Edward Conard

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  • Mentions 442
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Great Resignation Not That Great After All, Fed Study Says

Alister Bull Bloomberg
Date Posted:
June 27, 2022
Is Database:
Database

Great Resignation follows historical pattern: Current 2.9% quit rate (4.4m workers) mirrors postwar recovery spikes. SF Fed study: Similar waves in 1948-73 suggest natural economic cycle, not anomaly

Analysis by the Federal Reserve Bank of San Francisco suggests that the "Great Resignation" may not be as unprecedented as perceived. Historical data from the Manufacturing Labor Turnover Survey indicates that high waves of quits were common during rapid economic recoveries in the postwar period, with similar patterns observed in 1948, 1951, 1953, 1966, 1969, and 1973. The current quits rate remains near a record at 2.9%, with 4.4m Americans leaving their jobs in February. These trends coincide with fast payroll employment growth in both manufacturing and nonfarm sectors. Despite the tight labor market and low unemployment rate of 3.6% in March, which are driving wage increases, the study suggests that employers may find it easier to fill positions by late 2022, potentially easing wage pressures.

“Evidence from both recent worker surveys and historical data on quits shows that the ‘Great Resignation’ is not as unusual as one might think,” wrote Bart Hobijn... latest Economic Letter from the Federal Reserve Bank of San Francisco... Hobijn argues that prior to 2000, high waves of quits had actually been quite common during rapid economic recoveries in the postwar period, based on the Manufacturing Labor Turnover Survey, which was discontinued in 1981. “The quits waves in manufacturing in 1948, 1951, 1953, 1966, 1969, and 1973 are of the same order of magnitude as the current wave,” he said. “All of these waves coincide with periods when payroll employment grew very fast, both in the manufacturing sector and the total nonfarm sector.”...The so-called quits rate, which measures voluntary job leavers as a share of total employment, remained near a record at 2.9% in February. Roughly 4.4 million Americans quit their jobs in the month, according to Labor Department data back to 2000"

Alister Bull, "‘Great Resignation’ Not That Great After All, Fed Study Says,"Bloomberg, April 4, 2022, https://www.bloomberg.com/news/articles/2022-04-04/-great-resignation-not-that-great-after-all-fed-study-says

Great Resignation’ Not That Great After All, Fed Study Says

High levels of workers quitting their jobs -- dubbed the “Great Resignation” -- may not be that rare after all, according to the latest Economic Letter from the Federal Reserve Bank of San Francisco.

“Evidence from both recent worker surveys and historical data on quits shows that the ‘Great Resignation’ is not as unusual as one might think,” wrote Bart Hobijn, a visiting fellow with the regional Fed’s research department and a professor of economics at Arizona State University.

The so-called quits rate, which measures voluntary job leavers as a share of total employment, remained near a record at 2.9% in February. Roughly 4.4 million Americans quit their jobs in the month, according to Labor Department data back to 2000.

Great Resignation Not That Great After All, Fed Study Says: Extended Excerpt Image 1


That high reading has been cited by Fed officials as a sign of a very tight U.S. labor market -- alongside an unemployment rate that fell to 3.6% in March -- which is pushing wages up. The central bank also touts those metrics to argue the job market is strong enough to handle interest rate hikes to confront the hottest inflation in 40 years.

But Hobijn argues that prior to 2000, high waves of quits had actually been quite common during rapid economic recoveries in the postwar period, based on the Manufacturing Labor Turnover Survey, which was discontinued in 1981.

“The quits waves in manufacturing in 1948, 1951, 1953, 1966, 1969, and 1973 are of the same order of magnitude as the current wave,” he said. “All of these waves coincide with periods when payroll employment grew very fast, both in the manufacturing sector and the total nonfarm sector.”

Still, while he suggests that employers will have more success filling open positions, which should ease upward pressure on wages, he doesn’t see that happening until late 2022.

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Previous articleJune 27, 2022Quarterly Capitalism Isnt Ruining the WorldUS R&D spending reached a post-WWII high in 2020 as a share of GDP, with corporate R&D spending doubling since 1980, according to @JamesMackintosh @WSJ. This suggests fears of short-termism stifling innovation are unfounded.Next articleJune 27, 2022Unemployment Insurance, Starting Salaries, and JobsUI benefit cuts show employment-wage trade-off: 23-50% UI reduction drives job growth +1.5-2.4% but wages fall -1.8-7.2%. Study across 7 states reveals -1.0 labor demand elasticity.
Showing 218 database articles primarily about Business Cycle

3% vs. 60%

AI Summary. Direct lending represents roughly 3% of total U.S. household and business debt, a fraction of the 60% share mortgages held at the peak of the housing bubble.

Torsten Sløk Apollo
Date Posted:
April 8, 2026
Is Database:
Database

Torsten Sløk notes the direct lending market is ~$2T or 3% of household and non-financial debt outstanding. To provide context, he shows that in 2006, on the eve of the crisis, mortgages accounted for ~60% of such debt.

Core argument: Direct lending represents a small but growing alternative to traditional bank financing for businesses and households.

The direct lending market is roughly $2 trillion, or about 3% of total debt outstanding for US households and businesses. By comparison, mortgages accounted for about 60% of total household and corporate debt at the peak of the housing bubble in 2006.

Takeaways by Macro Roundup® AI

  1. Direct lending represents a small but growing alternative to traditional bank financing for businesses and households.
  2. The mortgage market’s dominance has shifted dramatically since the 2006 housing peak, reducing systemic risk concentration.
  3. Non-bank lenders now capture meaningful market share in credit provision across the economy.

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Top 10% of Earners Drive a Growing Share of US Consumer Spending

Jonnelle Marte Bloomberg
Date Posted:
September 17, 2025
Is Database:
Database

Mark Zandi finds Americans in the top 10% of the income distribution accounted for 49.2% of consumer spending in Q2, the highest level since 1989.

Consumers in the top 10% of the income distribution accounted for 49.2% of total spending in the second quarter, up from 48.5% in the first quarter, reaching the highest level in data going back to 1989, according to an analysis of Federal Reserve data by Mark Zandi, chief economist for Moody’s Analytics. In contrast, the bottom 80% of the income distribution, or consumers making less than roughly $175,000 a year, have seen their spending merely keep pace with inflation since the pandemic.

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  • Business Cycle
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Litigation Nation, Engineering Empire

Jonathon Sine Cogitations
Date Posted:
September 2, 2025
Is Database:
Database
Is Important:
Important

Jonathon Sine argues China “is moving beyond its breakneck industrial prime, facing similar dilemmas to those America confronted in the 1960s and 70s.” The ratio of science/engineering to humanities undergraduate majors is 2:1 in both the PRC and US.

Dan Wang’s “big idea” [is] “China is an engineering state, building big at breakneck speed, in contrast to the United States’ lawyerly society, blocking everything it can, good and bad.” I re-group US college majors according to Chinese disciplines to allow for rough comparison. Surprisingly, the ratio of science/engineering to humanities/social sciences is 2:1, the same as in China (if one groups management with science/engineering, as I also do for China). As with China today, America’s breakneck building phase was decidedly winding down by the 1960s. Urbanization went from 40% in 1900 to 70% by 1960, and grew much more incrementally over the next 60 years to 85% by 2020. The country simply did not need to continue building dams, expressways, and energy production facilities at breakneck pace. It became much more a matter of maintaining and upgrading (which has not gone well, at least according to the American Society of Civil Engineers’ report card). The American [building/investment slowdown that started after the 1970s] may be more about structural economic shifts than lawyers.

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  • America’s Housing Affordability Crisis and the Decline of Housing Supply — Why are constant-quality house prices 15% above their pre-2007 peak? Ed Glaeser notes that US housing grew just 0.6% annually in the 2010s, down from 4% in the…
  • Business Cycle
  • GDP
    • Growth

How America’s AI Boom Is Squeezing The Rest Of The Economy

Economist Staff The Economist
Date Posted:
August 19, 2025
Is Database:
Database
Is Important:
Important

As AI-related investment has risen since 2023, residential and nonresidential investment have declined or flatlined. This may suggest that a relatively rate-insensitive AI buildout is crowding out more interest-sensitive forms of investment.

Something like a sixth of the 2% rise in American real GDP over the past year has come from investments in computer and communications equipment, including chips, and data centres. Add in the grid upgrades to power AI models, plus the intellectual-property value of the software itself, and one estimate puts the boom’s contribution to real GDP growth at 40%. The trouble is that the very sector powering so much of America’s economic growth is squeezing the rest of its output. Housebuilders, for instance, cannot afford to be blithe about higher borrowing costs. Data centres have also constrained the rest of the economy by keeping energy prices high. Average American electricity bills have risen by 7% so far in 2025, at least in part due to the extra strain data centres have put on the grid. Real consumption has flatlined since December. Housebuilding has slumped, as has non-AI business investment.

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  • Business Cycle
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  • Productivity
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Is it Over?

Joseph Wang Fed Guy Blog
Date Posted:
August 18, 2025
Is Database:
Database

Following tepid reactions to the release of GTP-5, Joe Wang observes, “It is looking more like companies are spending hundreds of billions on rapidly depreciating GPUs that produce a commoditized product that most clients only modestly benefit from.”

GPT-5 users widely expressed disappointment in the capabilities of the new release, which seemed in some ways a step back. This sentiment is reflected in benchmarks that show a modest improvement in capabilities since the significant improvement in version 4 released two years ago. In addition, the benchmarks suggest a broader convergence in the capabilities of AI models. Commentary suggests this could be due to inherent limitations in the LLM technology and exhaustion of new training data. AI is fascinating technology, but it may not justify the enormous sums spent in its pursuit. It is looking more like companies are spending hundreds of billions on rapidly depreciating GPUs that produce a commoditized product that most clients only modestly benefit from. The entire macro landscape would look very different without the support of the AI boom.

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  • Business Cycle
  • GDP
    • Financial Markets
  • Productivity
    • Innovation/Research
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US Households and Firms Are in Great Shape

Torsten Sløk Apollo
Date Posted:
March 31, 2025
Is Database:
Database

​​Torsten Sløk notes that US household and banking sector debt has fallen to its lowest level in decades as a % of GDP, while corporate leverage has moved sideways. “The bottom line is that the private sector in the US is in incredibly good shape.”

Household sector leverage and banking sector leverage have declined significantly since 2008. Over the same period, federal government leverage has increased significantly, and corporate leverage has moved sideways. The bottom line is that the private sector in the US is in incredibly good shape.

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