Edward Conard

Top Ten New York Times Bestselling Author

  • “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 full-throated defense of economic dynamism.” - The Wall Street Journal
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “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
  • “…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
  • “…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 is full of substance, it is one of the must-read books of the year, and once I finish it I will be giving it a second read through right away.” - Tyler Cowen, Professor, George Mason University
  • “…a comprehensive explanation of the modern economy.” - Julian Robertson, Founder, Tiger Management
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
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Thursday, February 9, 2023

A New Wage Measure for Core Non-Housing Services

AI Summary. The Council of Economic Advisers constructed a wage measure for non-housing services, averaging hourly wages across 175 detailed nonfarm payroll sectors weighted by each sector's share of 2019 labor costs in services consumption excluding food, energy, and housing. Because the weights are fixed, the index is less sensitive to compositional shifts than unadjusted average wage measures.

Ernie Tedeschi Council of Economic Advisors
Date Posted:
February 9, 2023

.@ernietedeschi builds a new measure of average hourly earnings (AHE) gains in non-housing services (NHS) sectors. The measure suggests that wage growth is coming down rapidly, contributing to declining overall inflation.

Can a fixed-weight wage index better track non-housing services inflation?

Core argument: The Council of Economic Advisers constructed "NHS AHE," a weighted average of hourly wages across 175 detailed nonfarm payroll sectors from the monthly Establishment Survey, weighted by each sector's share of 2019 labor costs in final demand consumption of services excluding food, energy, and housing.

This blog post presents a wage measure that Council of Economic Advisors has constructed to be specific to NHS industries, called “NHS AHE.” To summarize, NHS AHE [non-housing services average hourly earnings] is a weighted average of the hourly wage in 175 detailed nonfarm payroll sectors from the monthly Establishment Survey, weighted by each sector’s share of 2019 labor costs in final demand consumption of services excluding food, energy, and housing. Because the weights are based on NHS labor costs, the index better reflects the dynamics of wages serving as inputs into NHS production than commonly-cited wage measures like AHE and ECI. And because the weights are fixed to 2019 levels, the index is less sensitive to compositional shifts than unadjusted average measures like AHE. Figure 2 plots the yearly percent change in the NHS wage series for production and nonsupervisory workers and NHS inflation.

Takeaways by Macro Roundup® AI

  1. The Council of Economic Advisers constructed "NHS AHE," a weighted average of hourly wages across 175 detailed nonfarm payroll sectors from the monthly Establishment Survey, weighted by each sector's share of 2019 labor costs in final demand consumption of services excluding food, energy, and housing.
  2. Because its weights derive from non-housing services labor costs, NHS AHE reflects the dynamics of wages serving as inputs into non-housing services production better than commonly cited measures such as average hourly earnings and the Employment Cost Index.
  3. Fixing the NHS AHE weights at 2019 levels makes the index less sensitive to compositional shifts than unadjusted average measures such as average hourly earnings.
  • Wages/Income
  • GDP
    • Inflation
  • Workforce

New White House Wage Data Show Slowing Pressure on ‘Supercore’ Inflation

AI Summary. White House Council of Economic Advisers economists constructed a wage series covering only the wages that feed into "supercore" prices — core services excluding housing — and calculate that 12-month wage growth for nonmanagement workers in those industries slowed from 8% to 5.2%. That decline is steeper than the drop for all private-sector workers, from 5.9% to 4.4%.

Greg Ip Wall Street Journal
Date Posted:
February 9, 2023

.@greg_ip reports on @ernietedeschi new wage tracking measure which finds “supercore” wage growth has declined from 9.7%, annualized in the three months ended October 2021 to 4% in January 2023.

Is wage growth slowing faster in the industries that drive services inflation?

Core argument: The Council of Economic Advisers calculates that "supercore" wage growth for nonmanagement workers slowed from 8% on a 12-month basis last March to 5.2% in January, using a wage series built to track only wages feeding into supercore prices.

CEA economists constructed a wage series tracking only wages that go into “supercore” prices. By this measure, supercore wage growth for nonmanagement workers has ebbed significantly in the past year, from 8% on a 12-month basis last March to 5.2% in January, the CEA calculates. That is much steeper than the drop in wage growth for all private-sector workers from 5.9% to 4.4%, in the same period, and for nonmanagement workers, from 7% to 5.1%. The drop is even sharper looking at shorter periods. According to the CEA’s measure, such wages were growing at 9.7%, annualized, in the three months ended October 2021. By January, growth had slowed to 4%, below that for all private-sector workers, at 4.6%, and private production workers, at 4.4%, in the same period.

Takeaways by Macro Roundup® AI

  1. The Council of Economic Advisers calculates that "supercore" wage growth for nonmanagement workers slowed from 8% on a 12-month basis last March to 5.2% in January, using a wage series built to track only wages feeding into supercore prices.
  2. That decline was steeper than the drop in 12-month wage growth for all private-sector workers, from 5.9% to 4.4%, and for nonmanagement workers, from 7% to 5.1%, over the same period.
  3. On a three-month annualized basis, the CEA's supercore wage measure slowed from 9.7% in the three months ended October 2021 to 4% by January, below the 4.6% for all private-sector workers and 4.4% for private production workers.
  • Wages/Income
  • GDP
    • Inflation
  • Workforce

Comeback in Factory Jobs Appears to Be for Real

AI Summary. US manufacturing employment has surpassed the peak set during the previous business cycle for the first time since the late 1970s, reaching just under 13m workers, the most since 2008. The large manufacturing productivity gains of the 1990s and 2000s appear to have given way to output growth requiring more hiring.

Justin Fox Bloomberg
Date Posted:
February 9, 2023
Is Database:
Database

The 13M Americans working in the manufacturing sector in January surpassed the peak set during the previous business cycle in February of 2020, a first since the 1970s. This growth has been accompanied by a decline in real output per hour worked. @foxjust

Is the recovery in US manufacturing jobs durable?

Core argument: US manufacturing employment surpassed its prior business-cycle peak in May 2022, the first time this has happened since the late 1970s, according to revised 2022 payroll data from the US Bureau of Labor Statistics.

For the first time since the late 1970s, US employment in manufacturing has surpassed the peak set during the previous business cycle. This happened in May 2022, according to the revised 2022 payroll jobs data released last week by the US Bureau of Labor Statistics. As of January 2023, the sector employed just short of 13 million Americans on a seasonally adjusted basis, the biggest number since November 2008. The huge manufacturing productivity gains of the 1990s and 2000s appear to have given way to a situation where producing more stuff actually requires hiring more workers.

Takeaways by Macro Roundup® AI

  1. US manufacturing employment surpassed its prior business-cycle peak in May 2022, the first time this has happened since the late 1970s, according to revised 2022 payroll data from the US Bureau of Labor Statistics.
  2. US manufacturing employed just short of 13 million Americans on a seasonally adjusted basis as of January 2023, the largest number since November 2008.
  3. The large manufacturing productivity gains of the 1990s and 2000s appear to have given way to a situation in which producing more output requires hiring more workers.
  • Manufacturing vs Services
  • Productivity
    • Workforce Reorganization

Spread of Bird Flu Worsens, Hitting Egg-Laying Hens Especially Hard

AI Summary. The World Organization for Animal Health reported just over 100m poultry died or were culled from avian influenza over a four-month stretch, more than triple the total in the same period a season earlier. Signs of the virus adapting to other animal species, including minks in Spain, have raised questions about spread to humans.

Megan Durisin and Lisa Pham Bloomberg
Date Posted:
February 9, 2023

Between October ‘22 and February ‘23 over 100M chickens have died or been culled, more than 3X the rate in the previous season. The virus has spread to minks, sparking questions about potential transmission to humans. @bloomberg

Is bird flu killing far more poultry than last season?

Core argument: Just over 100 million poultry died or were culled due to avian influenza between the start of October and Feb. 3, according to the World Organization for Animal Health.

Just over 100 million poultry died or were culled due to avian influenza between the start of October and Feb. 3, according to the World Organization for Animal Health. That’s more than triple the number in the same period in the previous season, which ended with record losses from the disease. There have also recently been signs of the virus adapting to different animal species, including minks in Spain — sparking questions of whether the outbreak could spread to humans.

Takeaways by Macro Roundup® AI

  1. Just over 100 million poultry died or were culled due to avian influenza between the start of October and Feb. 3, according to the World Organization for Animal Health.
  2. That toll is more than triple the losses in the same period of the previous season, which ended with record losses from the disease.
  3. The virus has shown signs of adapting to different animal species, including minks in Spain, raising questions of whether the outbreak could spread to humans.
  • Science

For Valentine’s Day, 5 Facts About Single Americans

AI Summary. The share of single Americans who say they are looking for a committed relationship and/or casual dates fell to 42% from 49%, according to survey data. The decline was driven by single men, down 11 percentage points to 50%, with no significant change among single women at 35%.

Risa Gelles Watnick Pew Research Center
Date Posted:
February 9, 2023
Is Database:
Database

The share of single men who are looking for a relationship and/or casual dates has declined from 61% in 2019 to 50% in 2022. 32% of American men and 28% of women were single in 2022. @pewresearch

Are fewer single Americans looking for relationships, especially men?

Core argument: Some 42% of single Americans say they are looking for a committed romantic relationship and/or casual dates, down from 49% in 2019, though similar to the share in Pew Research Center's February 2022 survey.

The percentage of single Americans who are looking for a relationship or casual dates is lower than in 2019, especially among men. Some 42% of single Americans say they’re looking for a committed romantic relationship and/or casual dates, down from 49% in 2019 (but similar to the proportion found in the Center’s February 2022 survey). This drop is largely driven by single men, who are now 11 percentage points less likely than in 2019 to say they are looking for a committed relationship and/or casual dates (50% in July 2022, down from 61% in 2019). During the same time frame, there has been no significant change in the share of single women who are looking for a relationship or casual dates: 35% said this in 2022, compared with 38% in 2019.

Takeaways by Macro Roundup® AI

  1. Some 42% of single Americans say they are looking for a committed romantic relationship and/or casual dates, down from 49% in 2019, though similar to the share in Pew Research Center's February 2022 survey.
  2. Single men largely drove the decline, with 50% saying in July 2022 that they were looking for a committed relationship and/or casual dates, down 11 percentage points from 61% in 2019.
  3. Among single women, 35% said in 2022 that they were looking for a relationship or casual dates, compared with 38% in 2019, not a significant change.
  • Family/Marriage
  • Workforce

Boomerang Children and Parental Retirement Outcomes

AI Summary. Adult children moving back in with parents is associated with negative shocks to the child's marriage, income, and employment, though most such shocks and moves are temporary. The authors find no clear association with parental health, wealth, or hours worked, but do find a higher self-reported probability of working full-time after age 65.

Grant Seiter, Mary Lopez and Sita Slavov National Bureau of Economic Research
Date Posted:
February 9, 2023
Is Database:
Database

A new @NBERpubs study finds that in 2020 ~ 1/3 of children between the ages of 18-34 lived with their parents, but found no clear evidence that this impacts parents’ current or future labor market choices, or their wealth, health, or life satisfaction.

How do adult children moving back home affect parents' retirement plans?

Core argument: Roughly one-third of U.S. adults aged 18–34 lived with their parents in 2020, with men and 18–24 year-olds more likely to co-reside than women and 25–34 year-olds.

The share of U.S. adult children living with their parents has increased since the 1960s. Figure 1 shows that in 2020, approximately one-third of children between ages 18 and 34 lived with their parents, with men and 18-24 year-olds, respectively, more likely to co-reside than women and 25-34 year-olds. We examine the relationship between adult children returning home and parental retirement outcomes using data from the Health and Retirement Study (HRS), a nationally representative panel of individuals over the age of 50 and their spouses; the HRS also tracks children of respondents. Our child-level analysis suggests that a boomerang event is likely associated with negative shocks to a child’s marriage, income, and employment. The event study analysis suggests that many of these shocks are temporary, and correspondingly most boomerang events are transitory. At the parent level, we find no clear, statistically significant association between boomerang children and parental health, wealth, probability of working, hours worked, or well-being. However, we do find an increase in the self-reported probability of working full-time after age 65. That increase is concentrated among men, those under the age of 62, and those in the top half of the initial wealth distribution. Overall, our results provide evidence that parents may delay their anticipated retirement when children return home.

Takeaways by Macro Roundup® AI

  1. Roughly one-third of U.S. adults aged 18–34 lived with their parents in 2020, with men and 18–24 year-olds more likely to co-reside than women and 25–34 year-olds.
  2. Using the Health and Retirement Study, a nationally representative panel of individuals over 50, the authors find no clear, statistically significant association between boomerang children and parental health, wealth, probability of working, hours worked, or well-being.
  3. The authors find an increase in parents' self-reported probability of working full-time after age 65, concentrated among men, those under 62, and those in the top half of the initial wealth distribution.
  • Unemployment/Participation
  • Workforce

3 Unsexy Reasons Warnock Beat Walker In The Georgia Runoff

AI Summary. In Georgia's Senate runoff, Warnock's campaign spent $126.2m to Walker's $48.5m, nearly a 3-to-1 advantage, and the Democratic group America Votes knocked on 4m doors versus 400,000 targeted by Walker's supporters. Democrats also used paid relational organizing, ballot collection, and litigation to expand voting opportunities.

Victoria Marshall The Federalist
Date Posted:
February 9, 2023
Is Database:
Database

Warnock outspent Walker nearly 3 to 1, with $126.2m in expenditures compared to Walker’s $48.5m. Warnock also knocked on 4mm doors, outpacing Walker’s 400,000.

Warnock outspent Walker nearly 3 to 1, with $126.2m in expenditures compared to Walker’s $48.5m. Warnock also knocked...

How did spending and ground game advantages decide a Senate runoff?

Core argument: Raphael Warnock's campaign spent $126.2m in the Georgia runoff against Herschel Walker's $48.5m, a financial advantage of nearly 3 to 1.

In the Georgia runoff, Warnock's campaign outspent Walker nearly 3 to 1, with expenditures of $126.2m compared to Walker's $48.5m, highlighting a significant financial advantage. This disparity was mirrored in ground game efforts, where America Votes, a Democratic group, knocked on 4m doors, vastly outpacing the 400,000 doors targeted by Walker's supporters. Such strategic spending and voter outreach efforts underscore the importance of robust financial backing and effective voter engagement in modern elections. The Democrats' focus on ballot harvesting and relational organizing, where individuals were paid to encourage friends and family to vote, further exemplifies the shift towards data-driven, targeted campaign strategies. These tactics, combined with litigation efforts to expand voting opportunities, illustrate a comprehensive approach that prioritizes securing ballots over traditional Election Day turnout, ultimately contributing to Warnock's victory.

Takeaways by Macro Roundup® AI

  1. Raphael Warnock's campaign spent $126.2m in the Georgia runoff against Herschel Walker's $48.5m, a financial advantage of nearly 3 to 1.
  2. America Votes, a Democratic group, knocked on 4m doors in Georgia, against the 400,000 doors targeted by Walker's supporters.
  3. Democrats combined ballot harvesting, relational organizing that paid individuals to encourage friends and family to vote, and litigation to expand voting opportunities, prioritizing securing ballots over Election Day turnout.

"...Walker was outspent by Warnock nearly 3 to 1 (Warnock spent $126,232,942 to Walker’s $48,455,356)...Simply put: Walker was outspent, out-fundraised, and had very little help as opposed to Warnock and his campaign/party machine....America Votes, a left-wing get-out-the-vote group, knocked on 4 million doors leading up to the Georgia runoff (in contrast, the Walker-backing Faith and Freedom Coalition aimed to knock on just 400,000 doors) and made more than 1 million phone calls encouraging likely Democrat voters to cast ballots...."

Victoria Marshall, "3 Unsexy Reasons Warnock Beat Walker In The Georgia Runoff,"The Federalist, December 7, 2022, https://thefederalist.com/2022/12/07/3-unsexy-reasons-warnock-beat-walker-in-the-georgia-runoff/

3 Unsexy Reasons Warnock Beat Walker In The Georgia Runoff

The Georgia runoff is over. Raphael Warnock came out on top (as expected). And Republicans are once again running the “quality candidate” canard as the reason for Herschel Walker’s loss (in addition to the overblown, overused, Trump scapegoat). Yet despite the fact Walker was outspent by Warnock nearly 3 to 1 (Warnock spent $126,232,942 to Walker’s $48,455,356), Walker performed remarkably well, netting 48.6 percent of the vote to Warnock’s 51.4 percent.

This as Georgia Gov. Brian Kemp only came out in full force for Walker after he coasted to reelection in November (loaning his field organizing team to the Senate Leadership Fund — the GOP’s Senate super PAC which backed Walker). This translated to just a $2 million ground operation on Walker’s behalf.

Simply put: Walker was outspent, out-fundraised, and had very little help as opposed to Warnock and his campaign/party machine. While GOP establishment types might try to convince you that it was the Trump effect or Walker’s poor candidacy, this is nothing but willful ignorance. Winning elections after the 2020 election rule changes is all about the strength of a candidate’s ground game. Without that, there is no chance of ever succeeding to federal office. Here’s how the Warnock campaign did it.

1. Ballot Harvesting

Ballot harvesting, or the practice of going door-to-door soliciting mail-in ballots from voters, is an art form Democrats have perfected since unsupervised mail-in balloting (and a month of early voting) became legal in the wake of the Covid-19 lockdowns. Democrats in key battleground states know that collecting ballots is more important than collecting votes (i.e., generating Election Day turnout), and so they calculate how many ballots they need to secure a victory, and aim singlehandedly at that.

There are several Georgia-based leftist nonprofits that engage in ballot harvesting and curing. America Votes, a left-wing get-out-the-vote group, knocked on 4 million doors leading up to the Georgia runoff (in contrast, the Walker-backing Faith and Freedom Coalition aimed to knock on just 400,000 doors) and made more than 1 million phone calls encouraging likely Democrat voters to cast ballots. Other Democrat groups such as Stacey Abrams’ Fair Fight and the New Georgia Project have engaged thousands of volunteers to push their GOTV efforts, including registering largely non-white Georgian residents to vote. VoteBuilder, a voter registration database run by the Democratic National Committee and each respective state’s Democratic Party, gives such activists the information necessary to group and target Democratic voters and contact them about filling out and sending in their mail-in ballot.

2. Smart Spending

Georgia Democrats were very strategic about how they spent their money leading up to the runoff. While the GOP was largely focused on the old model of generating Election Day turnout through campaign mailers and TV ads (thanks to greedy GOP consultants), Democrats spent their dollars on initiatives that guaranteed them votes. Case in point: the Democratic firm Relentless paid 1,455 Georgians to contact more than 58,000 friends and family urging them to vote for Warnock. As Axios reported, Relentless paid each participant $200 to contact between 40-50 family members and friends, encouraging them to vote for Warnock. This isn’t the firm’s first rodeo, however. During the 2021 Senate runoff, the firm used the same tactic and boosted target voter turnout by 3.8 percent. Warnock’s own campaign also paid individuals $500 in a similar scheme. So did the Progressive Turnout Project (although this type of “relational organizing” was not limited to just Georgia). Research shows that voters are more likely to respond to appeals to vote from people they know.

3. Litigating Election Law

Democrats ride election litigation like a jockey riding a horse. Democrat mega-lawyer Marc Elias, the Georgia Democratic Party, and the Warnock campaign filed a lawsuit back in November against the Peach State to prevent it from banning early voting on the Saturday after Thanksgiving — despite a state law explicitly prohibiting it. While there was still plenty of time available for early voting without that Saturday, Georgia Democrats argued the law would result in voter suppression (a.k.a., give them less time to harvest ballots). A Georgia appeals court bought their argument. The Georgia lawsuit is just one example of multiple efforts by Democrats nationwide to manipulate election law in their favor or sue until they get what they want.

What This Means

Despite what corporate media pundits tell you, Georgia is not a swing state. Republicans overwhelmingly swept all other down-ballot races this past election cycle. Nationally, Democrats were focused on control of the Senate, and accordingly focused their strategy and efforts on keeping their Georgia Senate seat. They did this by pulling out their most effective ground game tactics such as harvesting (and curing) ballots, spending millions of dollars in various get-out-the-vote efforts, and going to court to expand and cement their radical post-2020 election law changes. And it paid off. If Republicans can’t stop their tactics, then the GOP would do well to mirror them.

  • Politics

The IQ gap between Harvard undergrads Harvard Law students

AI Summary. Groups selected on a specific admission test tend to score lower on other intelligence measures, since selection favors those who overperform on that test; one study of Harvard undergraduates found a mean IQ of 130 on an alternative assessment versus about 145 on admission tests.

Pumpkin Person Pumpkin Person
Date Posted:
February 9, 2023
Is Database:
Database

Elite students overperform on admission tests due to selection for “good luck.” Harvard undergrads have a mean IQ of 130, adjusted for test obsolescence & sample bias, vs 145 on the SAT.

Does selecting on one test overstate a group's measured intelligence?

Core argument: Harvard undergraduates score an IQ of 145 on the SAT used to select them, while a study using the WAIS-R found a mean IQ of 130 after adjusting for test obsolescence and sample bias.

Despite Harvard undergrads and Harvard Law students both achieving an IQ of 145 on their respective admission tests (SAT and LSAT), their actual IQs are likely lower when assessed with a different measure. A study using the WAIS-R test found Harvard undergrads had a mean IQ of 130, adjusted for test obsolescence and sample bias. This discrepancy highlights the phenomenon where elite students overperform on admission tests due to selection for "good luck." For Harvard Law students, lacking direct WAIS data, an estimated regression to the professional mean suggests an IQ of 136. This underscores the importance of not measuring a group's IQ by the test used for their selection, as it may not reflect their true cognitive abilities.

Takeaways by Macro Roundup® AI

  1. Harvard undergraduates score an IQ of 145 on the SAT used to select them, while a study using the WAIS-R found a mean IQ of 130 after adjusting for test obsolescence and sample bias.
  2. Harvard Law students also register an IQ of 145 on the LSAT, and, absent direct WAIS data, an estimated regression to the professional mean puts their IQ at about 136.
  3. Elite students overperform on the admission tests that select them because selection favors "good luck," so a group's IQ should not be measured by the test used for its selection.

Pumpkin Person, "The IQ gap between Harvard undergrads & Harvard Law students,"Pumpkin Person, November 13, 2022, https://pumpkinperson.com/2022/11/13/the-iq-gap-between-harvard-undergrads-harvard-law-students/

The IQ gap between Harvard undergrads & Harvard Law students

Circa 2013, Jonathan Wai reported that Harvard undergrads had a mean SAT of 1490 which at the time equated to an IQ of 145. Meanwhile Wai reported that Harvard Law students had a mean LSAT score of 173.5 which also equates to an IQ of 145.

However by definition, elite students over perform on the very test used to recruit them, because one of the things they’re recruited for is “good luck” on the admission test. Thus it’s interesting to ask how Harvard students perform on a random test (not used in the selection process)

As I’ve noted many times the best data on the subject was obtained by Harvard scholar Shelley H Carson and her colleagues who had an abbreviated version of the WAIS-R given to 86 “Harvard undergraduates (33 men, 53 women), with a mean age of 20.7 years (SD 3.3)… All were recruited from sign-up sheets posted on campus. Participants were paid an hourly rate…The mean IQ of the sample was 128.1 points (SD 10.3), with a range of 97 to 148 points.”

Note: The actual scores were 99 to 150 but Carson reduced them by 2 points because it’s known in the literature that the abbreviated version yields IQs 2 points lower than the full-scale IQ. However she can’t just assume measurement error favours the full-scale, so I am going to return these 2 points and say the full-scale IQ was 130.1.

It should be noted however that the WAIS-R was published in 1981, and that the norms were collected from 1976 to 1980. Carson’s study was published in 2003, so presumably the test norms were 25 years old.

James Flynn cites data showing that from WAIS-R norms (circa 1978) to WAIS-IV norms (circa 2006) the vocabulary and spatial construction subtest (used in the abbreviated WAIS-R) increased by 0.53 SD and 0.33 SD respectively. These gains would result in the composite score of the abbreviated WAIS-R becoming obsolete at a rate of 0.26 IQ points per year, meaning the Harvard students’ scores circa 2003 were 6.5 points too high. This reduces the mean IQ of the sample to 122.6 (U.S. norms).

Also recall that this was an abbreviated version of the WAIS-R and thus only correlates about 0.9 with the full version. Dividing the number of IQ points above 100 by 0.9 raises their IQ from 122.6 to 125, a good estimate of how they would have scored on the full test.

It should also noted that this was a psychology study, and thus a disproportionate number of psych students likely took part. Realistically, us psych majors are not as bright (on average) as harcore STEM majors. Add to this the fact that the abbreviated WAIS only had a ceiling of 150, likely preventing some participants from showing their full potential. Given these two facts it seems reasonable to round up the mean score to 130.

Still, 130 is only 66% as extreme as their 145 IQs derived from the SAT. But as Jensen noted, except when content and format is very similar, different IQ tests only correlate 0.66 with one another so this is the expected result. One might ask why I’m regressing to the U.S. mean and not the mean of SAT takers. The answer is that virtually 100% of gifted American teens have taken the SAT, so regressing them to the SAT population would be redundant.

How would Harvard Law students scores on the WAIS?

To my knowledge there have been no studies of Harvard Law students taking any version of the WAIS, but if there were, I’d expect them to also regress to the mean. However unlike the SAT, we can’t assume that virtually all smart young American adults have taken the LSAT and thus we can’t regress them to the U.S. mean. We can however assume that virtually all Harvard Law students become get their degree, and the average IQ of Americans with professional degrees is about 125 so instead of regressing to the U.S. mean of 100, they’d regress to the professional mean of 125.

But given that correlations are lower in a restricted sample like professionals (say 0.56 instead of 0.66) we’d expect their WAIS IQs to be:

145 - 125 = 20(.55) + 125 = 136.

Conclusion

Even though Harvard undergrads and Harvard Law students both score IQ 145 on their respective admission tests, their actual IQs are likely 130 and 136 respectively. This is not to say that the WAIS is necessarily more accurate than the SAT or LSAT; rather it’s to say that the IQ of a group should never be measured by the very test that selected them, because by definition, they likely overperformed on that.

Brandon Adams Comment: “That is an interesting piece. I think it has a few problems though. 1. Based on the piece you just sent (about the Flynn Effect operating disproportionately on the middle and left of the distribution), this adjustment is incorrect. It should be noted however that the WAIS-R was published in 1981, and that the norms were collected from 1976 to 1980. Carson’s study was published in 2003, so presumably the test norms were 25 years old. James Flynn cites data showing that from WAIS-R norms (circa 1978) to WAIS-IV norms (circa 2006) the vocabulary and spatial construction subtest (used in the abbreviated WAIS-R) increased by 0.53 SD and 0.33 SD respectively. These gains would result in the composite score of the abbreviated WAIS-R becoming obsolete at a rate of 0.26 IQ points per year, meaning the Harvard students’ scores circa 2003 were 6.5 points too high. This reduces the mean IQ of the sample to 122.6 (U.S. norms).This adjustment would only be sensible if the distribution shifted but maintained constant shape. That is not what happened. 2. Test Sample: 86 Harvard undergraduates (33 men, 53 women). "It should also be noted that this was a psychology study, and thus a disproportionate number of psych students likely took part. Realistically, us psych majors are not as bright (on average) as harcore STEM majors. Add to this the fact that the abbreviated WAIS only had a ceiling of 150, likely preventing some participants from showing their full potential. Given these two facts it seems reasonable to round up the mean score to 130." I don't know which factor is more problematic, the unrepresentative sample, or the fact that the test caps at 150. 3. The effect of chance on scores would be highly dependent on the details. We would expect the chance factor to be high if every student in the country took the SAT exactly once and then reported this score on their college applications. But there are three sources of complexity that can be introduced: 1) Does the student take the test more than once?, 2) Does the college have a method for adjusting the scores for students who take the test more than once when making admission decisions?, and 3) In the reporting of SAT scores to US News and World Report (or whatever database is used), are they reporting only the best score of admitted students who took the test more than once (or, worse, the best score on each section)? Likely what's happening is that Complexity 3) is the big problem, and therefore the bias effect is real. It's likely the case that if students are taking the test multiple times, but then only their best scores are recorded in the database, then that would result in an even larger bias than a world in which every student took the test exactly once.As a side note, I believe that if a psychometrician were trying to assess the IQ of people that were known ex ante to be highly intelligent, they would use a test where the scores are centered around a relatively high IQ (a test with very hard questions throughout). Attached is an interesting paper from the behavioral finance literature. The authors add one field to a database of hedge fund returns; the field consists of the average SAT score at the manager's undergrad institution. They find that this variable has strong explanatory power for returns. A 200 point SAT difference would equate to.73% higher returns per year, in their sample."”

Ed Conard Comment: “There is likely selection bias, especially of the kind Brandon describes. But there is definitely bias of the kind described by the study. People who luck out and score highly tend to end up at schools that accept high scorers. Again, there is a more comprehensive study of this in the DB.I don’t have a lot of experience with the STEM majors at top schools. My impression of the top student who end up at places like Bain is that they don’t average anything close to 145. Probably 130ish. My experience is that 145 makes you the smartest guy in a room at places like Bain Cap with the smartest business oriented people. …and that 150+ is need to be competitive with the top college professors but not the smartest guy in the room. Summers is probably 155. Again, I would say that to succeed in business you need a lot more than smarts. That’s why student with IQ lower than competitive professor choose business and not academics and vice versa. And perhaps more importantly, software is more important/powerful than hardware. I believe people have horrible s/w."”

Mark Hill Comment: “I have a further issue practical issue: when you recruit Harvard students to take an IQ test via signup sheet and offer an hourly rate, do you expect a representative sample or some significant selection bias?"”

Brandon Adams Comment: “Harvard is a terrible setting to illustrate this general phenomena. This is the starting point of the article: "Jonathan Wai reported that Harvard undergrads had a mean SAT of 1490 which at the time equated to an IQ of 145." That is not a statistically sound approach to the problem. I believe he's saying that "an SAT score of 1490 equates to an IQ of 145," which is not the same thing as saying that "a population whose mean SAT is 1490 equates to a population mean IQ of 145." To be statistically sound, you would need to translate all of the students' individual SAT scores into individual IQ scores, and then take a mean. When doing so, you would need to answer the question, "Conditional on a student getting a 1600, what is their expected IQ?" 20-25% of the sample might fit this profile. A 1490 avg for the institution as a whole likely implies a mean IQ much higher than 145 (though that doesn't mean much bc 1490 is biased to the high side for reasons we have mentioned)."”

Ed Conard Comment: “My strong suspicion is that 1) high-scorers tend to take the test multiple times. That’s an important way to get a high score. (BTW, I took it once and got high the night before.) 2) Colleges don’t adjust. 2a) Often you don’t have to report that you took the test except the one you submit. And 2b) colleges largely accept students so that they can report high scores. The new test optional option allows schools to accept low-scorers without having to report their scores. That’s the case because the schools don’t care about admitting the smartest students. They care about reporting high scores. …and funding their endowments so they can raise their own pay. 3) see 2; the schools are only reporting the highest scores. Columbia had so many tricks for falsely trumping up their scores that they were called out and lost their ranking. The most prestigious colleges (e.g., Harvard Law) are now refusing to participate in the US News rankings because they want to admit low-scorers and not have their scores and post graduate performance monitored.”

Ed Conard Comment: “It’s valuable to have you critique the statistical methods. So I don’t want to discourage it. Bad analysis leads to bad conclusions. That said, there is information in all data and analysis. The author probably couldn’t get the individual scores. So he is doing want he can with the data he has to indicate what he is trying to learn. Notwithstanding your point about top-coding, my guess is that the mean of the sat scores converted to IQ is very close to the scores covered to IQ and then averaged. That seems small not large in this case. Top-coding should make the IQ of the pool as measured by their admission test higher than 145. 128 is a long way from 145 (plus). Surely that large difference means something significant. We should not pooh-pooh what we can learn from this just because the analysis is less than perfect. I agree that a large share of the difference might be the difference between those who took the second test - psych students who may be lower than the Harvard average. But my guess is that those students also had very high SAT score on average and lots of 1600s too. Although, the psych majors may skew towards the ones who discovered they were lucky scorers. Nevertheless, my experience with the top business-oriented grads from the top schools is that their IQs feel closer to 128 to me than 145. They are not lowly psych majors. Most were econ majors with top grade points who excelled in quantitative classes, albeit not classes that included the top math and science majors. Although many were science majors. (Mark, aren’t you a John Harvard scholar in biology/science? Baines are much higher than the average student at the top school in my experience. 145 stands out among smart people as a recognizable difference. Not many people stand out IQ-wise at places like Bain Capital where the average is probably higher than 128, but probably not 135 despite their high scores and GPA is quant-oriented majors. Most people who stand out are top college professors. They are often famous. Again, I think s/w makes a bigger difference than h/w. Worse, they seem inversely correlated at high levels.”

Though this point was interesting"...Circa 2013, Jonathan Wai reported that Harvard undergrads had a mean SAT of 1490 which at the time equated to an IQ of 145. Meanwhile Wai reported that Harvard Law students had a mean LSAT score of 173.5 which also equates to an IQ of 145. However by definition, elite students over perform on the very test used to recruit them, because one of the things they’re recruited for is “good luck” on the admission test. Thus it’s interesting to ask how Harvard students perform on a random test (not used in the selection process) As I’ve noted many times the best data on the subject was obtained by Harvard scholar Shelley H Carson and her colleagues who had an abbreviated version of the WAIS-R given to 86 “Harvard undergraduates (33 men, 53 women), with a mean age of 20.7 years (SD 3.3)… All were recruited from sign-up sheets posted on campus. Participants were paid an hourly rate…The mean IQ of the sample was 128.1 points (SD 10.3), with a range of 97 to 148 points.”..Even though Harvard undergrads and Harvard Law students both score IQ 145 on their respective admission tests, their actual IQs are likely 130 and 136 respectively. This is not to say that the WAIS is necessarily more accurate than the SAT or LSAT; rather it’s to say that the IQ of a group should never be measured by the very test that selected them, because by definition, they likely overperformed on that...."

  • Test Scores
  • Education
    • College
  • Workforce

Friday, February 10, 2023

U.S. Government Borrowing Costs Rise as Debt Ceiling Fuels Partisan Clash

AI Summary. U.S. Treasury spending on interest on the federal debt rose 41% to $198bn in the first four months of the fiscal year, from $140bn a year earlier, according to Congressional Budget Office estimates. The agency has projected net interest spending would roughly double as a share of GDP, from 1.6% to 3.3% over a decade.

Andrew Duehren Wall Street Journal
Date Posted:
February 10, 2023

Treasury’s spending on the interest on the debt is up 41% year-over-year (to $198 billion from $140 billion) for the first four months of the fiscal year. CBO will update their estimate of net interest on the debt as a percentage of U.S. GDP next week. @wsj

Are federal interest costs rising sharply as a share of the economy?

Core argument: Treasury spending on interest on the debt rose 41% to $198 billion in the first four months of this fiscal year from $140 billion a year earlier, according to a Congressional Budget Office estimate of spending through January.

The Treasury’s spending on interest on the debt is up 41% to $198 billion in the first four months of this fiscal year compared with $140 billion in the same period last year, according to a Congressional Budget Office estimate of spending through January. In projections last year, the CBO said that spending on net interest on the debt as a percentage of U.S. gross domestic product would roughly double from 1.6% in 2022 to 3.3% in 2032. Those estimates, which the nonpartisan agency will update next week, assumed that the Fed would raise the federal-funds rate to 1.9% by the end of 2022 and reach 2.6% by the end of 2023.

Takeaways by Macro Roundup® AI

  1. Treasury spending on interest on the debt rose 41% to $198 billion in the first four months of this fiscal year from $140 billion a year earlier, according to a Congressional Budget Office estimate of spending through January.
  2. The Congressional Budget Office projected last year that net interest on the debt would roughly double as a share of U.S. gross domestic product, from 1.6% in 2022 to 3.3% in 2032.
  3. Those Congressional Budget Office projections assumed the Federal Reserve would raise the federal-funds rate to 1.9% by the end of 2022 and 2.6% by the end of 2023.
  • Fiscal Deficits
  • Fiscal Policy

Putting America’s Debt in Its Place

AI Summary. US debt-servicing costs depend on long-term rates, with the 10-year government bond yield at 3.6% against a projected 2.4% inflation, implying a real rate of 1.2% — below the 1.7% projected growth rate. At a debt-to-GDP ratio of 100%, that allows deficits of 0.5% of GDP beyond interest payments without raising the debt ratio.

Barry Eichengreen Project Syndicate
Date Posted:
February 10, 2023

.@B_Eichengreen argues that projected debt levels are sustainable, noting that CBO’s real GDP growth rate of 1.7% over the next ten years exceeds their 1.2% real interest rate forecast (3.6% ten-year bond rate less 2.4% inflation forecast).

.@B_Eichengreen argues that projected debt levels are sustainable, noting that CBO’s real GDP growth rate of 1.7% over the...

Do real interest rates below growth allow deficits without rising debt ratios?

Core argument: The ten-year Treasury yield of 3.6% against the CBO's 2.4% inflation forecast implies a real interest rate of 1.2%, below the CBO's 1.7% forecast for ten-year real GDP growth.

Interest costs are not exploding. To be sure, inflation remains elevated, which pushes up short-term interest rates. But, because the US Treasury issues long-term bonds, debt-servicing costs depend on long-term rates, which have risen by less. Currently, the interest rate on ten-year government bonds is 3.6%, while the CBO’s inflation forecast for that horizon is 2.4%, so the real (inflation-adjusted) interest rate relevant for calculating the interest burden is still only 1.2%. What matters is the difference between the real interest rate and the growth rate of the economy. If the real interest rate is lower than the growth rate of inflation-adjusted GDP, then the debt ratio can fall even when the government runs budget deficits. The CBO’s forecast for growth over the next ten years is 1.7% – higher than the real interest rate. This is not a license to engage in unlimited spending. But it implies that, given a debt-to-GDP ratio of 100%, the federal government can run deficits of 0.5% of GDP (the difference between 1.7% and 1.2%) over and above its interest payments without causing the debt ratio to rise.

Takeaways by Macro Roundup® AI

  1. The ten-year Treasury yield of 3.6% against the CBO's 2.4% inflation forecast implies a real interest rate of 1.2%, below the CBO's 1.7% forecast for ten-year real GDP growth.
  2. Because the US Treasury issues long-term bonds, debt-servicing costs depend on long-term rates, which have risen by less than the short-term rates pushed up by elevated inflation.
  3. With a debt-to-GDP ratio of 100% and a 0.5-point gap between growth of 1.7% and the real interest rate of 1.2%, the federal government can run deficits of 0.5% of GDP over and above interest payments without raising the debt ratio.
  • Fiscal Deficits
  • Fiscal Policy

Is Google’s 20-Year Dominance of Search in Peril?

AI Summary. Alphabet's revenue has grown at an average annual rate of over 20% since 2011, generating more than $300bn in cash after operating expenses, but Microsoft is challenging that business by adding AI-generated summaries to its Bing search engine. Research firm eMarketer projects Google's share of US search advertising revenue will fall to 54%, down from 67% in 2016.

Economist Staff The Economist
Date Posted:
February 10, 2023

Since 2011 Google has generated $300B in cash, but their dominant position in search under threat as Microsoft announced plans to supplement Bing search results with an AI-generated side box summarizing pertinent information. @TheEconomist

Is AI-powered search threatening Google's dominance and advertising revenue share?

Core argument: Google's share of U.S. search advertising revenue will fall to 54% this year from 67% in 2016, according to eMarketer, a research firm.

The revenue of Google’s parent company, now called Alphabet, has grown at an average annual rate of over 20% since 2011. In that period, it has generated more than $300bn in cash after operating expenses. On February 7th Microsoft, which recently announced an investment of $10bn in OpenAI, showed off how it plans to go after those profits. Results from the software giant’s search engine, Bing, will now be accompanied by an ai-generated side box summarizing pertinent information. Alphabet this week unveiled its own chatbot, Bard, and has reportedly invested $300m in Anthropic, a generative-ai startup. On February 8th, while presenting some non-chatty ai search features, it confirmed that Bard will be integrated into search within weeks. Investors were unimpressed; Alphabet’s share price tumbled by 8% after the announcement. Google’s share of revenue from search advertising in America will fall to 54% this year, down from 67% in 2016, according to eMarketer, a research firm.

Takeaways by Macro Roundup® AI

  1. Google's share of U.S. search advertising revenue will fall to 54% this year from 67% in 2016, according to eMarketer, a research firm.
  2. Alphabet's revenue has grown at an average annual rate of over 20% since 2011, generating more than $300bn in cash after operating expenses over that period.
  3. Microsoft, which announced a $10bn investment in OpenAI, will accompany Bing search results with an AI-generated side box summarizing pertinent information, while Alphabet's share price tumbled 8% after it unveiled its chatbot, Bard.
  • Financial Markets
  • GDP

Marc Andreessen - AI, Crypto, 1000 Elon Musks, Regrets, Vulnerabilities, & Managerial Revolution

AI Summary. The modern economy has a global savings glut, creating a supply-demand imbalance between the vast amount of capital seeking returns and the limited number of viable investable projects and capable entrepreneurs to execute them.

Dwarkesh Patel The Lunar Society
Date Posted:
February 10, 2023

.@pmarca argues there’s a “massive supply-demand imbalance between the amount of capital that needs to generate a return and the actual number of viable investable projects and great entrepreneurs to actually create those projects.”

Does a global savings glut outstrip viable projects and entrepreneurs?

Core argument: Marc Andreessen argues the binding constraint on returns is a shortage of viable investable projects and great entrepreneurs, not capital, citing what Ben Bernanke called the global savings glut created by the last few hundred years of economic activity.

Andreessen: “The nature of the modern economy is we have what Ben Bernanke called the global savings glut. We've just got this massive oversupply of capital that was generated by the last few hundred years of economic activity, and there's only one Elon. There's just this massive supply-demand imbalance between the amount of capital that needs to generate a return and the actual number of viable investable projects and great entrepreneurs to actually create those projects We certainly don’t have enough flying car startups, we also don't have enough art startups. We need more of all of this. I don't think there's a trade-off, we need more of all of it.”

Takeaways by Macro Roundup® AI

  1. Marc Andreessen argues the binding constraint on returns is a shortage of viable investable projects and great entrepreneurs, not capital, citing what Ben Bernanke called the global savings glut created by the last few hundred years of economic activity.
  2. Andreessen frames the imbalance as "there's only one Elon," with a massive oversupply of capital needing to generate a return chasing too few great entrepreneurs able to create such projects.
  • Innovation/Research
  • GDP
    • Financial Markets
  • Productivity
    • Investment
    • Startups

China Pulls Back From Global Subsea Cable Project as US Tensions Mount

AI Summary. China Telecom and China Mobile withdrew their combined roughly 20% investment from the Sea-Me-We 6 subsea internet cable project, estimated to cost about $500mn to lay 19,200km of cable linking south-east Asia to western Europe, after a US company was chosen over China's largest provider to build the line.

Anna Gross and Alexandra Heal Financial Times
Date Posted:
February 10, 2023

China has withdrawn from a new cable project linking Asia to Europe after an American firm was selected to lay the Sea-Me-We 6 pipeline. @ft

China has withdrawn from a new cable project linking Asia to Europe after an American firm was selected to lay the Sea-Me-We...

Are Chinese telecom firms withdrawing from global subsea cable projects?

Core argument: Since 2020, the US has denied permission for several subsea telecoms cables that involved Chinese companies or directly connected the US to mainland China or Hong Kong, citing national security concerns.

China has cut its participation in an internet cable project to link Asia with Europe. Two of China’s biggest telecoms groups, China Telecom and China Mobile, withdrew their combined investment of roughly 20 per cent from the subsea cable project last year after a US company was selected to build the line over Hengtong Marine, the country’s biggest provider in the sector. Their exit from the Sea-Me-We 6 pipeline — which is estimated to cost around $500mn to lay 19,200km of cables connecting south-east Asia to western Europe. Since 2020, the US has denied permission for several subsea telecoms cables that involved Chinese companies or directly connected the US to mainland China or Hong Kong, citing national security concerns.

Takeaways by Macro Roundup® AI

  1. Since 2020, the US has denied permission for several subsea telecoms cables that involved Chinese companies or directly connected the US to mainland China or Hong Kong, citing national security concerns.
  • Security
  • China
  • Productivity
    • Investment

How Much Longer Can Vote Blue No Matter Who! Last?

AI Summary. The share of white Democrats identifying as liberal more than doubled from 29.8% to 68.5% over roughly four decades, a larger increase than among Black and Hispanic Democrats. The author argues this ideological divergence strains the Democratic coalition, as college-educated whites prioritize social issues over economic policies aimed at the working class.

Thomas Edsall New York Times
Date Posted:
February 10, 2023
Is Database:
Database

@ThomasEdsall The Democratic coalition faces instability as college-educated whites’ interests diverge from the working class, with 67% of the white working class voting for Trump in 2020, driven by racial group animus.

@ThomasEdsall The Democratic coalition faces instability as college-educated whites’ interests diverge from the...

Is a widening ideological gap straining the Democratic coalition?

Core argument: The share of white Democrats identifying as liberal more than doubled from 29.8% in 1984 to 68.5% in 2020, while Black and Hispanic Democrats saw smaller increases over the same period.

The Democratic coalition faces instability as college-educated whites' interests diverge from the working class. From 1984 to 2020, the % of white Democrats identifying as liberal more than doubled from 29.8% to 68.5%, while Black and Hispanic Democrats saw smaller increases. This shift highlights a growing divide within the party, as college-educated whites often prioritize social issues over economic policies that benefit the working class. In 2020, 67% of the white working class voted for Trump, reflecting a shift towards Republicans driven by racial group animus. The Democratic coalition's sustainability is challenged by these ideological differences, with college-educated whites focusing on social signaling rather than policies that address economic disparities. Despite these tensions, Democrats remain the majority party, having won the popular vote in most presidential elections since 1992, but the coalition's future depends on reconciling these divergent priorities.

Takeaways by Macro Roundup® AI

  1. The share of white Democrats identifying as liberal more than doubled from 29.8% in 1984 to 68.5% in 2020, while Black and Hispanic Democrats saw smaller increases over the same period.
  2. In 2020, 67% of the white working class voted for Donald Trump, a shift toward Republicans attributed to racial group animus.
  3. Democrats remain the majority party, having won the popular vote in most presidential elections since 1992, though the coalition's future depends on reconciling college-educated whites' focus on social issues with working-class economic priorities.

Ryan Enos“…College-educated whites, especially those with higher incomes, are not clear coalitional partners for anyone — they don’t favor economic policies, such as increasing housing supply or even higher taxes on the rich, that are beneficial to the working class, of any race. And many college-educated whites are motivated by social issues that are also not largely supported by the working class, of any race. It’s not clear that, with their current ideological positions, socially liberal and economically centrist or rightist college-educated whites are natural coalition partners with anybody but themselves. My sense is that much of the college-educated liberal political rhetoric is focused on social signaling to satisfy their own psychological needs and improve their social standing with other college-educated liberals, rather than policies that would actually reduce racial gaps in economic well-being, civil rights protections, and other quality of life issues….”

Thomas Edsall, "How Much Longer Can ‘Vote Blue No Matter Who!’ Last?,"New York Times, February 1, 2023, https://www.nytimes.com/2023/02/01/opinion/democratic-party-coalition.html

How Much Longer Can ‘Vote Blue No Matter Who!’ Last?

Over the past four decades, the percentage of white Democrats who identify themselves as liberal has more than doubled, growing at a much faster pace than Black or Hispanic Democrats.

In 1984, according to American National Election Studies data, 29.8 percent of white Democrats identified as liberal; by 2020, that percentage grew to 68.5 percent. Over the same period, the percentage of liberals among Black Democrats grew from 19.1 percent to 27.8 percent and among Hispanic Democrats from 18 percent to 41 percent.

This shift raises once again a question that people have been asking since the advent of Reagan Democrats in the 1980s: What does it mean for a party that was once the home of the white working class to become a coalition of relatively comfortable white liberals and less-well-off minority constituencies?

I posed this and other questions to a range of scholars and political strategists, including William Galston, a senior fellow at Brookings, who recently cited similar (though not identical) trends in Gallup data. In an essay last month, “The Polarization Paradox: Elected Officials and Voters Have Shifted in Opposite Directions,” Galston wrote: “In 1994, white, Black and Hispanic Democrats were equally likely to think of themselves as liberal. But during the next three decades, the share of white Democrats who identify as liberal rose by 37 points, from 26 percent to 63 percent, while Black and Hispanic Democrats rose by less than half as much, to 39 percent and 41 percent, respectively.”

Galston argued in an email that Black Democrats have assumed an unanticipated role in the party: “African Americans are now a moderating force within the party. It was no accident that they rallied around the most moderate candidate with a serious chance of winning the nomination in 2020, or that the leader of the pro-Biden forces took the lead in rejecting the “defund the police” slogan.”

The coalition of upper-middle-class liberals and minority voters, Galston wrote, “has been sustainable because the former believe in the active use of government to fight disadvantage of various kinds and are willing, within limits, to vote against their economic self-interest.”

Julie Wronski, a political scientist at the University of Mississippi, wrote back by email: “Underlying the liberal shift among white Democrats is their tendency to hold more liberal racial attitudes. In the Voter Study Group’s Racing Apart report, the percentage of white Democrats that hold the most liberal positions on the standard racial resentment measure has increased over the last decade to such a large extent that their racial resentment views match those of Black Democrats.”

The Democratic Party, Wronski continued, has become, “a coalition of racial minorities (especially Blacks) and whites who are sympathetic to the inequities and challenges faced by minority groups in America. Racial identities and attitudes are the common thread that link wealthier, more educated whites with poorer minority constituencies.”

The Democrats’ biracial working-class coalition during the mid-20th century, in Wronski’s view, “was successful because racial issues were off the table.” Once those issues moved front and center, the coalition split: “Simply put, the parties are divided in terms of which portion of the working class they support — the white working class or the poorer minority communities.” The level of educational attainment is the line of demarcation between the two groups of white voters.

By 2020, the white working class — defined by the Federal Reserve of St. Louis as “whites without four-year college degrees” — voted for Donald Trump over Joe Biden, 67 to 32 percent, according to network exit polls. In the 2022 election, white working-class voters backed Republican House candidates at almost the same level, 66 to 32 percent.

The shift of non-college white working-class support to the Republican candidates, Wronski wrote, “was driven by racial group animus. Trump was particularly able to attract members of the white working class on the basis of racial (and other) group sentiments — with those disliking minority groups being uniquely attracted to Trump, in a continuation of the division of the working class along racial lines.”

There are those who argue, however, that the contemporary Democratic coalition is more fragile than Wronski suggests. Ryan Enos, a political scientist at Harvard, emailed to say, “If you’re a Democrat, you might worry that the coalition is not stable.”

Over the long haul, Enos wrote: “College-educated whites, especially those with higher incomes, are not clear coalitional partners for anyone — they don’t favor economic policies, such as increasing housing supply or even higher taxes on the rich, that are beneficial to the working class, of any race. And many college-educated whites are motivated by social issues that are also not largely supported by the working class, of any race. It’s not clear that, with their current ideological positions, socially liberal and economically centrist or rightist college-educated whites are natural coalition partners with anybody but themselves.”

Enos went so far as to challenge the depth of elite support for a liberal agenda: “My sense is that much of the college-educated liberal political rhetoric is focused on social signaling to satisfy their own psychological needs and improve their social standing with other college-educated liberals, rather than policies that would actually reduce racial gaps in economic well-being, civil rights protections and other quality of life issues.”

Paul Begala, a Democratic strategist, is an explicit critic of the left wing of the party. “It is plain to me that the Democrats’ greatest challenge is the progressive left,” Begala wrote in an email: “Pew Research shows they are the most liberal, most educated and most white subgroup in the Democratic coalition. They constitute 12 percent of Democrats and those who lean Democrat — which means 88 percent of us are not on their ideological team.”

In contrast, Begala continued: “Black voters are both the most loyal Democrats and the most sensible, practical, strategic and moderate voters. This is why it was important, politically and even morally, for President Biden to move the African-American-rich South Carolina primary ahead of overwhelmingly white Iowa and New Hampshire.”

In the November 2021 study of the composition of the Democratic Party that Begala referred to, Pew Research reported: “The progressive left makes up a relatively small share of the party, 12 percent of Democrats and Democratic-leaning independents. However, this group is the most politically engaged segment of the coalition, extremely liberal in every policy domain and, notably, 68 percent white non-Hispanic. In contrast, the three other Democratic-oriented groups are no more than about half white non-Hispanic.”

This disproportionately white wing of the party, as I previously discussed, provided crucial support for Alexandria Ocasio-Cortez and Ayanna Pressley when they ran for Congress in 2018, putting them over the top in their first primary victories over powerful Democratic incumbents.

A variety of forces is straining the center-left coalition.

Bruce Cain, a political scientist at Stanford, replied by email to my inquiries: “Many white liberals live in enclaves of affluence, sheltered from the economic and personal insecurity of the low-income communities. They are more strongly motivated by identity issues around gender and race but are less concerned with poverty or economic insecurity issues than liberals in the sixties.”

As a result, in Cain’s view: “Parts of the Democratic coalition are talking past each other and sometimes clashing. In the case of climate change, white liberals want to accelerate the adoption of electric vehicles that most low-income nonwhites cannot afford. During Covid, affluent white liberals could work at home and have food delivered to them by nonwhite workers who left the food packages at their doorstep or who had to go to work and suffer higher rates of illness.”

When all said and done, “White liberals are still a better deal for nonwhites than the Republican Party,” Cain contended, “but it is revealing that the African Americans in South Carolina preferred Biden to Sanders or Warren.”

The liberalism of white Democrats cuts across a wide range of issues. Brian Schaffner, a political scientist at Tufts, cited data collected by the Cooperative Election Study: “In 2020 white Democrats scored similarly low on racial resentment as Black Democrats. And white Democrats actually have significantly lower levels of sexism than Black or Hispanic Democrats. In the 1980s and 1990s, the Democratic Party was indeed fairly divided on issues of race in particular, but that no longer seems to be the case.”

Now, Schaffner continued, “white Democrats appear to be the most liberal group in the party on a range of issues, including immigration, climate, crime/policing, abortion, health care, gun control and economic/social welfare.”

I asked James Stimson, a political scientist at the University of North Carolina-Chapel Hill, how the meaning of “liberal” changed over the past 40 years. He replied: “The term has become infused with racial content. That may be the key to the conversion of educated suburban voters into liberals and Democrats. Trump’s open racism must surely have added greatly to the new meaning of liberalism. Perhaps the L-word has become a way to say, “I am not a bigot.””

Along similar lines, Viviana Rivera-Burgos, a political scientist at Baruch College of the City University of New York, pointed out how much the liberal agenda has transformed in a relatively short time: “Issues like abortion, same-sex marriage and L.G.B.T.Q.+ rights and immigration have become important ideological cleavages in the past 40 years or so. Being a liberal today means you’re most likely pro-choice, pro-same-sex marriage, pro-expansion of L.G.B.T.Q.+ rights and anti-restrictive or punitive immigration laws. These issue positions couldn’t be inferred based on someone’s ideology alone 40 years ago.”

Lanae Erickson, a senior vice president at Third Way, a centrist Democratic group, argued in an email that there is a danger of overemphasizing the liberal tilt of the Democratic electorate: “Although the percentage of Democrats calling themselves liberal has grown over the past three decades, it still remains true that only about half of self-described party members identify that way — in contrast to Republican voters, about 80 percent of whom call themselves conservative. So Democrats have long had and continue to have a more ideologically diverse coalition to assemble, with nearly half of the party calling themselves moderate or conservative.”

Erickson did not hesitate, however, to describe the party’s educated left wing as, “overrepresented in the media, on Twitter and in positions of power. That group is loud and more culturally liberal, though they often purport to speak or act on behalf of communities of color. Meanwhile, the African American and Latino voters who deliver victories to Democratic candidates in nearly every race have remained much more ideologically mixed.”

“If we continue to let white liberals on Twitter define what it means to be a Democrat,” Erickson warned her fellow Democrats, “we are going to continue to alienate the voters of color who are essential majority makers in our coalition. While the Twitterati wants to ‘Defund the Police,’ communities of color want their neighborhoods to be safe — both from police violence AND violent crime.”

To build her case, Erickson cited that role of minority voters in the last New York City mayoral election: “They elected Eric Adams and rejected the far-left candidates whose voting blocs were made up primarily of white liberals,” noting that “Adams outpaced Maya Wiley by 23 points with Black voters and 10 points with Hispanic voters.”

In local elections in 2021, Erickson continued, Black voters “rejected a measure in Minneapolis, where George Floyd was killed, to defund the police: According to ward-level data, the predominantly Black Wards 4 and 5 rejected the Minneapolis ballot measure by wide margins (over 60 percent voted no), while predominantly white wards drove the measure’s support.

Erickson suggested that the culturally liberal tilt of the party’s left wing was a factor in declining minority support: “Case in point: Democrats dropped nine percentage points with non-college voters of color between 2012 and 2020, falling from 84 percent support in 2012 to 75 percent in 2020, according to Catalist. This was most pronounced with non-college men of color who went from 81 percent Democratic in 2012 to 69 percent in 2020.”

These losses reflect “a divergence in priorities and values,” Erickson wrote, citing poll data showing that, “while Democratic primary voters say hard work is no guarantee of success, Black voters disagree — saying most people can get ahead in America if they work hard — and that by a two-to-one margin, Black Americans say it is necessary to believe in God to have good morals. Democratic primary voters of all races disagree with that statement by similar margins.”

While the party is divided on values and priorities, Erickson pointed out that Democrats in Congress have reached general agreement on many issues that were highly divisive in the past: “There is only one pro-life Democrat left in Congress, and today’s moderate Democrats are loudly supportive of reproductive rights. There are no more N.R.A.-endorsed Democrats on the Hill, and if gun safety legislation were brought up tomorrow, every single Democrat in federal office would support it. Similarly, every Democrat not only supported the Respect for Marriage Act but would’ve likely gone further to explicitly codify marriage equality into law at the federal level.”

The major intraparty conflicts that remain, Erickson wrote, “are concentrated around two big questions. One is a process question: Do you believe progress is achieved by incremental steps or revolutionary change? The other is a values question: Do you believe that, with some basic policy reforms, our economic system can deliver a good life to those who work hard in this country, or rather that it needs to be torn down and fundamentally rebuilt from the ground up?”

The transition from a partisan division among white voters based on economic class to one based on level of educational attainment has had substantial consequences for the legislative priorities of the Democratic Party.

Frances Lee, a political scientist at Princeton, pointed out in an email that “the class base of the parties has atrophied” with the result that “the party system in the U.S. simply does not represent that ‘haves’ against the ‘have-nots.’ Both parties represent a mix of haves and have-nots in economic terms.”

Because the Democratic Party must hold down “a coalition of upper-income whites and minority constituencies across all income groups,” Lee wrote, party leaders, “are likely to prioritize issues that do not pit the well-off against the poor very directly, such as the rights agenda (e.g., voting rights, abortion, gays and lesbians) and climate/environment. Democrats in government are unlikely to genuinely prioritize the economic interests of low-income and working-class voters, because those voters simply do not represent a majority of their party’s coalition.”

As an example, Lee wrote, “Current Democrats are much more concerned about forgiving student loans than about the majority of voters who will not or did not go to college.”

What, then, is likely to happen in the Democratic ranks?

The reality, as summed up by Ryan Enos, is that for all their problems, “The Democrats are clearly the majority party and may be experiencing an unparalleled period of dominance: Since 1992, a period of 30 years, Republicans have only won a majority of popular presidential votes once, in 2004, and that was during the extraordinary time of two overseas wars.”

For the moment, the Democratic coalition — with all its built-in conflicts between a relatively affluent, well-educated, largely white wing, on the one hand, and an economically precarious, heavily minority but to some degree ascendant electorate on the other — remains a functional political institution.

“In this sense,” Enos told me, “it’s important not to overstate the damage that some perceive liberalism as having done to the Democrats’ electoral fortunes.”

Ed Comment: “if they were merely signaling, they might say blue and vote red. I strongly suspect they are “signaling” to themselves. I believe women in general feel horribly guilty and often sooth their guilt by voting to give away other people’s money. I also think pundits might be overattributing some anti trump sentiment to non trump factors. I know lots of never trump republicans. “

  • Politics

Inflation usually hits Americas poor hardest. Not this time

AI Summary. America's lowest earners experienced cumulative inflation of 13.5% over a roughly two-year period versus 15.5% for middle earners, reversing the usual pattern, as petrol prices more than doubled and used-vehicle prices rose about 50% while middle-income households spend more on fuel and cars relative to wages. Nominal wages rose 4.2% a year on average but 5.3% for the lowest-earning quartile.

Economist Staff The Economist
Date Posted:
February 10, 2023
Is Database:
Database

@TheEconomist Btw mid-2020-2022 America’s lowest earners saw cumulative inflation of 13.5% vs 15.5% for middle earners. The difference was largely driven by car prices & fuel expenditures.

Did inflation hit middle earners harder than the lowest earners?

Core argument: America's lowest earners experienced cumulative inflation of 13.5% between mid-2020 and 2022, below the 15.5% faced by middle earners, reversing the usual pattern in which inflation hits the poor hardest.

Between mid-2020 and 2022, America's lowest earners experienced cumulative inflation of 13.5%, while middle earners faced 15.5%, a reversal of the usual trend where inflation impacts the poor more severely. This anomaly was largely driven by car prices and fuel expenditures, as middle-income earners spend more on petrol and vehicles relative to their wages. During this period, petrol prices more than doubled and used-vehicle prices rose by about 50%, disproportionately affecting the middle class. Additionally, nominal wages increased at an average annual rate of 4.2% overall, but the lowest-earning quartile saw a 5.3% rise, enhancing their real income gains. This unusual pattern suggests a temporary shift towards greater economic equality, although the trend may not persist as wage growth softens and food inflation intensifies, potentially reverting to the norm where inflation hits the poor hardest.

Takeaways by Macro Roundup® AI

  1. America's lowest earners experienced cumulative inflation of 13.5% between mid-2020 and 2022, below the 15.5% faced by middle earners, reversing the usual pattern in which inflation hits the poor hardest.
  2. The reversal was largely driven by car prices and fuel expenditures, as petrol prices more than doubled and used-vehicle prices rose about 50%, while middle-income earners spend more on petrol and vehicles relative to their wages.
  3. Nominal wages rose at an average annual rate of 4.2% overall but 5.3% for the lowest-earning quartile, though the shift toward greater equality may not persist as wage growth softens and food inflation intensifies.

The Economist reports that between mid-2020-2022 America's lower earners saw cumulative inflation of 13.5% whereas middle earners saw 15.5%. The difference was largely driven by car prices and fuel expenditures.

“…Middle-income earners, not the poorest, appear to have borne the brunt of America’s current bout of inflation. Research by Xavier Jaravel of the London School of Economics has yielded a distinctive shape—an inverted-U curve—that illustrates the distributional effects of inflation in America from mid-2020 to mid-2022. For the lowest earners, inflation was about 13.5%. For those in the middle of the spectrum, inflation was closer to 15.5%. The wealthiest faced inflation of about 14%. Since 2020 nominal wages have increased at an average annual rate of about 4.2% for Americans as a whole. The lowest-earning quartile, however, has seen the biggest gains, with their wages up by 5.3% on average during the same period….”

Economist Staff, "Inflation usually hits America’s poor hardest. Not this time," The Economist, February 2, 2023, https://www.economist.com/graphic-detail/2023/02/02/inflation-usually-hits-americas-poor-hardest-not-this-time

Inflation usually hits America’s poor hardest. Not this time

It is often seen as an axiomatic truth about the pernicious effect of rising prices: the lowest earners suffer the most. The calculation is straightforward. Those on low incomes must spend a greater share of their earnings on food and rent, so when the prices for those items soar, they have less left over for everything else. The rich and the middle class, by contrast, are better insulated. This pattern has been observed over many decades, in many countries (see left-hand chart). But America’s current bout of inflation may be an exception to the rule: middle-income earners, not the poorest, appear to have borne the brunt of it (see right-hand chart).

Research by Xavier Jaravel of the London School of Economics has yielded a distinctive shape—an inverted-U curve—that illustrates the distributional effects of inflation in America from mid-2020 to mid-2022. During that time consumer prices rose by an average of 15%. Yet that average masked considerable variation. For the lowest earners, inflation was about 13.5%. For those in the middle of the spectrum, inflation was closer to 15.5%. The wealthiest faced inflation of about 14%. That the rich suffered less is unsurprising. But why have the poor also been somewhat sheltered?

The answer is in large part down to Americans’ reliance on cars. Mr Jaravel used annual expenditure shares from consumer surveys to work out who spends how much on what. Middle-income earners, he found, spend more than others on both petrol and vehicles relative to their wages. That may reflect school runs, longer commutes by car to work, more frequent trips to shops and the like. In the two years that he examined, inflation was extreme for petrol (the price of which more than doubled) and cars (used-vehicle prices rose by about 50%). By extension that hurt the middle class most. A further breakdown of the data reveals even more nuance: at all levels of income, rural Americans faced higher rates of inflation than their urban compatriots because they spent more hours behind the wheel.

A difference of two percentage points in inflation over the course of two years may not seem like much. But it comes on top of a divergence in nominal wage growth that has also, unusually, benefited Americans at the low end of the income scale. Since 2020 nominal wages have increased at an average annual rate of about 4.2% for Americans as a whole. The lowest-earning quartile, however, has seen the biggest gains, with their wages up by 5.3% on average during the same period. Slightly lower inflation makes those gains even bigger in real terms.

This suggests that the combination of a tight labour market and unevenly distributed inflation has made America a little more equal over the past few years, a striking difference with how things normally play out. Unfortunately, it may also be a blip. Wage growth has started to soften as the economy slows. Food inflation has become more severe. On both counts low-income earners are the most vulnerable. The sorry old truth that inflation hits the poor hardest still applies—just not always.

  • Inflation
  • GDP

American's Widening Productivity Gap

AI Summary. US labor productivity in tradable industries such as manufacturing, research and development, and finance has diverged from non-tradable sectors, reaching roughly $185,000 of value-added per employee and growing nearly 3% annually, versus about 0.57% annually in non-tradable sectors like government, healthcare, and construction.

Michael Spence Project Syndicate
Date Posted:
February 10, 2023
Is Database:
Database

@MichaelSpence, tradable US sectors saw productivity rise to ~$185,000 per employee, growing at nearly 3% annually, while non-tradable sectors averaged just 0.57% growth since 1998.

Is US productivity growth diverging between tradable and non-tradable sectors?

Core argument: US tradable-sector productivity reached roughly $185,000 in value-added per employee by 2021, growing at nearly 3% annually since 1998, nearly double the level of non-tradable industries.

Since 1998, labor productivity in the US tradable sector has diverged significantly from the non-tradable sector, with per-employee value-added in tradable industries nearly doubling that of non-tradable ones by 2021. Tradable sectors, including manufacturing and services like R&D and finance, saw productivity rise to ~$185,000 per employee, growing at nearly 3% annually. In contrast, non-tradable sectors such as government, healthcare, and construction experienced sluggish growth, averaging just 0.57% per year. This disparity highlights the challenges faced by large-employment sectors with low productivity growth, exacerbated by labor shortages and skills gaps. Addressing these issues through skill acquisition and technology adoption is crucial for balanced economic growth, as demand for services like healthcare and construction remains strong. Without targeted interventions, the US risks uneven growth and missed opportunities for broader economic benefits.

Takeaways by Macro Roundup® AI

  1. US tradable-sector productivity reached roughly $185,000 in value-added per employee by 2021, growing at nearly 3% annually since 1998, nearly double the level of non-tradable industries.
  2. Non-tradable sectors including government, healthcare, and construction averaged productivity growth of just 0.57% per year, despite their large employment shares.
  3. Labor shortages and skills gaps compound the productivity divergence, and skill acquisition and technology adoption in low-productivity, high-demand sectors such as healthcare and construction are needed for balanced US growth.

Michael Spence and Belinda Azenui note that labor productivity between the tradable and non-tradable sectors started to diverge in 1998, and by 2021 per-employee value-added in tradable sectors was nearly double the non-tradable sectors.

“…Value-added per employee is a measure of labor productivity. In America’s tradable sector, it has risen steadily over the last two decades in both manufacturing and services, reaching roughly $185,000 (in chained 2012 dollars) in 2021. Over the same period, productivity growth in this sector averaged nearly 3%. The non-tradable economy is just 0.57% per annum over the last 20 years. This reflects below-average productivity levels and, in most cases, low-to-moderate productivity growth in the large-employment sectors. There was not always a large gap between the tradable and non-tradable sectors. On the contrary, as the chart shows, labor productivity was about $100,000 across the economy in 1998. But by 2021, after more than two decades of steady divergence, per-employee value-added in the tradable sector was nearly double the level in the non-tradable sector….”

Michael Spence and Belinda Azenui, "American's Widening Productivity Gap,"Project Syndicate, February 6, 2023, https://www.project-syndicate.org/commentary/us-productivity-growth-non-tradable-sectors-labor-shortages-by-michael-spence-and-belinda-azenui-2023-02

America’s Widening Productivity Gap

MILAN/GRANVILLE, OHIO - The United States has a productivity problem, though one would never know it from looking only at the industries producing goods and services that are traded internationally. Because these goods and services account for only one-third of GDP and slightly over 20% of employment, as is typical for a developed economy, it is important also to consider the non-tradable sector that comprises the remaining two thirds of the economy.

The economy’s tradable sector comprises agriculture, forestry, fishing, and manufacturing - the production of goods, as either final or intermediate products - which in 2021 accounted for one-third of tradable value-added. The tradable sector also includes services such as research and development, consulting, information, and much of finance. Taken together, services account for about two-thirds of tradable value-added - a share that has increased over the last two decades.

Value-added for a firm or industry is calculated by subtracting purchased inputs like energy and intermediate products - excluding labor and capital - from total sales in dollars. It can be understood as the value created by the combination of labor and capital. That value is then captured as income for the labor (forming the upper limit on the average compensation of employees in the sector) and returns for the owners of the capital.

Value-added per employee is thus a measure of labor productivity. And, in America’s tradable sector, it has risen steadily over the last two decades in both manufacturing and services, reaching roughly $185,000 (in chained 2012 dollars) in 2021. Over the same period, productivity growth in this sector averaged nearly 3%. If this had been true of the non-tradable part of the economy - including large-employment sectors such as government, health care, traditional retail, accommodation and food service, education, and construction - nobody would have to be worried about productivity.

There is no good way to measure government productivity, because markets do not price the value created by services that are generally not sold. For accounting purposes, value-added for the government is measured by the costs of labor and capital, the assumption being that democratic collective-choice mechanisms will eliminate services whose costs exceed the perceived benefits. But that approach does not provide much insight into productivity: the fact that value-added per government employee has grown very slowly - by 0.25%, on average, over two decades - just means that, on average, labor and capital costs grew at roughly the same pace as employment.

For the rest of the non-tradable economy, however, we can measure productivity growth, and the results - based on industry-specific data from the Bureau of Economic Analysis for employment and real value-added (in billions of chained 2012 dollars) - are very different than the tradable picture and far from rosy: just 0.57% per annum over the last 20 years. This reflects below-average productivity levels and, in most cases, low-to-moderate productivity growth in the large-employment sectors.

For example, in 2021, hospitality employs 12 million people, has value-added per employee of $41,355 - less than one-third of the $130,000 national average - and productivity growth of 0.26%. The health-care and social-assistance sector employs 20 million people, with value-added per employee of $73,624 and productivity growth of 0.71%. For construction, the figures are 7.6 million, $87,425, and -1.21%, respectively.

There was not always a large gap between the tradable and non-tradable sectors. On the contrary, as the chart shows, labor productivity was about $100,000 across the economy in 1998. But by 2021, after more than two decades of steady divergence, per-employee value-added in the tradable sector was nearly double the level in the non-tradable sector.

American's Widening Productivity Gap: Extended Excerpt Image 1


By definition, there is no external supply or demand in non-tradable sectors, and thus no external competition or specialization. These sectors must therefore be supplied by domestic and even local entities. Put simply, the supply and demand side must match.

Today, however, many non-tradable parts of the economy - including all the large-employment ones - are experiencing labor shortages. This is partly because factors like stress, safety issues, low compensation, and lack of flexibility are driving workers away from these jobs. But skills gaps are also playing a role. Given this, removing barriers to the acquisition of higher-level skills and incomes is a critical component of any structural-transition agenda.

Demand for health care, hospitality, and construction services is not going to drop. So, labor-supply constraints may lead to higher wages and higher prices, raising incomes and measured labor productivity to some extent. But more must be done to boost productivity growth in low-productivity sectors, thereby mitigating supply constraints, which population aging is set to exacerbate.

Digital technologies have been an important driver of productivity growth in rapidly expanding industries. Given recent breakthroughs in robotics and artificial intelligence, there is every reason to believe this will continue. But progress in high-end services and manufacturing alone is not enough. These powerful technologies must also be applied in low-value-added, low-wage, and low-productivity-growth parts of the economy.

Given labor-supply constraints and economic shocks - linked, for example, to climate change and geopolitics - the case for productivity-boosting interventions is clear. Unless policymakers use a combination of investment and incentives to reverse negative productivity trends, the US will achieve modest growth, at best. Worse, the growth that it does attain will be highly uneven, excluding many from its benefits.

  • Productivity
    • Workforce Reorganization
      • High vs Low Skill
      • Manufacturing vs Services


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