Edward Conard

Top Ten New York Times Bestselling Author

  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “Unintended Consequences offers deep and well-argued analyses on almost every issue.” - The New York Times
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
  • “There are an amazing number of good ideas and interesting points made in Unintended Consequences. The thinking underlying it, and the obvious depth of understanding of the author, are very impressive.” - Steven Levitt, coauthor of Freakonomics; 2004 John Bates Clark Medal
  • “…a comprehensive explanation of the modern economy.” - Julian Robertson, Founder, Tiger Management
  • “A full-throated defense of economic dynamism.” - The Wall Street Journal
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “…reminds us that inequality sends a signal of what society lacks most, in America’s case, entrepreneurship and risk taking.” - Lawrence Lindsey, CEO, The Lindsey Group, former Director of the National Economic Council
  • “Unintended Consequences should be read by anyone who takes for granted the superiority of progressive taxation and has not thought carefully about the trade-offs involved.” - The New Republic
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
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Thursday, April 22, 2021

The teacher pay gap is really about the STEM salary premium

AI Summary. Census Bureau data indicate education majors earn salaries comparable to other non-STEM graduates such as liberal arts and social science majors, with the pay gap appearing instead against STEM graduates, who often earn about 20% more. Public schools pay on uniform experience-and-degree scales rather than subject expertise.

Andrew Biggs American Enterprise Institute
Date Posted:
April 22, 2021
Is Database:
Database

New Census Bureau data show that education majors earn salaries comparable to non-STEM graduates, but a 20% salary premium for STEM graduates drives the perceived teacher pay gap. @AndrewBiggs

New Census Bureau data show that education majors earn salaries comparable to non-STEM graduates, but a 20% salary premium...

Is the teacher pay gap really a STEM salary premium?

Core argument: Census Bureau data show STEM graduates often earn 20% more than non-STEM graduates, while education majors earn salaries comparable to liberal arts and social science graduates, locating the teacher pay gap in the STEM premium rather than a teacher–non-teacher disparity.

The perceived teacher pay gap is largely driven by the salary premium associated with STEM degrees rather than a disparity between teachers and non-teachers. New Census Bureau data reveal that education majors, who often become teachers, earn salaries comparable to other non-STEM graduates, such as those in liberal arts or social sciences. The real gap emerges when comparing these groups to STEM graduates, who earn significantly higher salaries, often 20% more. This discrepancy is due to the higher demand for quantitative skills in the labor market and the rigorous nature of STEM fields. Public schools typically use a uniform pay scale based on experience and degree level, not subject expertise, leading to teacher surpluses in some areas and shortages in others. Adjusting pay scales to offer a premium for STEM degree holders could attract more qualified candidates to teaching positions in these fields.

Takeaways by Macro Roundup® AI

  1. Census Bureau data show STEM graduates often earn 20% more than non-STEM graduates, while education majors earn salaries comparable to liberal arts and social science graduates, locating the teacher pay gap in the STEM premium rather than a teacher–non-teacher disparity.
  2. The STEM salary premium is attributed to higher labor-market demand for quantitative skills and the rigorous nature of STEM fields.
  3. Public schools set pay by experience and degree level rather than subject expertise, producing teacher surpluses in some areas and shortages in others, and adding a premium for STEM degree holders could attract more qualified candidates to those positions.

Andrew Biggs and Jason Richwine, "The teacher pay gap is really about the STEM salary premium," American Enterprise Institute, April 21, 2021, https://www.aei.org/op-eds/the-teacher-pay-gap-is-really-about-the-stem-salary-premium/

The teacher pay gap is really about the STEM salary premium

With classrooms finally reopening and hundreds of billions of federal dollars earmarked for public schools, the issue of teacher pay will soon re-emerge. Before the pandemic, public school teachers were fighting against a widely perceived “teacher salary penalty.” President Biden vowed to “correct this wrong,” promising a dramatic increase in federal education funding to “give teachers a raise.” But what causes these pay differences? New Census Bureau data suggest that most teachers are paid roughly what they’d receive in other jobs. But if public schools wish to attract the best-qualified graduates to teaching, they need to stop paying the physics teacher the same as the gym teacher.

The Economic Policy Institute, a teacher-union-affiliated think tank, reports that public school teachers receive salaries about 20 percent lower than non-teachers with equal levels of experience and education.

But what does it mean for education to be “equal”? College graduates attended different institutions, majored in different fields, and received different GPAs, leading to different salaries later in life. That’s why parents encourage their children to attend more competitive colleges and, increasingly, to favor STEM fields over liberal arts majors.

Those differences in educational quality are tough to measure. Instead, teacher pay gap studies from groups like the Economic Policy Institute focus solely on educational quantity: everyone who has the amount of education — a Bachelor’s degree, a Master’s degree, and so on — is assumed to be equally-educated and meriting the same salary. This assumption makes the number-crushing easier, but also leads to implausible results.

For instance, look at nurse anesthetists. Using the same data and statistical controls that produce the 20% teacher salary gap, nurse anesthetists appear to be overpaid by 74%, even though nurse anesthetists do essentially the same work as physician anesthesiologists at roughly 40% lower salaries. The reason nurse anesthetists — along with air traffic controllers, firefighters, and airline pilots — look overpaid is that they work in technically demanding jobs that allow little room for error, but don’t have extremely high levels of formal education. Electricians, the pay-gap studies would tell us, are as overpaid as teachers are underpaid. Teacher pay gap studies just aren’t credible if they produce nonsensical results for so many other occupations.

Our study addresses these problems using a new Census Bureau dataset called Post-Secondary Education Employment Outcomes (PSEO). The PSEO data tell us what college or university a person attended, what subject they majored in, and how much they earned once in the workforce.

At first glance, the PSEO data confirm that Bachelor’s or a Master’s degree holders in Education — most of whom work as teachers — receive lower pay than other degree-holders. But the PSEO data let us dig deeper, showing that the real pay gap isn’t teachers versus non-teachers but STEM graduates versus the rest of us.

Education majors at the Bachelor’s or Master’s level receive salaries not statistically different from those of other non-STEM majors, such as liberal arts or social sciences. The seeming teacher pay gap comes when we compare Education degree holders to workers with STEM degrees such as math, computer sciences or engineering. STEM degree holders do indeed receive much higher salaries, often 20% or more. But this pay gap isn’t versus Education majors, it’s relative to nearly all non-STEM degree holders.

And those pay differences aren’t surprising: STEM fields demand higher SAT and GRE exam scores than other majors, are more difficult and rigorous, and leave students with the quantitative skills that are most demanded in the modern labor market. Education majors much more resemble grads with liberal arts or social science degrees than they do STEM graduates. The teacher pay gap really isn’t about teachers. It’s about the broader salary premium paid to STEM degree holders over other college grads, including those who go into teaching.

Many schools might wish their math classes to be taught by math majors and their physics classes by physics majors. If so, the key is to stop paying the math and physics teachers the same as the gym teacher. But that’s not how most public schools work. Most schools pay all teachers using a single salary formula based solely on years of work experience and the highest degree they obtained, not the subject in which they earned that degree.

Those one-size-fits-all pay scales produce both teacher surpluses and teacher shortages. For instance, Connecticut public schools in 2015 received 167 applicants per open elementary school teaching spot, with a median applicant quality of 4.5 on a 1-to-5 scale. And yet those schools received only 17 applicants per high school science opening, with applicant quality rated just two out of five. A simple alteration to teacher pay schedules, where STEM degree holders receive a salary premium, would help resolve these problems.

We can attract more STEM majors to become public school teachers, but a one-size-fits-all pay scale isn’t the way to do it.

Ed Comment:“What is the database they are using? What data is in it. Could we use it to gain insight into what is happening over time to 60th percentile workers (who don't go to 4 yrs of college) and whether lesser-skilled workers are increasingly populating jobs (not sectors) suffering from baumol's cost disease?”

Ben Comment: "They're using the Census's Post-Secondary Employment Outcomes (PSOE) survey which is part of the LEHD program. I think we can do a little work in the direction you're thinking but the data are limited to only 10 states (see attached screenshot) and relatively limited in the educational institutions it covers - looks like only public schools. That might cover enough of the Associate degree level of education; I don't know. The dataset also gives outcomes at the 2-digit NAICS level. That matches what we did in the Swanson Replication but now that we're getting into individuals, I wonder if that's what we want to look at? Secretaries at Goldman didn't go to harvard. Maybe goldman doesn't hire secretaries directly anymore? We can do something like "Students who went to these 2 year institutions in these states ended up in these industries". I'm just not sure how representative of anything that would be."

STEM salary premium reflected in teacher compensation, “…At first glance, the PSEO data confirm that Bachelor’s or a Master’s degree holders in Education — most of whom work as teachers — receive lower pay than other degree-holders. But the PSEO data let us dig deeper,showing that the real pay gap isn’t teachers versus non-teachers but STEM graduates versus the rest of us.Education majors at the Bachelor’s or Master’s level receive salaries not statistically different from those of other non-STEM majors, such as liberal arts or social sciences. The seeming teacher pay gap comes when we compare Education degree holders to workers with STEM degrees such as math, computer sciences or engineering. STEM degree holders do indeed receive much higher salaries, often 20% or more.But this pay gap isn’t versus Education majors, it’s relative to nearly all non-STEM degree holders.And those pay differences aren’t surprising:STEM fields demand higher SAT and GRE exam scores than other majors, are more difficult and rigorous, and leave students with the quantitative skills that are most demanded in the modern labor market. Education majors much more resemble grads with liberal arts or social science degrees than they do STEM graduates. The teacher pay gap really isn’t about teachers. It’s about the broader salary premium paid to STEM degree holders over other college grads, including those who go into teaching.”

  • College
  • Workforce
    • Education
    • Inequality
    • Wages/Income

Hsieh-Moretti on Housing Regulation: A Gracious Admission of Error

AI Summary. A correction to an influential paper on housing constraints and spatial misallocation raises its estimated gain from easing housing regulation, with US GDP projected to be 36% higher over 45 years rather than the originally reported 8.9%.

Bryan Caplan The Library Of Economic And Liberty
Date Posted:
April 22, 2021
Is Database:
Database

Hsieh-Moretti’s estimate of GDP gains from urbanization is significantly larger than previously thought, with corrected estimates suggesting GDP could be 36% higher over 45 years.

Hsieh-Moretti’s estimate of GDP gains from urbanization is significantly larger than previously thought, with...

How much would easing housing regulation raise GDP?

Core argument: A corrected version of Hsieh and Moretti's estimate implies GDP could be 36% higher over 45 years absent housing constraints, versus the 8.9% gain originally reported.

The potential gains to GDP from urbanization are significantly larger than previously estimated by Hsieh and Moretti. An error in their paper understated the impact of housing constraints on spatial misallocation, leading to a miscalculation of GDP growth. The corrected estimate suggests that GDP could be 36% higher over 45 years, rather than the initially reported 8.9%. This substantial revision highlights the critical role of accurate data interpretation in economic modeling and underscores the importance of addressing housing regulations to unlock urbanization's full economic potential. The oversight was attributed to a focus on advanced mathematics, which led to elementary errors being overlooked, emphasizing the need for thorough review processes in economic research.

Takeaways by Macro Roundup® AI

  1. A corrected version of Hsieh and Moretti's estimate implies GDP could be 36% higher over 45 years absent housing constraints, versus the 8.9% gain originally reported.
  2. An error in Hsieh and Moretti's paper understated how much housing constraints contribute to spatial misallocation, making their GDP growth calculation too low.
  3. The oversight in the Hsieh-Moretti paper is attributed to a focus on advanced mathematics that allowed elementary errors to go unnoticed.

Just an FYI, Bryan Caplan found an error in Moretti’Housing Constraints and Spatial Misallocationwhich was cited in chapter, the effect of pricing people out of cities was understated in paper, "...How then can these enormous changes in the annual growth rate, compounded over 45 years, lead to relatively modest changes in total GDP? Answer: They can’t!The correct estimate to derive from Table 4 is that GDP will be 1.0149^45/1.00795^45=+36% higher, not +8.9%...."

This doesn’t impact the use of the paper in chapter, will attached it the entry as a note as an FYI, “…authors and referees alike focused so intently on the advanced mathematics that they glossed over some elementary yet crucial errors. And this is roughly what Hsieh told me:The referees requested some changes to the text (not the tables, which look fine), but these were inconsistently implemented….”

Bryan Caplan, "Hsieh-Moretti on Housing Regulation: A Gracious Admission of Error,"The Library Of Economic And Liberty, April 4, 2021, https://www.econlib.org/a-correction-on-housing-regulation/

  • Housing
  • GDP
    • Growth

Friday, April 23, 2021

Theres a better way than Bidens unrealistic, expensive climate pledge

AI Summary. A US plan to cut an additional 1.5bn tonnes of greenhouse gases annually would reduce projected warming by 0.07°F by 2100 under the standard UN climate model, at a cost of about $1,500 per American each year. The author argues investing in green innovation to make clean energy cheaper than fossil fuels would do more.

Bjorn Lomborg New York Post
Date Posted:
April 23, 2021
Is Database:
Database

Biden’s climate plan will only reduce warming by 0.07°F by 2100, from 7.2°F to 7.13°F, according to the standard UN climate model.

Biden’s climate plan will only reduce warming by 0.07°F by 2100, from 7.2°F to 7.13°F, according to the standard UN...

Is green innovation a cheaper way to cut emissions than mandates?

Core argument: Biden's plan to cut an additional 1.5bn tonnes of greenhouse gases annually by 2030 would reduce warming by 0.07°F by 2100, from 7.2°F to 7.13°F, according to the standard UN climate model.

Biden's climate plan aims to cut an additional 1.5bn tonnes of greenhouse gases annually by 2030, doubling Obama's commitments. However, using the standard UN climate model, this would only reduce warming by 0.07°F by 2100, from 7.2°F to 7.13°F. The plan's $2tn cost over Biden's first term equates to $1,500 per American annually, yet surveys show most are unwilling to spend even $24. Achieving these cuts requires costly renewables and infrastructure changes, while 80% of the population still prefers non-electric cars. Meanwhile, China, India, and other developing nations focus on economic growth over carbon cuts, as they will account for three-quarters of emissions this century. Instead of expensive renewables, investing in green innovation to make future energy cheaper than fossil fuels could drive global change.

Takeaways by Macro Roundup® AI

  1. Biden's plan to cut an additional 1.5bn tonnes of greenhouse gases annually by 2030 would reduce warming by 0.07°F by 2100, from 7.2°F to 7.13°F, according to the standard UN climate model.
  2. The plan's $2tn cost over Biden's first term equates to $1,500 per American annually, while surveys show most Americans are unwilling to spend even $24, and 80% of the population still prefers non-electric cars.
  3. China, India, and other developing nations focus on economic growth over carbon cuts and are projected to account for three-quarters of emissions this century, so investing in green innovation to make future energy cheaper than fossil fuels could drive global change.

Biden’s climate change plans impact, “…If we use the standard UN climate model, it turns out that Biden’s new promises will reduce warming by the end of the century by a rather small 0.07°F — from say 7.2°F to 7.13°F….”

Bjorn Lomborg, "There’s a better way than Biden’s unrealistic, expensive climate pledge,"New York Post, April 22, 2021, https://nypost.com/2021/04/22/theres-a-better-way-than-bidens-unrealistic-expensive-climate-pledge/

There’s a better way than Biden’s unrealistic, expensive climate pledge

For the past 30 years, the global approach to climate policy has been making grand promises and later mostly failing to live up to them. At his World Leaders Climate Summit, President Biden promised to cut about twice as much carbon as what Obama promised, which was hailed as decisive and bold climate action.

This is equivalent to decreasing an additional 1.5 billion tonnes of greenhouse gas annually by 2030 beyond Obama’s commitments. But what would this achieve? Let us assume that Biden and future presidents manage to get emissions cut as promised by 2030. And let us assume miraculously that the many future presidents from 2030 to 2100 manage to continue that feat.

If we use the standard UN climate model, it turns out that Biden’s new promises will reduce warming by the end of the century by a rather small 0.07°F — from say 7.2°F to 7.13°F. Biden told us that his climate policy would make Americans more prosperous. That is implausible. If climate policies really were making us richer, everyone would scramble to shed fossil fuels and pile on the renewables. Instead, his own summit showed the need for arm-twisting even just to make a few of the participants promise expensive new policies.

Achieving the promised cuts in less than a decade will force utilities to buy a lot of new and often more expensive renewables. They will have to buy much more back-up for when the sun isn’t shining and the wind isn’t blowing. Studies show that by 2030, 80 percent of the population would still prefer non-electric cars, but politicians will force everyone to buy only electric. Weatherizing houses, as Biden has proposed to cut emissions, can cost many trillions.

The President’s own price sticker is $2 trillion on climate policy over his first term. This is equivalent to spending $1,500 per American every year on climate, while one survey shows that most Americans are unwilling to spend even $24. That is not politically viable long term.

However, the real story from the climate summit isn’t Biden’s 0.07°F reduction, but China, India and other developing nations’ unwillingness to promise new carbon cuts, because they are more focused on development and getting their populations out of poverty. These countries matter, because they will make up three-quarters of this century’s emissions, and they cannot spare trillions for climate policy.

In place of another gabfest, we need to get smarter on climate. It is not about the rich world spending trillions it doesn’t have on ineffective and premature renewables. Leaders should instead spend billions smarter on green innovation: if we can innovate future green energy to be cheaper than fossil fuels, everyone will switch. To Biden’s credit, this is one of his many climate promises, but it needs to be front and center of a successful climate agenda.

  • Politics
  • Science
    • Global Warming


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