for me to read that would answer my specific question.

I gave Claude (paid) a try. Claude recommended, “If you’re interested in exploring this idea further, you might want to look into Hayek’s works, particularly “The Use of Knowledge in Society” (1945) and “The Pretense of Knowledge” (1974), his Nobel Prize lecture.” Again, I might have been able to get a better response if I kept refining my prompt, but Claude also seemed to initially respond by tossing out famous old books.

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Writing with ChatGPT Buchanan Seminar on YouTube

I was pleased to be a (virtual) guest speaker for Plateau State University in Nigeria. My host was (Emergent Ventures winner) Nnaemeka Emmanuel Nnadi. The talk is up on Youtube with the following timestamp breakdown:

During the first ten minutes of the video, Ashen Ruth Musa gives an overview called “The Bace People: Location, Culture, Tourist Attraction.”

Then I introduce LLMs and my topic.

Minute 19:00 – 29:00 is a presentation of the paper “ChatGPT Hallucinates Nonexistent Citations: Evidence from Economics

Minute 23:30 – 34 is summary of my paper “Do People Trust Humans More Than ChatGPT?

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Probability Theory for the Minecraft Generation

If you are teaching statistics to 20-year-olds (or maybe even if you are not), you might be interested in ways to make probability theory more engaging. I watched a students eyes light up when I showed this in class, so that makes it feel worth sharing.

The Law of Large Numbers is a standard part of statistics or business analytics classes. Something that goes along with it conceptually is “The Law of Truly Large Numbers,” sometimes also called The Infinite Monkey Theorem. The idea is that if you put monkeys in front of typewriters, perhaps infinite monkeys with infinite typewriters and with infinite time, they will eventually write a Shakespeare play.

To illustrate this feature of probability theory for the video gamers, a fun and well-produced video is
“Can Mobs Beat Minecraft?” by Wifies

There is nothing inappropriate for students. The video is 13 minutes, which is too long to show during a class session. I recommend watching the first minute and a half and then explaining that the middle is a lot of gaming details to prove that it is technically possible that a randomly acting “mob” could eventually beat the entire Minecraft game, given enough time.

At the 10-minute mark, the math begins. You could watch about one more minute and a half to see how he tries to calculate the infinitesimally-small-and-yet-positive probability that this could happen. Given enough time, just about anything that is possible will happen.

Another possibility for a teacher is not to show the video in class but to offer it as an optional or extra credit assignment, so that a student who loves Minecraft could really have fun with it and other students can skip.

For me, this pairs with Chapter 5 on Probability for the textbook Applied Statistics in Business and Economics.

Another teaching tip. If you ever need to print out paper rulers, you might be Googling “printable rulers” and you’ll see a bunch of scams as the top results. THIS link works: https://www.brightonk12.com/cms/lib/MI02209968/Centricity/Domain/517/Ruler_6-inch_by_16.pdf

Paper on Finance and Economics Women Club

I am one of several founders of a club with the abbreviation F.E.W. for Finance and Economics Women. This is a student organization that we have at Samford and that Dr. Darwyyn Deyo runs at San Jose State University.

Read our report here: The Finance and Economics Women’s Network (FEW): Encouraging and Engaging Women in Undergraduate Programs published in the Journal of Economics and Finance Education

Our short paper is mostly a how-to guide including a draft of a club charter document. We describe our institutions and how we use this group to engage and encourage students. Please read it for more details on how to start a club.

Like most student groups, the FEW model relies on student leaders who take initiative. Having done this for more than 6 years, we have a growing network of alumni and local business partners who connect to current students through FEW events. Personally, I am lucky that 3 faculty members total support the club at my school.

Women are often minorities in upper-division econ and finance classes. Women also have some unique challenges when it comes to choosing career paths and navigating the workplace. These events (e.g. bringing in a manager from a local bank to talk with student over lunch) allow a space for students to ask questions they might not normally ask in a classroom setting or in a standard networking environment.

We report the results of a small survey in our paper. We can’t infer causality, nor did we run any experiments. However, we did find that women were more likely to report that a role model in their chosen profession influenced their choice of major. Part of the purpose of the FEW model is to expose students to a variety of role models who they might not otherwise connect with.

Here’s a news article with a picture of the founding group at Samford. I have great appreciation and respect for our student leaders who keep it going, and I am grateful to the graduates who stay in contact with us.

Suggested citation: Buchanan, Joy, and Darwyyn Deyo, “Finance and Economics Women’s (FEW) Network: Encouraging and Engaging Women in Undergraduate Programs” (2023) Journal of Economic and Finance Education, 22: 1, 1-14.