Culture Economics 101 - The new economics of “fairness”

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Why introductory economics courses continued to teach zombie ideas from before economics became an empirical discipline​

by Walter Frick
Article
What happens to the job market when the government raises the minimum wage? For decades, higher education in the United States has taught economics students to answer this question by reasoning from first principles. When the price of something rises, people tend to buy less of it. Therefore, if the price of labour rises, businesses will choose to ‘buy’ less of it – meaning they’ll hire fewer people. Students learn that a higher minimum wage means fewer jobs.

But there’s another way to answer the question, and in the early 1990s the economists David Card and Alan Krueger tried it: they went out and looked. Card and Krueger collected data on fast-food jobs along the border between New Jersey and Pennsylvania, before and after New Jersey’s minimum wage increase. The fast-food restaurants on the New Jersey side of the border were similar to the ones on the Pennsylvania side in nearly every respect, except that they now had to pay higher wages. Would they hire fewer workers in response?

‘The prediction from conventional economic theory is unambiguous,’ Card and Krueger wrote. It was also wrong. Fast-food restaurants in New Jersey didn’t hire fewer workers – instead, Card and Krueger found that employment slightly increased. Their paper set off a hunt for other ‘natural experiments’ that could rigorously test economic theory and – alongside other research agendas like behavioural economics – transformed the field.

Over the past 30 years, PhD-level education in economics has become more empirical, more psychological, and more attuned to the many ways that markets can fail. Introductory economics courses, however, are not so easy to transform. Big, synoptic textbooks are hard to put together and, once they are adopted as the foundation of introductory courses, professors and institutions are slow to abandon them. So introductory economics textbooks have continued to teach that a higher minimum wage leads to fewer people working – usually as an example of how useful and relevant the simple model of competitive markets could be. As a result of this lag between what economists know and how introductory economics is taught, a gulf developed between the way students first encounter economics and how most leading economists practise it. Students learned about the virtues of markets, deduced from a few seemingly simple assumptions. Economists and their graduate students, meanwhile, catalogued more and more ways those assumptions could go wrong.

Today, 30 years after Card and Krueger’s paper, economics curriculums around the world continue to challenge the facile view that students used to learn, in which unfettered markets work wonders. These changes – like spending more time studying market failures or emphasising individuals’ capacity for altruism, not just selfishness – have a political valence since conservatives often hide behind the laissez-faire logic of introductory economics. But the evolution of Econ 101 is not as subversive as it may sound. Instead, it reflects the direction the wider discipline has taken toward empiricism and more varied models of economic behaviour. Econ 101 is not changing to reflect a particular ideology; it is finally catching up to the field it purports to represent.


In 2019, Harvard University’s introduction to economics course, Ec10, changed hands. The respected conservative economist and textbook author Greg Mankiw handed it over to Jason Furman and David Laibson. Furman was chair of the Council of Economic Advisers under the US president Barack Obama. Laibson, also a textbook author, focuses his research on behavioural economics – which he prefers to describe as ‘psychology and economics’. As part of this transition, the course textbook shifted from Mankiw’s popular Principles of Economics (5th ed, 2015) to Economics (2nd ed, 2018 by Laibson, Daron Acemoglu of MIT, and John List of the University of Chicago.

Their goal in revising the course was threefold, says Furman. First, the course should be coherent and helpful for students, even if they never take another economics course. Second, it should speak to issues students care about – climate change, poverty and inequality, for example. Third, it should reflect the way economics is practised today, which means more empiricism, more psychology, and more attention to market failures and public policy.

Historically, introductory courses have reflected the way that the field of economics evolved, says David Martin, an economist at Harvard and section leader for the course. Theory came first: 18th-century philosophers like Adam Smith and David Ricardo sketched out principles of how markets operate; 20th-century economists like Paul Samuelson and Kenneth Arrow turned those ideas into mathematical models.

This is science as described by the theoretician. Since then, a subtle but evident shift has taken place

Two developments in the late 20th centurychanged the field’s direction. First, computers made data much easier to find and to analyse. Second, advances in statistical theory led to new methods of inferring cause and effect from data. Those methods ushered in what economists dubbed the ‘credibility revolution’, and in 2021 three of its architects, including Card, received a Nobel Prize.

The empirical turn in economics upended the discipline, but textbooks have lagged behind. Publishers typically require that authors not change more than 15 per cent for any new textbook edition to avoid upsetting instructors, which effectively capped the pace at which Econ 101 could evolve. The 1997 edition of Mankiw’s introductory textbook, for example, includes a section on observation and the scientific method. It also quotes Albert Einstein’s claim that ‘The whole of science is nothing more than a refinement of everyday thinking’ and describes Isaac Newton seeing an apple fall and being motivated to develop a theory of gravity. This is science as described by the theoretician. Since then, a subtle but evident shift has taken place. In the textbook that Harvard uses, first published in 2015, empiricism is elevated to one of the three core principles of economics, alongside ‘optimisation’ and ‘equilibrium’. Their book includes sections on ‘evidence-based economics’ in every chapter.

Undergraduates in Harvard’s Ec10 read the Card-Krueger minimum wage paper in the second week of class. It’s introduced in a session on empiricism in economics, and the students complete a simplified version of the analysis, calculating the difference in employment at fast-food restaurants in New Jersey and Philadelphia before and after New Jersey raised the minimum wage. The lesson is that ‘economic theories are only as good as the predictions they allow us to make about behaviour,’ says Martin. ‘The way we generally teach is facts first,’ he says of the course. Where theory once led, it now follows.

The theory side of Econ 101 is changing, too. The workhorse of introductory economics courses is the model of a perfectly competitive market. Students were traditionally introduced to its principles by reasoning about a consumer good with which they were already familiar, like pizza or ice cream. If a slice of pizza is free, how many will you take? (Several.) What if each slice costs $4? (Fewer.) What if each slice costs $40? (None at all.) This armchair reasoning forms the basis of a demand curve, where the quantity of a good (pizza) is higher when its price is lower.

The exercise is then repeated for the supply side where things work in reverse: the higher the price, the more people will find it worthwhile to make and sell pizza. And the point where supply and demand meet is the market equilibrium. The model assumes that buyers and sellers are all rationally optimising according to their preferences; they act so as to maximise their ‘utility’.

Harvard students still learn this model, in the second week of class. But the third week of Ec10 kicks off a series of three lectures challenging its key premises – in particular, the idea that people are purely selfish, perfectly rational maximisers. Instead, over three lessons, students are introduced to psychology, game theory and ‘social economics’ – which includes questions of fairness, trust and altruism.

Students learn that, even when people are motivated and trying to optimise, they often aren’t perfectly rational

In one class, students play a game called the ‘Keynesian beauty contest’, where everyone picks a number between one and 100. The rule is that the student whose pick is closest to two-thirds of the class average wins $10. What number should they pick? If guesses are random between one and 100, the average will be around 50, and two-thirds of 50 is 33⅓. But is 33⅓ a good guess? If everyone does that math, they’ll all guess 33 – and two-thirds of 33 is 22. But what if everyone does that math? Then the best guess would be two-thirds of 22, and so on. If everyone is purely rational and believes everyone else to be rational too, then the best guess is zero. That, in game theory lingo, is the Nash equilibrium.

In reality, the most common guess is 33, followed by 22; the third most-common guess is zero. The point of the exercise is that the game-theoretic prediction fails to match up with the real-world behaviour. Students learn that, even when people are motivated and trying to optimise, they often aren’t perfectly rational (even Harvard students).

Students also play the dictator game, where one student is given money and has the option to keep it all for themselves or to share it with another student. Most people share at least some of their windfall, says Martin, showing that ‘even when given the opportunity with no repercussions to be super greedy, a lot of people will give some money to the other person.’

These exercises challenge the notion that human behaviour is mostly selfish and rational. Such challenges to ‘Homo economicus’ have long had a place in economics textbooks – in the very back. Courses mirrored the textbooks, with ‘back of the textbook’ lectures on topics like altruism coming at the end of the semester.

Ec10 integrates this material throughout the course and teaches it alongside more classic models. ‘From the first second we teach [the competitive model of supply and demand], we say we’re going to teach tons of ways it fails or goes wrong,’ says Furman. What was once supplementary is now a central part of Econ 101.

Harvard is not alone in its shifting approach. In fact, for a team of economists in the UK, it doesn’t go far enough. A decade ago, they set out to ‘bring the back of the textbook to the front’ and, most controversially, to relegate the classic model of a perfectly competitive market to the back of the book.

‘The spark was the financial crisis,’ says Wendy Carlin, an economist at University College London, of the unorthodox textbook she helped to create. Students wanted to know what had gone wrong in the global economy, and introductory courses struggled to provide an answer. Margaret Stevens was having the same problem at the University of Oxford: many of her students were undergraduates in philosophy, politics and economics – and finding that the latter couldn’t answer the questions they had about the post-crisis economy.

In truth, the examples in economics textbooks were ‘chosen to fit the model’ being taught, says Carlin. Whereas ‘when researchers work on a problem, we start with a question in the world – and often some descriptive data, some hunches,’ she says. ‘And then we step back and think: “Which economic tools and which concepts are going to help us make progress on this question?”’

Carlin and Stevens teamed up with Sam Bowles, an economist at the Santa Fe Institute, to launch a new, open-source economics textbook published by CORE Econ and called The Economy 1.0. The first edition launched online in 2017. Earlier this year, the project – now with dozens of contributors from around the world – published the second version of its microeconomics curriculum.

They wanted to write a textbook that would draw in students and keep them motivated

For Bowles, the project recalled his correspondence with Martin Luther King Jr in the late 1960s. They’d met through anti-war activities, and King sent Bowles a list of economic questions he wanted help in answering. ‘I opened the list when it came,’ says Bowles. ‘I didn’t have a clue about how to answer any of them. It wasn’t just that I didn’t know the answers – I didn’t know where to look.’

Carlin, Stevens and Bowles had all been teachers before they were economists: Carlin has a degree in education; Stevens taught high-school mathematics; and Bowles taught high school in Nigeria. They wanted to write a textbook that would draw in students and keep them motivated.

The result is a textbook unlike the ones most economics students encounter. CORE Econ begins by charting the ‘hockey stick’ trendline of both economic growth and greenhouse gas emissions. The first chapter spans technological innovation, Thomas Malthus’s theory of population growth, and colonialism. It is now used by almost 400 universities on six continents, according to CORE Econ, and in just over half of UK universities that offer an economics degree.

In CORE, the classic model of a competitive market does not make an entrance until Chapter 8. ‘What CORE is doing in micro[economics] is trying to bring to the intro classroom what grad students have been taught for a long time,’ says Bowles.

For example, in the CORE textbook, firms are introduced as having the power to set prices. That might sound obvious but it’s not how things work in the typical introductory model of a perfectly competitive market. In that model, there are lots of identical sellers and the market sets a price. Firms can choose to either sell at that market price or not sell at all. Imagine a street with several very similar pizza parlours: if one tries to charge a much higher price than the others, customers will notice and stop shopping there, and that parlour will have to lower its price.

At least that’s the old Econ 101 logic. CORE puts that at the back of its approach to signify that it’s the special case rather than the norm, says Bowles. Instead, the CORE pedagogy teaches a model where firms sell different goods, and each has at least some power to dictate prices and wages. This choice has implications for more than prices. By eschewing the perfect competition model, CORE introduces the idea that power is a central aspect of market interactions.

CORE includes many other topics that, once, may not have made it even into the back of a textbook, including forced labour and the gender wage gap. Pirate ships of the 18th century are used to explore the role that institutions play in deciding who gets paid how much. The most recent version contains a unit on colonialism and its role in the industrial revolution.

It’s tempting to judge CORE and even Harvard’s Ec10 in ideological terms – as an overdue response or countermeasure to a laissez-faire approach. But the evolution of Econ 101 is about more than politics. (Despite its focus on traditionally more progressive topics, CORE has been criticised for being insufficiently ‘heterodox’, according to Stevens.) By elevating empiricism and by teaching multiple models of the economy, students in these new curriculums are learning how social sciences actually work.

‘A model is just an allegory,’ says the economist David Autor in his intermediate microeconomics course at MIT. For decades, Econ 101 taught one major allegory, in which markets worked well of their own accord, and buyers and sellers all emerged better off. Government, when it was mentioned at all, was frequently portrayed as an overzealous maintenance man – able to solve some problems but also meddling in markets that were fine on their own.

That is not how most contemporary economists think. Instead, they see the competitive market as one model among many. ‘The multiplicity of models is economics’ strength,’ writes the Harvard economist Dani Rodrik in Economics Rules (2015). ‘[W]e have a menu to choose from and need an empirical method for making that choice.’ As the Econ 101 curriculum catches up, economics students are finally getting a taste of the variety that the field has to offer.

As much of an improvement as the new curriculums are, they raise a puzzle. The traditional Econ 101 course was, for all its flaws, coherent and memorable. Students came away with a clear framework for thinking about the world. What does the new Econ 101leave students with, other than an appreciation that the world is complicated, and that data is important?

Carlin’s answer is that ‘the workhorse [of Econ 101] is that actors make decisions.’ Modelling those decisions remains a central part of economics. What’s changed is the way decision-makers are represented: they can be selfish, but they can also be altruistic. They can be rational, but they can also be biased or blinkered. They are social and strategic, and they interact with one another not just with the faceless market. Models help approximate the most salient features of these interactions, and students learn several different ones to guide their understanding. They also learn that models must fit the facts, and that a crucial part of economics is leaving the armchair and observing what is going on in the world.
 
The title itself is triggering me
It makes no sense whatsoever for social sciences to be empirical, as there is no such thing as repeatable isolatable experiments with humans, not to mention that humans are motivated actors
The methods for obtaining knowledge about inert unthinking matter are not appropriate for the science of studying thinking humans who independently act according to their motivations and preferences towards goals
 
The title itself is triggering me
It makes no sense whatsoever for social sciences to be empirical, as there is no such thing as repeatable isolatable experiments with humans, not to mention that humans are motivated actors
The methods for obtaining knowledge about inert unthinking matter are not appropriate for the science of studying thinking humans who independently act according to their motivations and preferences towards goals
Umm… Trust the Science? Jamal can’t read his textbook so our lesson in New Economics 101 will be cut to the efficacy capital of Jamal being a successful fried chicken businessman because chicken prices are so high. Maybe you should be more effectively altruistic like Jamal?
 
Umm… Trust the science? Jamal can’t read his textbook so our lesson in New Economics 101 will be cut to the efficacy capital of Jamal being a successful fried chicken businessman because chicken prices are so high. Maybe you should be more effectively altruistic like Jamal?
Empirical economics is essentially mathematical astrology
The only economic science that is worthy of being called a science in the first place is the one that uses logical chains of deductive reasoning
 
Empirical economics is essentially mathematical astrology
The only economic science that is worthy of being called a science in the first place is the one that uses logical chains of deductive reasoning
Have you read Quine’s Word and Object. I would recommend his philosophy due to his battle on empirical dogma that seems all to present in today’s world.
And let’s be honest here… you could never get a nigger to do a Markov chain.
 
At least Soviet style Marxism-Leninism promised more than just maybe a few bucks more an hour at a fast food job, but I guess this is progress to them.
 
They are talking about shortcomings in basic building blocks of economic theory. Literally everyone who takes introductory economics knows these snippets are not a perfect match for reality, and the phrase "ceteris paribus" is repeated endlessly. Sharpshooting elementary concepts like supply and demand curves is like saying we shouldn't teach freshmen about protons because they're really composites of quarks, and quarks are really quantum mechanical wave functions, and quantum mechanical wave functions are driving climate change and racism, which is what we should really be teaching. Then the student can't explain something basic like why food costs more or what a hydrogen nucleus is.
 
Have you read Quine’s Word and Object. I would recommend his philosophy due to his battle on empirical dogma that seems all to present in today’s world.
And let’s be honest here… you could never get a nigger to do a Markov chain.
Nay, I haven't
However, I endorse reading Rothbard's Man, Economy, and State. It is essentially a complete degree in economics and economic philosophy in just one book, not to mention you learn truths that you don't get to learn under empirical economics.
In fact, I could just quote the book to directly reply to some points in the OP article, but it is so full of absolute nonsense that it's not worth the time to do it
 
Nay, I haven't
However, I endorse reading Rothbard's Man, Economy, and State. It is essentially a complete degree in economics and economic philosophy in just one book, not to mention you learn truths that you don't get to learn under empirical economics.
In fact, I could just quote the book to directly reply to some points in the OP article, but it is so full of absolute nonsense that it's not worth the time to do it
I think you’d probably like Word and Object then, in the first few chapters it gets into how perceptive relation and reality is different between two separate observers in space at time t and that ideas can’t be always portrayed through empirical evidence to support hypothesis. Quine was more a logician whose magnum opuses came probably 20-30ish years before Rothbard around the 1950s.
 
They are talking about shortcomings in basic building blocks of economic theory. Literally everyone who takes introductory economics knows these snippets are not a perfect match for reality, and the phrase "ceteris paribus" is repeated endlessly. Sharpshooting elementary concepts like supply and demand curves is like saying we shouldn't teach freshmen about protons because they're really composites of quarks, and quarks are really quantum mechanical wave functions, and quantum mechanical wave functions are driving climate change and racism, which is what we should really be teaching. Then the student can't explain something basic like why food costs more or what a hydrogen nucleus is.
It's like that for every social science field. In my teaching practicums, the professors would always make jokes about how the "World Religions 101" classes we were going to teach were filled with "lies" and would tell us about common pitfall questions that could get tossed to us by smarter than average freshmen and strategies to deal with them without getting the lecture derailed.

No one should expect an introductory level class in the social sciences or humanities to be anything more than an introduction to the ideas, concepts, methods, history and people involved that gives you very little insight into an integrated understanding into various models of function.
 
No one should expect an introductory level class in the social sciences or humanities to be anything more than an introduction to the ideas, concepts, methods, history and people involved that gives you very little insight into an integrated understanding into various models of function.
I argue that the "economics" taught in Economics 101 is mostly wrong, because it is empiricist and mathematical.
It is perfectly possible to devise an introductory level economics class that gives a lot of true insight that will not be overthrown or undermined by some "later" or "more advanced" idea. Arguably, the basics of economics are so easy to grasp if you don't overcomplicate them with retarded nonsensical mathematical models, I am willing to wager that, within half an hour, assuming I've got their attention and they're not distracted, I could teach an elementary schooler economics on a level that puts them among the top 1% worldwide in terms of economic knowledge. If you count misinformed people as having negative knowledge, then top 0.01%.
I shall quote some Rothbard from Man, Economy, and State, pp. 323f.
Another danger in the use of [the concept of an evenly rotating economy, also known as "the model of perfect competition"] is that its purely static, essentially timeless, conditions are all too well suited for the use of mathematics. Mathematics rests on equations, which portray mutual relationships between two or more “functions.” Of themselves, of course, such mathematical procedures are unimportant, since they do not establish causal relationships. They are of the greatest importance in physics, for example, because that science deals with certain observed regularities of motion by particles of matter that we must regard as unmotivated. These particles move according to certain precisely observable, exact, quantitative laws. Mathematics is indispensable in formulating the laws among these variables and in formulating theoretical explanations for the observed phenomena. In human action, the situation is entirely different, if not diametrically opposite. Whereas in physics, causal relations can only be assumed hypothetically and later approximately verified by referring to precise observable regularities, in praxeology we know the causal force at work. This causal force is human action, motivated, purposeful behavior, directed at certain ends. The universal aspects of this behavior can be logically analyzed. We are not dealing with “functional,” quantitative relations among variables, but with human reason and will causing certain action, which is not “determinable” or reducible to outside forces. Furthermore, since the data of human action are always changing, there are no precise, quantitative relationships in human history. In physics, the quantitative relationships, or laws, are constant; they are considered to be valid for any point in human history, past, present, or future. In the field of human action, there are no such quantitative constants. There are no constant relationships valid for different periods in human history. The only “natural laws” (if we may use such an old-fashioned but perfectly legitimate label for such constant regularities) in human action are qualitative rather than quantitative. They are, for example, precisely the laws educed in praxeology and economics—the fact of action, the use of means to achieve ends, time preference, diminishing marginal utility, etc.
Mathematical equations, then, are appropriate and useful where there are constant quantitative relations among unmotivated variables. They are singularly inappropriate in praxeology and economics. In the latter fields, verbal, logical analysis of action and its processes through time is the appropriate method. It is not surprising that the main efforts of the “mathematical economists” have been directed toward describing the final equilibrium state by means of equations. For in this state, since activities merely repeat themselves, there seems to be more scope for describing conditions by means of functional equations. These equations, at best, however, can do no more than describe this equilibrium state.
Aside from doing no more than verbal logic can do, and therefore violating the scientific principle of Occam’s razor—that science should be as simple and clear as possible—such a use of mathematics contains grave errors and defects within itself. In the first place, it cannot describe the path by which the economy approaches the final equilibrium position. This task can be performed only by verbal, logical analysis of the causal action of human beings. It is evident that this task is the important one, since it is this analysis that is significant for human action. Action moves along a path and is not describable in an unchanging, evenly rotating world. The world is an uncertain one, and we shall see shortly that we cannot even pursue to its logical conclusion the analysis of a static, evenly rotating economy. The assumption of an evenly rotating economy is only an auxiliary tool in aiding us in the analysis of real action. Since mathematics is least badly accommodated to a static state, mathematical writers have tended to be preoccupied with this state, thus providing a particularly misleading picture of the world of action. Finally, the mathematical equations of the evenly rotating economy describe only a static situation, outside of time. They differ drastically from the mathematical equations of physics, which describe a process through time; it is precisely through this description of constant, quantitative relations in the motion of elements that mathematics renders its great service in natural science. How different is economics, where mathematics, at best, can only inadequately describe a timeless end result!
The use of the mathematical concept of “function” is particularly inappropriate in a science of human action. On the one hand, action itself is not a function of anything, since “function” implies definite, unique, mechanical regularity and determination. On the other hand, the mathematics of simultaneous equations, dealing in physics with unmotivated motion, stresses mutual determination. In human action, however, the known causal force of action unilinearly determines the results.
 
You actually believe this? The past few decades have been enough to establish the average economics graduate is no better than the weed smoking astrologist.
It's more like if you're an economics graduate you have two options, be honest and resign yourself to a fate of teaching community college classes as a lecturer for near minimum wages, or fellate and flatter the powers that be with absolute bullshit and get an academic sinecure and media and businesses throwing money at you to speak and write.
 
What happens to the job market when the government raises the minimum wage? For decades, higher education in the United States has taught economics students to answer this question by reasoning from first principles. When the price of something rises, people tend to buy less of it. Therefore, if the price of labour rises, businesses will choose to ‘buy’ less of it – meaning they’ll hire fewer people. Students learn that a higher minimum wage means fewer jobs.
And that's exactly what happened, all the stores I go to now are ran by skeleton crews that can barely hold down the fort.
 
Empirical Econ is rife with p-hacking, meaningless studies, poor conclusions, and weak significance. The only reason it’s been accepted is because natural experiments will virtually always lead to low significance. The problem is that the findings are coming first—this survey of college men PROVES the popularity of a fifteen-minute city—rather than the economic models (i.e. the logic).

Humorously, the problem is pretty quickly explained through misaligned incentives—an application of classical economic thought—as seen in that Deep Thoughts thread about fixing academia.

One of my issues with the minimum wage debate is that it’s always relative. Raising the minimum wage for janitors at big tech companies in Palo Alto means dick: those firms can afford to pay, and the employees that matter want facilities clean. Better keep the janitors and fire one of those $300k DEI consultants (which is what’s happening now).

For any firm where profits are slim enough—like fast food joints or grocery—a rise in the minimum wage from $12 to $15 to whatever is devastating. This is why all of the impoverished Democrats in California are in tears. The leopards weren’t supposed to eat my face!

A minimum wage that broadly changes the market is a bad intervention. It’s what Newsom literally just tested: when people don’t work or the price floor is too high, there’s no tax money either on payroll or on income. He’s got a clusterfuck going on at the hospitals right now because of it.

For a lot of the academic mess, I blame importing Asians. They lack whimsy and creativity. I have never heard an Indian referred to as a Renaissance man whereas every major historical mathematician or economist unequivocally was.

In any case, all economists are losers, and I would not have sex with them.
 
For a lot of the academic mess, I blame importing Asians. They lack whimsy and creativity. I have never heard an Indian referred to as a Renaissance man whereas every major historical mathematician or economist unequivocally was.

In any case, all economists are losers, and I would not have sex with them.
I think depends on what Asians.
There are based indians like Anand Lal Shimpi that made the famous Anadtech and reviewed tech in late 90s.
I would rather say the issue is importing mediocre competence/DEI workforce. And they are not only Indian.
 
Empirical Econ is rife with p-hacking, meaningless studies, poor conclusions, and weak significance. The only reason it’s been accepted is because natural experiments will virtually always lead to low significance. The problem is that the findings are coming first—this survey of college men PROVES the popularity of a fifteen-minute city—rather than the economic models (i.e. the logic).

Humorously, the problem is pretty quickly explained through misaligned incentives—an application of classical economic thought—as seen in that Deep Thoughts thread about fixing academia.

One of my issues with the minimum wage debate is that it’s always relative. Raising the minimum wage for janitors at big tech companies in Palo Alto means dick: those firms can afford to pay, and the employees that matter want facilities clean. Better keep the janitors and fire one of those $300k DEI consultants (which is what’s happening now).

For any firm where profits are slim enough—like fast food joints or grocery—a rise in the minimum wage from $12 to $15 to whatever is devastating. This is why all of the impoverished Democrats in California are in tears. The leopards weren’t supposed to eat my face!

A minimum wage that broadly changes the market is a bad intervention. It’s what Newsom literally just tested: when people don’t work or the price floor is too high, there’s no tax money either on payroll or on income. He’s got a clusterfuck going on at the hospitals right now because of it.

For a lot of the academic mess, I blame importing Asians. They lack whimsy and creativity. I have never heard an Indian referred to as a Renaissance man whereas every major historical mathematician or economist unequivocally was.

In any case, all economists are losers, and I would not have sex with them.
Ramanujan is probably India’s most historically respected mathematician, I’d probably pick him over whatever chink vaporware junk science is pushed to paper mills in order to get that sweet CCP money.
 
I think depends on what Asians.
I don’t strictly disagree: I think (and this makes me cringe) social sciences are by necessity interdisciplinary.

Interdisciplinary study is best augmented through a liberal education—as in, rich 1700s landowner learning four languages, writing poetry, and building span bridges type of study. How can anyone talk about the labor market for stevedores if they have no understanding of shipping, ports, history, or alcoholism? And yet, modern economists persist.

I specifically mentioned Indians instead of, say, Chinese because many historically significant Indians became Renaissance men by most standards. But, like I said, I’ve never heard them called that. Polyglots and polymaths, yes. It’s a weird artifact of their foreignness.

I think Asian education or culture prioritizes regurgitation over cleverness whereas Western individualism holds the reverse. I agree that this is regional and likely dependent on former colonization and feudal hierarchies. (IIRC, India was handled differently from other British colonies because a lot of control was already held by large landowners who could be treated as “near peers” to the EIC and British military counterparts. The landowners coordinate shipments and pay taxes, the EIC has a monopoly on trade, and everybody gets rich.)

I argue that, when we import foreign academics, we aren’t just importing their brains: we’re importing their ethos. The Western tradition brought us the Enlightenment and the Industrial Revolution for a reason. We’re sacrificing that because Dr. Singh publishes twice a year and Dr. Wang accepted a salary 30% lower than anyone else, and their academic ethos says it’s okay to push garbage as long as something gets printed.

I think of it like this: some species have a lot of young, knowing many will die out early. Other species have few and raise them intensively over years. Who’s going to inherit the Earth? Who’d be a more interesting inheritor?
 
It makes no sense whatsoever for social sciences to be empirical, as there is no such thing as repeatable isolatable experiments with humans, not to mention that humans are motivated actors
The methods for obtaining knowledge about inert unthinking matter are not appropriate for the science of studying thinking humans who independently act according to their motivations and preferences towards goals

Empirical economics is essentially mathematical astrology
The only economic science that is worthy of being called a science in the first place is the one that uses logical chains of deductive reasoning

At least Soviet style Marxism-Leninism promised more than just maybe a few bucks more an hour at a fast food job, but I guess this is progress to them.
At first blush, it sounds like what's going on is an attempt to introduce Critical Theory into economics (in very basic terms, extreme focus is placed on any and all shortcomings in the subject at hand, with the ultimate goal being the destruction of said subject in order to bring about an ephemeral "better state" that's just always out of reach. It's cancerous at its core, and needs to be rooted out wherever found).
 
At first blush, it sounds like what's going on is an attempt to introduce Critical Theory into economics (in very basic terms, extreme focus is placed on any and all shortcomings in the subject at hand, with the ultimate goal being the destruction of said subject in order to bring about an ephemeral "better state" that's just always out of reach. It's cancerous at its core, and needs to be rooted out wherever found).
Sounds about a century too late
Mainstream economists have already hypothesized a "model of perfect competition", placed it as their running model, and identified all deviations as "market failure"
 
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