This paper presents on three new styled facts: first, schools of public affairs hire many economists; second, those economists are disproportionately female; and third, salaries in schools of public affairs are, on average, lower than salaries in mainline departments of economics. We seek to understand the linkage, if any, among these facts. We assembled a unique database of over 2,150 faculty salary profiles from the top 50 Schools of Public Affairs in the United States as well as the corresponding Economics and Political Science departments. For each faculty member we obtained salary data to analyze the relationship between scholarly discipline, department placement, gender, and annual salary compensation. We found substantial pay differences based on departmental affiliation, significant differences in citation records between male and female faculty in schools of public affairs, and no evidence that the public affairs discount could be explained by compositional differences with respect to gender, experience or scholarly citations.
That is the abstract of a new NBER working paper by Lori L. Taylor, Kalena E. Cortes, and Travis C. Hearn. I have a vague sense that the same might be true of public policy schools as well. Why?
LeBron James didn’t always have thick calves, a raging six-pack, and arms like the Incredible Hulk.
Ask LeBron about his off-season training regimen, and he’ll share a detailed run-down of his workout plan and on-the-court practice routine. When he entered the NBA, LeBron wasn’t a strong shooter. I’d bet the house that early in his career, LeBron built his off-season training regimen around his weak jump shot and disappointing 42% field goal percentage during his rookie season. As his Instagram posts reveal, LeBron worked for his strength, agility, impeccable history of injury avoidance, and an outstanding 54% field goal percentage during his 14th NBA season.
Athletes train. Musicians train. Performers train. But knowledge workers don’t.
Knowledge workers should train like LeBron, and implement strict “learning plans.” To be sure, intellectual life is different from basketball. Success is harder to measure and the metrics for improvement aren’t quite as clear. Even then, there’s a lot to learn from the way top athletes train. They are clear in their objectives and deliberate in their pursuit of improvement.
Knowledge workers should imitate them.
That is from David Perell, more at the link. Recently, one of my favorite questions to bug people with has been “What is it you do to train that is comparable to a pianist practicing scales?” If you don’t know the answer to that one, maybe you are doing something wrong or not doing enough. Or maybe you are (optimally?) not very ambitious?
A cat flap that automatically bars entry to a pet if it tries to enter with prey in its jaws has been built as a DIY project by an Amazon employee.
Ben Hamm used machine-learning software to train a system to recognise when his cat Metric was approaching with a rodent or bird in its mouth.
When it detected such an attack, he said, a computer attached to the flap’s lock triggered a 15-minute shut-out.
Mr Hamm unveiled his invention at an event in Seattle last month.
What are your best tips for running an Unconference? Google and Facebook have put on versions of these, do you know of anywhere on-line that offers their templates?
This paper dates from 2012, but it is one of the best looks at what we know about busing, based on rigorous analysis of data, combined with natural experiments:
We study the impact of the end of race-based busing in Charlotte-Mecklenburg schools (“CMS”) on academic achievement, educational attainment, and young adult crime. In 2001, CMS was prohibited from using race in assigning students to schools. School boundaries were redrawn dramatically to reflect the surrounding neighborhoods, and half of its students received a new assignment. Using addresses measured prior to the policy change, we compare students in the same neighborhood that lived on opposite sides of a newly drawn boundary. We find that both white and minority students score lower on high school exams when they are assigned to schools with more minority students. We also find decreases in high school graduation and four-year college attendance for whites, and large increases in crime for minority males. The impacts on achievement and attainment are smaller in younger cohorts, while the impact on crime remains large and persistent for at least nine years after the re-zoning. We show that compensatory resource allocation policies in CMS likely played an important role in mitigating the impact of segregation on achievement and attainment, but had no impact on crime. We conclude that the end of busing widened racial inequality, despite efforts by CMS to mitigate the impact of increases in segregation.
Linguist John McWhorter strongly supports phonics and direct instruction:
Now that it’s summer, I have a suggestion for how parents can grant their wee kiddies the magic of reading by Labor Day: Pick up Siegfried Engelmann’s Teach Your Child to Read in 100 Easy Lessons. My wife and I used it a while ago with our then-4-year-old daughter, and after a mere 20 cozy minutes a night, a little girl who on Memorial Day could recognize on paper only the words no and stop and the names of herself and her family members could, by the time the leaves turned, read simple books.
…Engelmann’s book, which he co-wrote with Phyllis Haddox and Elaine Bruner, was first published in the early 1980s, but it was based on work from the late 1960s. That’s when Engelmann was involved in the government-sponsored Project Follow Through, whose summary report compared nine methods for how to teach reading and tracked results on 75,000 children from kindergarten through third grade. The results, though some critics over the years have rejected them on methodological grounds, were clear: The approach that proved most effective was based on phonics—teaching children how to sound words out, letter by letter, rather than encouraging students to recognize words as single chunks, also called the whole-word system. Specifically, the most successful approach supplemented basic phonics with a tightly scripted format emphasizing repetition and student participation, often dubbed “direct instruction.” As I have previously explained for NPR, the results were especially impressive among poor children, including black ones.
…And yet in the education world, Engelmann’s technique is considered controversial.
Here are previous MR posts on Direct Instruction, the teaching method that works even though many teachers don’t like it.
That is the topic of my latest Bloomberg column, here is one excerpt:
It is striking and sad that there is so much over-the-top criticism of social media yet so little faith in education as a possible remedy.
Public school is supposed to be good and effective, right? The internet is supposed to be destroying our world, or at least democracy and sanity, right? So why not teach people — in school — how to use the internet better?
As it stands, plenty of teachers give informal advice about how to use the internet, but there isn’t much in the way of formal institutions or curriculums. I am not saying this needs to be a full, semester-long class. But surely internet usage and understanding is worthy of a formal dedication of at least a few weeks of attention, maybe more.
Somehow America has moved very, very far away from a problem-solving mindset.
Addendum: As a side note:
Twitter search is one of the most underrated parts of the internet. If I am looking to learn more about a current event, I typically go to Twitter before Google and type in the relevant search term. The results seem more up-to-date, and I will probably be exposed to a wider range of opinions.
From American Economic Journal, Applied Economics:
“Do Women Give Up Competing More Easily? Evidence from the Lab and the Dutch Math Olympiad,” by Thomas Buser and Huaiping Yuan.
We use lab experiments and field data from the Dutch Math Olympiad to show that women are more likely than men to stop competing if they lose. In a math competition in the lab, women are much less likely than men to choose competition again after losing in the first round. In the Math Olympiad, girls, but not boys, who fail to make the second round are less likely to compete again one year later. This gender difference in the reaction to competition outcomes may help to explain why fewer women make it to the top in business and academia.
C’mon people, this one should be a no-brainer, can’t you at least call upon your craven loyalty to the higher education lobby to reject the free tuition proposals from Warren and Sanders?:
Just three German universities placed in the top 100 world institutions in rankings compiled by Quacquarelli Symonds, a British education consultancy…
In Germany, public funds covered $14,092 per student in 2015, the latest year for which the OECD has compiled numbers. In the United States, public funds covered $10,563 per student. But once private money was taken into account, U.S. university spending was far higher: $30,003 per student, compared with $17,036 in Germany…
“The best German universities look a lot like the University of Colorado. It’s not going to be like the top privates. It’s not even going to be like the top publics,” said Alex Usher, a Canadian education consultant who has studied how countries fund their university systems. “They’re perfectly good schools. They churn out good graduates. They’re not as focused on creating an elite. And in many ways that’s what the top systems in the United States are trying to do.”
The German system is entirely defensible if you believe that higher education is largely a matter of wasteful signaling; that is not my view, but believe it or not I know a few people who hold it.
The simple reality is that when it comes to higher education policy, President Trump is much better than the Democratic Party thought leaders.
- “About 80 percent of respondents reported drinking alcohol at least two or three times a month, and 39 percent reported drinking at least twice a week.” (60% reported drinking once a week or more)
- “Students who came from lower-income households were much less likely to drink than their wealthier peers; 35 percent of respondents whose parents make less than $40,000 in combined income drank at least once a week while that figure was 69 percent for students whose parents make at least a combined $250,000.”
Via Tyler R.
That is the theme of my latest Bloomberg column, here is one excerpt:
How could L.A.’s tech scene develop even further? Imagine that virtual reality is the “next big thing” and the gamification of just about everything, including education, proceeds apace. For the next generation of startups, that might throw the balance of power in the direction of expertise in entertainment and design — a sense of the theatrical, in other words, intermediated through tech. That could favor the culture of Los Angeles and Hollywood. Southern California also has a strong background in aerospace and military contracting, two areas that could produce a spillover effect for the next tech booms, especially if they involve transportation. The region also remains the leading U.S. manufacturing center, and that too could be a source of future synergies.
Northern California had an original advantage over Southern California as a center of free thinking and thus as a tech hub. Think back to Haight-Ashbury, the 1960s, Beatniks, LSD and the Whole Earth Catalog, the psychedelic movement, the bohemian and gay cultures of San Francisco. All of that bred an atmosphere of rebellion, and it helped birth the personal computer and a large movement of non-conformist hippie programmers, often working out of their proverbial garages.
But those cultural roots have largely faded, and if anything today San Francisco and the Bay Area are better known for political correctness and a conformist culture of scolding and groupthink. That can’t be good for the region’s long-term creativity.
There is much more at the link.
Robert Samuelson, the economics columnist, has written a column titled, It’s time we tear up our economics textbooks and start over. What he actually says is we should tear up Greg Mankiw’s Principles of Economics:
But as a teaching device, [Mankiw’s] “Principles of Economics” has fallen behind. There’s little analysis of the impact of the Internet and digitalization on competition and markets. I couldn’t find either Apple or Facebook in the index; Google gets a few mentions.
Likewise, little attention is paid to the 2007-2009 Great Recession, the worst business downturn since the Great Depression, which also receives scant coverage relative to its significance. (Together, the two recessions receive about three pages, from 725 to 727.)
There’s some misleading information about the Great Recession and parallel financial crisis. On Page 691, we have this: “Today, bank runs are not a major problem for the U.S. banking system or the Fed.” This would surely surprise the Fed, which poured trillions of dollars into the economy to prevent financial collapse.
Mankiw’s assertion can be defended on narrow, technical grounds. There was no run by retail depositors (people like you and me) against commercial banks. We were protected by deposit insurance. But there was a huge run — a panic — by institutional investors (pension funds, hedge funds, insurance companies, endowments) that withdrew funds from traditional banks, investment banks and the commercial paper market.
…Mankiw’s textbook needs more than a touch-up; it needs a major overhaul. It has very little history: for example, the industrialization of the 19th century. Nor is there much about the expansion of the global economy. China gets a few mentions.
The market for principles textbooks, however, is competitive and there are alternatives to Mankiw. Krugman and Wells, for example, have a lot of very interesting boxes on the world economy and historical events. Modern Principles of Economics doesn’t use boxes but we illustrate the principles of economics with historical events and, of course, we use tech companies such as Facebook and Apple to discuss network effects and coordination games. Samuelson is a bit harsh on Mankiw, however, because it’s very easy to overwhelm students with details. Like physics, economics is powerful because it explains many things with a handful of principles. It’s true that Mankiw’s book doesn’t have much history or color–his paradigmatic market is the market for ice cream–but abstraction can focus attention. The tradeoff, of course, is that it can also lead to vanilla economics. But the Mankiw text is clearly written and the micro text is especially well organized, one reason we chose a similar organization for Modern Principles.
In Modern Principles we illustrate the ideas with more interesting markets but we work with them repeatedly so students don’t become overwhelmed. Our paradigmatic market is the market for oil. We use it to teach supply and demand, cartels, and the importance of real macroeconomic shocks. Using the market for oil also lets us teach about some important events in world history such as the OPEC oil crisis and the industrialization of China.
Samuelson is correct that the financial crisis was a run on the shadow banks but he’s incorrect that this isn’t taught to students of Econ 101. Here’s Tyler on the financial crisis. He covers leverage, securitization, asymmetric information, bank runs, fire sales and the rise of the shadow banking system. Students with the right textbook are well informed about the financial crisis and the economic principles that can help us to understand, analyze and perhaps avoid future financial crises.
Baumol’s earliest work on the subject, written with William Bowen, was published in 1965. Analyses like that of Messrs Helland and Tabarrok nonetheless feel novel, because the implications of cost disease remain so underappreciated in policy circles. For instance, the steadily rising expense of education and health care is almost universally deplored as an economic scourge, despite being caused by something indubitably good: rapid, if unevenly spread, productivity growth. Higher prices, if driven by cost disease, need not mean reduced affordability, since they reflect greater productive capacity elsewhere in the economy. The authors use an analogy: as a person’s salary increases, the cost of doing things other than work—like gardening, for example—rises, since each hour off the job means more forgone income. But that does not mean that time spent gardening has become less affordable.
It’s an implication of the Baumol effect that everyone ends up working in a low productivity industry!
The only true solution to cost disease is an economy-wide productivity slowdown—and one may be in the offing. Technological progress pushes employment into the sectors most resistant to productivity growth. Eventually, nearly everyone may have jobs that are valued for their inefficiency: as concert musicians, or artisanal cheesemakers, or members of the household staff of the very rich. If there is no high-productivity sector to lure such workers away, then the problem does not arise.
Misunderstanding the Baumol effect can lead to a cure worse than the “disease”:
These possibilities reveal the real threat from Baumol’s disease: not that work will flow toward less-productive industries, which is inevitable, but that gains from rising productivity are unevenly shared. When firms in highly productive industries crave highly credentialed workers, it is the pay of similar workers elsewhere in the economy—of doctors, say—that rises in response. That worsens inequality, as low-income workers must still pay higher prices for essential services like health care. Even so, the productivity growth that drives cost disease could make everyone better off. But governments often do too little to tax the winners and compensate the losers. And politicians who do not understand the Baumol effect sometimes cap spending on education and health. Unsurprisingly, since they misunderstand the diagnosis, the treatment they prescribe makes the ailment worse.
My only complaint is that the excellent reviewer has not followed our lead and called it the Baumol effect–cost disease is a misleading name!
Addendum: Other posts in this series.
The present work identifies a so-far overlooked bias in sequential impression formation. When the latent qualities of competitors are inferred from a cumulative sequence of observations (e.g., the sum of points collected by sports teams), impressions should be based solely on the most recent observation because all previous observations are redundant. Based on the well-documented human inability to adequately discount redundant information, we predicted the existence of a cumulative redundancy bias. Accordingly, perceivers’ impressions are systematically biased by the unfolding of a performance sequence when observations are cumulative. This bias favors leading competitors and persists even when the end result of the performance sequence is known. We demonstrated this cumulative redundancy bias in 8 experiments in which participants had to sequentially form impressions about the qualities of two competitors from different performance domains (i.e., computer algorithms, stocks, and soccer teams). We consistently found that perceivers’ impressions were biased by cumulative redundancy. Specifically, impressions about the winner and the loser of a sequence were more divergent when the winner took an early lead compared with a late lead. When the sequence ended in a draw, participants formed more favorable impressions about the competitor who was ahead during most observations. We tested and ruled out several alternative explanations related to primacy effects, counterfactual thinking, and heuristic beliefs. We discuss the wide-ranging implications of our findings for impression formation and performance evaluation.