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Skimming U.S. Housing Froth a Delicate, Daunting Task

AI Summary. U.S. housing wealth rose by nearly $9tn over roughly two years, driven mainly by price gains rather than added housing stock, amid pandemic-era fiscal stimulus and low interest rates. A 15-20% price correction is estimated to reduce real personal consumption by 0.5-0.7 percentage points.

Enrique Martínez-García Federal Reserve Bank of St. Louis
Date Posted:
November 17, 2022
Is Database:
Database

Btw Q1 2020 and Q2 2022, US housing wealth surged by nearly $9tn, driven by price gains rather than an increase in housing stock. A 15-20% price correction could reduce real personal consumption expenditures by 0.5-0.7pp.

How much would a housing price correction reduce consumption?

Core argument: U.S. housing wealth rose by nearly $9tn between Q1 2020 and Q2 2022, driven primarily by price gains rather than growth in the housing stock.

Between Q1 2020 and Q2 2022, U.S. housing wealth surged by nearly $9tn, driven primarily by price gains rather than an increase in housing stock. This rapid appreciation, largely fueled by pandemic-related factors such as fiscal stimulus and low interest rates, has led to a frothy market with significant risks. A potential 15-20% price correction could reduce real personal consumption expenditures by 0.5-0.7pp, highlighting the delicate balance policymakers must maintain to avoid exacerbating economic vulnerabilities. The pandemic-era boom has also intensified wealth inequality, as homeownership remains a key driver of household wealth. As monetary policy tightens, the challenge lies in curbing inflation without triggering a severe housing market downturn, which could further strain the economy.

Takeaways by Macro Roundup® AI

  1. U.S. housing wealth rose by nearly $9tn between Q1 2020 and Q2 2022, driven primarily by price gains rather than growth in the housing stock.
  2. A 15–20% house price correction could reduce real personal consumption expenditures by 0.5–0.7pp, according to the analysis of the pandemic-era housing boom.
  3. The pandemic-era housing boom, attributed to factors including fiscal stimulus and low interest rates, has intensified wealth inequality, with homeownership remaining a key driver of household wealth.

"...Housing wealth increased by nearly $9 trillion between the first quarter of 2020 and the second quarter of 2022, more than 82 percent through price gains rather than an increase in the housing stock. Plausible estimates of the direct impact on housing wealth suggest that a pessimistic scenario—with a real price correction of 15-20 percent—could shave as much as 0.5-0.7 percentage points from real personal consumption expenditures...."

Skimming U.S. Housing Froth a Delicate, Daunting Task: Extended Excerpt Image 1


Enrique Martínez-García, "Skimming U.S. Housing Froth a Delicate, Daunting Task,"Federal Reserve Bank of Dallas, November 15, 2022, https://www.dallasfed.org/research/economics/2022/1115

Skimming U.S. Housing Froth a Delicate, Daunting Task

U.S. house prices appreciated a remarkable 94.5 percent from first quarter 2013 to second quarter 2022—a 60.8 percent rise after adjusting for inflation. The magnitude of the increase is even larger than that of the preceding housing boom, from first quarter 1998 to second quarter 2007.

House prices have risen especially rapidly since the pandemic began—from first quarter 2020 to second quarter 2022—accounting for roughly 40 percent of the decade-long appreciation. Measures of profitability (price to rent) and affordability (price to income) have also jumped in the past two years, past historic highs dating back to first quarter 1975.

This unprecedented pandemic boom poses an outsized risk for the U.S. economy, pressuring housing rents and, consequently inflation, higher. The possibility of a sharp price correction leading to an economic contraction—were one to materialize—would further complicate Federal Reserve inflation-fighting efforts.

Housing Demand Outstripped Supply During Pandemic

Fundamental forces—whether temporary or more persistent—spurred the initial house price surge. Robust disposable income supported by pandemic-related fiscal stimulus and cheap credit boosted consumer demand, while supply-chain disruptions, COVID-19-related lockdowns, and rising labor and raw construction materials costs pushed supply lower.

Pandemic-induced lifestyle changes—work-from-home arrangements and internal migration—also help explain why demand so outpaced housing supply early on.

A housing boom—such as the pandemic-era run-up—becomes frothy when the belief becomes widespread that today’s robust price increases will continue unabated. If many buyers and investors share this belief, purchases arising from a “fear of missing out” (FOMO) further drive up prices and reinforce expectations of strong (and accelerating) future gains beyond what fundamentals could justify.

This self-fulfilling mechanism leads to exponential price growth until a price correction inevitably occurs.

COVID-Era Boom Became Bubbly

Economists often disagree on the fundamental value of housing and what causes expectation-driven bubbles. There is greater agreement on how to identify unsustainable exponential growth—a symptom of a bubble—in the data.

A novel empirical approach is based on so-called exuberance statistics. These measures can help detect if and when housing market indicators—quarterly real house prices, the house price-to-rent ratio and the house price-to-income ratio—start growing exponentially (Chart 1). An exuberance statistic above the 95 percent threshold signifies 95 percent confidence of abnormal unsustainable behavior in the underlying data series. Such episodes are identified in all charts with varying grades of shaded bars.

Skimming U.S. Housing Froth a Delicate, Daunting Task: Extended Excerpt Image 2


Prices adjusted for inflation rose 24.3 percent from first quarter 2020 to second quarter 2022, the largest nine-quarter gain since the mid-1970s and more than three times the rate of growth of the prior nine-quarter period (fourth quarter 2017 to first quarter 2020). This pace of acceleration cannot be easily reconciled with fundamentals, which did not display comparable behavior.

Moreover, the latest statistics from second quarter 2022 closely parallel the preceding housing bubble, with the data once again showing evidence of explosive behavior in the price-to-rent and price-to-income ratios as well. Accordingly, the pandemic surge before summer 2022 exhibited widening symptoms of a FOMO-driven bubble, one that extends beyond the U.S.

Monetary Policy’s Role Easing Housing Booms

The relatively high number of new houses currently under construction can be a silver lining since supply catching up with demand can take some air out of the market and curb housing affordability woes. However, completions continue to lag. Recent data also show slowing housing sales and softening prices as borrowing costs surge, easing market pressure and, perhaps, enabling builders to chip away on order backlogs.

The share of mortgage debt service payments as a percent of personal disposable income stood at a historically low 3.9 percent in second quarter 2022. This remains well below the unsustainably high range of 6-7 percent reached at the peak of the last housing boom during 2005-07 (Chart 2). The mortgage share of income is poised to rise given the rapid increase of the 30-year mortgage rate―from 3 percent to above 6 percent at the end of third quarter 2022―induced by Fed monetary policy tightening since March 17, 2022. Rapidly rising mortgage rates have contributed to plummeting mortgage loan applications and declining housing sales.

Skimming U.S. Housing Froth a Delicate, Daunting Task: Extended Excerpt Image 3


The full effect of the ongoing tightening on households—including ultimately restraining housing demand—will take some time to be felt as the outstanding pool of mortgages gradually incorporates more of the recent vintages at higher rates.

Housing Poses Vulnerability for the U.S. Economy

The red-hot pandemic-era housing market poses significant risks to the Fed’s dual mandate of price stability and maximum sustainable employment.

On the inflation side, the four-quarter change in asking rents climbed to 16 percent in second quarter 2022, modestly slowing to 12.2 percent in the third quarter, reflecting house price increases, according to Zillow data. The Bureau of Labor Statistics’ rent of shelter—a broad measure of household rental costs and a component of the Consumer Price Index (CPI)—reacts with a lag given that landlords’ asking rents are increased gradually as leases turn over. Even so, rent of shelter climbed to 6.2 percent in third quarter 2022—the sharpest rent increase since at least the early 1990s—and pushing overall CPI inflation higher (Chart 3).

Skimming U.S. Housing Froth a Delicate, Daunting Task: Extended Excerpt Image 4


Achieving a soft economic landing—taming inflation and avoiding a recession, as the Fed accomplished in 1994—cannot be taken for granted given that further monetary policy tightening can increase the household mortgage debt servicing burden and boost the odds of a severe house price correction.

Housing wealth increased by nearly $9 trillion between first quarter 2020 and second quarter 2022, more than 82 percent through price gains rather than from an increase in the stock of housing (Chart 4).

Skimming U.S. Housing Froth a Delicate, Daunting Task: Extended Excerpt Image 5


Plausible estimates of the direct impact on housing wealth suggest that a pessimistic scenario—with a real price correction of 15-20 percent—could shave as much as 0.5-0.7 percentage points from real personal consumption expenditures. Such a negative wealth effect on aggregate demand would further restrain housing demand, deepening the price correction and setting in motion a negative feedback loop.

To complicate matters, the pandemic price boom has also widened wealth inequality since homeownership is the primary driver of household wealth

Is a Major Housing Correction Unavoidable?

In the current environment, when housing demand is showing signs of softening, monetary policy needs to carefully thread the needle of bringing inflation down without setting off a downward house-price spiral—a significant housing sell-off—that could aggravate an economic downturn. Increasing mortgage rates, which follow from higher Fed policy rates, reduce the risk of prolonging the house price boom.

A gradual unwinding of the pandemic housing excesses can occur if policymakers can quell inflation without putting buyers under too much stress and can slow house price and rent increases while keeping underwater mortgages (housing worth less than what is owed) from rising.

Households and financial institutions are in better shape than during the housing boom and bust in the mid-2000s, likely providing more of a cushion to withstand some of the consequences of a negative wealth effect, were one to materialize.

However, after a housing boom partly driven by pandemic-era FOMO beliefs, cooling market participants’ expectations is key to shifting house prices toward a more sustainable path and avoiding the peril of a disorderly market correction.

A severe housing bust from the frothy pandemic run-up isn’t inevitable. Although the situation is challenging, there remains a window of opportunity to deflate the housing bubble while achieving the Fed’s preferred outcome of a soft landing. This is more likely to happen if the worst-case scenario of a price-correction-induced economic downturn can be avoided.

  • Business Cycle
  • GDP
    • Housing
Previous articleNovember 17, 2022Chartbook 172: Finance and the Polycrisis 3 US Treasuries - how fragile is the world's most important market?The $23tn US Treasury market faces potential instability as foreign buyers reduce purchases, leading to illiquidity and volatility.Next articleNovember 17, 2022Who is Driving the Labor Shortage? Part-time Over-70 Workers@EmployAmerica 2/3 of the overall employment rate decline is driven by the aging of the population and a reduction in part-time employment of workers > age 70.
Showing 218 database articles primarily about Business Cycle

3% vs. 60%

AI Summary. The direct lending market is roughly $2tn, or about 3% of total US household and business debt outstanding, compared with mortgages accounting for about 60% of total household and corporate debt 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.

Is direct lending too small to threaten the financial system?

Core argument: The direct lending market totals roughly $2 trillion, about 3% of total debt outstanding for US households and businesses.

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. The direct lending market totals roughly $2 trillion, about 3% of total debt outstanding for US households and businesses.
  2. Mortgages accounted for about 60% of total US household and corporate debt at the peak of the housing bubble in 2006, compared with direct lending's roughly 3% share.

Related Articles:

  • JPMorgan Marking Down Loan Portfolios Of Private Credit Groups — JPMorgan has marked down the value of certain loans in private credit funds' portfolios that serve as collateral for the funds' borrowing from the bank, limiting how much it will lend against them. Unlike most banks, which require triggers such as missed interest payments, JPMorgan reserves the right to revalue those assets at any time.
  • Data Update 7 for 2026: Debt and Taxes — The author argues that companies are collectively over-investing in artificial intelligence and that markets will correct when that belief dissipates. Because debt, particularly private credit, now finances much of this investment, the author contends a correction would spread beyond equity holders and produce a banking-style crisis driven by non-bank lenders.
  • Business Cycle
  • GDP
    • Financial Markets

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

AI Summary. An analysis of Federal Reserve data found the top 10% of US earners accounted for 49.2% of total consumer spending, up from 48.5% the prior quarter and the highest share in data going back to 1989. Spending by the bottom 80%, those making under roughly $175,000, has merely kept pace with inflation.

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.

Are top earners accounting for a record share of consumer spending?

Core argument: The top 10% of US earners accounted for 49.2% of total consumer spending in the second quarter, up from 48.5% in the first quarter and the highest share in data going back to 1989, according to Mark Zandi's analysis of Federal Reserve data.

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.

Takeaways by Macro Roundup® AI

  1. The top 10% of US earners accounted for 49.2% of total consumer spending in the second quarter, up from 48.5% in the first quarter and the highest share in data going back to 1989, according to Mark Zandi's analysis of Federal Reserve data.
  2. Consumers in the bottom 80% of the income distribution, making less than roughly $175,000 a year, have seen their spending merely keep pace with inflation since the pandemic, according to Moody's Analytics chief economist Mark Zandi.

Related Articles:

  • The U.S. Economy Depends More Than Ever on Rich People — Moody's Analytics estimates the top 10% of earners account for 49.7% of all U.S. consumer spending, a record in data going back to 1989, up from about 36% three decades ago, with their spending alone equal to almost one-third of gross domestic product.
  • To Understand America Today, Study the Zero-Sum Mindset — Younger generations in the United States and other rich countries hold more zero-sum views than older ones, a pattern researchers link to growing up amid slower economic growth and lower mobility. People who have surpassed their parents, or whose families rose over generations, are less likely to think in zero-sum terms.
  • Zero-Sum Thinking and the Roots of U.S. Political Divides — Zero-sum thinking — viewing gains for one group as losses for another — is associated with greater support for liberal economic policies, stronger alignment with the Democratic Party, and weaker alignment with the Republican Party. The authors also find it linked to believing the QAnon conspiracy theory holds some truth and to sympathy for the attack on the U.S. Capitol.
  • Business Cycle
  • GDP
  • Workforce
    • Inequality

Litigation Nation, Engineering Empire

AI Summary. Regrouping US college majors to match Chinese disciplines yields a 2:1 ratio of science and engineering to humanities and social sciences, the same ratio as in China. The author argues America's building slowdown reflects structural economic shifts—urbanization reached 70% by 1960 and 85% by 2020, shifting needs toward maintenance—rather than a lawyerly culture.

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.

Does America's building slowdown reflect structural shifts rather than lawyerly culture?

Core argument: Regrouping US college majors according to Chinese disciplines yields a 2:1 ratio of science/engineering to humanities/social sciences, the same ratio as in China when management is grouped with science/engineering in both.

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.

Takeaways by Macro Roundup® AI

  1. Regrouping US college majors according to Chinese disciplines yields a 2:1 ratio of science/engineering to humanities/social sciences, the same ratio as in China when management is grouped with science/engineering in both.
  2. US urbanization rose from 40% in 1900 to 70% by 1960, then grew more incrementally to 85% by 2020, with America's breakneck building phase winding down by the 1960s.
  3. The US building and investment slowdown that began after the 1970s may owe more to structural economic shifts than to lawyers, qualifying Dan Wang's contrast between China's engineering state and America's lawyerly society.

Related Articles:

  • Industrial Colossus: China vs 1950s America — China's growth in its share of global manufacturing has slowed from roughly 1.5 percentage points per year in the early 2010s to just over 0.5 percentage points annually, about one-third the earlier pace. The author argues China's share of global manufacturing is likely near its peak.
  • The Real China Model — China generates more electricity annually than the United States and European Union combined, having added capacity equivalent to the United Kingdom's total supply each year. Electricity makes up nearly 30% of China's energy use, versus 22% in the US and 21% globally, and its share is growing about 6% a year.
  • America’s Housing Affordability Crisis and the Decline of Housing Supply — Housing production intensity has fallen substantially, especially in fast-growing Sunbelt markets once known for building, converging toward the low rates long seen on the coasts and in declining industrial centers. The authors argue incumbent-controlled regulation explains the weakening link between high prices, high demand areas, and new construction.
  • Business Cycle
  • GDP
    • Growth

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

AI Summary. About a sixth of America's 2% real GDP growth over the past year came from investment in computer and communications equipment and data centres, and one estimate puts the artificial intelligence boom's total contribution to growth at 40%. Average electricity bills rose 7%, attributed in part to data-centre demand, while housebuilding and non-AI business investment slumped and real consumption flatlined.

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.

Is the AI investment boom crowding out the rest of the economy?

Core argument: Roughly a sixth of the 2% rise in American real GDP over the past year came from investment in computer and communications equipment, including chips, and data centres; one estimate puts the AI boom's contribution at 40% once grid upgrades and software intellectual property are included.

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.

Takeaways by Macro Roundup® AI

  1. Roughly a sixth of the 2% rise in American real GDP over the past year came from investment in computer and communications equipment, including chips, and data centres; one estimate puts the AI boom's contribution at 40% once grid upgrades and software intellectual property are included.
  2. 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.

Related Articles:

  • Honey, AI Capex is Eating the Economy — Capital spending on AI data centers is around 20% of railroads' peak spending as a share of GDP and is rising quickly, having already surpassed the dot-com era peak in telecom investment. Unlike long-lived rail infrastructure, data centers are short-lived assets requiring frequent hardware replacement, and the capital is being reallocated from other sectors.
  • Back to Our Regularly Scheduled Programming — The four largest US hyperscalers spent $440bn on capital expenditure and research in 2024, with $596bn projected for 2025, a 35% increase, leaving large gaps between AI spending and AI revenues. These firms account for more than half of all capital expenditure growth in the US equity market.
  • The AI Boom’s Hidden Risk to the Economy — Net income at Alphabet, Amazon, Meta and Microsoft rose 73% to $91bn in a quarter two years on, while their combined free cash flow fell 30% to $40bn, as heavy AI investment absorbs cash these firms once recycled into financial markets. That spare cash previously helped hold down long-term interest rates despite large federal deficits.
  • Business Cycle
  • GDP
  • Productivity
    • Innovation/Research
    • Investment

Is it Over?

AI Summary. Benchmark scores show only modest capability gains in the latest large language model releases compared with the larger jump seen two generations earlier, alongside a broader convergence in performance across competing AI models. Commentators attribute this to inherent limits of the technology and the exhaustion of new training data, raising doubts that the spending on AI hardware is justified.

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.”

Are AI capability gains slowing enough to question hardware spending?

Core argument: GPT-5 users widely expressed disappointment with the release, which seemed in some ways a step back, and benchmarks show only modest capability gains since the significant improvement delivered by version 4 two years earlier.

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.

Takeaways by Macro Roundup® AI

  1. GPT-5 users widely expressed disappointment with the release, which seemed in some ways a step back, and benchmarks show only modest capability gains since the significant improvement delivered by version 4 two years earlier.
  2. Benchmarks suggest a broader convergence in AI model capabilities, with commentary attributing this to inherent limitations of large language model technology and exhaustion of new training data.
  3. Companies appear to be spending hundreds of billions on rapidly depreciating GPUs producing a commoditized product that most clients only modestly benefit from, and the entire macro landscape would look very different without the support of the AI boom.

Related Articles:

  • Honey, AI Capex is Eating the Economy — Capital spending on AI data centers is around 20% of railroads' peak spending as a share of GDP and is rising quickly, having already surpassed the dot-com era peak in telecom investment. Unlike long-lived rail infrastructure, data centers are short-lived assets requiring frequent hardware replacement, and the capital is being reallocated from other sectors.
  • Back to Our Regularly Scheduled Programming — The four largest US hyperscalers spent $440bn on capital expenditure and research in 2024, with $596bn projected for 2025, a 35% increase, leaving large gaps between AI spending and AI revenues. These firms account for more than half of all capital expenditure growth in the US equity market.
  • AI’s $600B Question — Comparing spending on AI chips to historical railroad construction overlooks that high-fixed-cost, low-marginal-cost businesses without monopoly or oligopoly power tend to see prices competed down to marginal cost, and that semiconductors continually improve in cost versus performance, unlike physical infrastructure. Speculative frenzies accompany technology, but the payoff will take a long time.
  • Business Cycle
  • GDP
    • Financial Markets
  • Productivity
    • Innovation/Research
    • Investment

US Households and Firms Are in Great Shape

AI Summary. Household and banking sector leverage in the US have declined significantly since 2008, while corporate leverage has moved sideways and federal government leverage has risen significantly. On this measure, the US private sector is in strong financial 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.”

Is the US private sector in strong financial shape?

Core argument: US household sector leverage and banking sector leverage have both declined significantly since 2008, leaving the US private sector in what the author characterizes as 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.

Takeaways by Macro Roundup® AI

  1. US household sector leverage and banking sector leverage have both declined significantly since 2008, leaving the US private sector in what the author characterizes as incredibly good shape.
  2. US federal government leverage has increased significantly since 2008, moving in the opposite direction from the deleveraging in the household and banking sectors.
  3. US corporate leverage has moved sideways since 2008, neither declining like household and banking leverage nor rising like federal government leverage.

Related Articles:

  • Global Debt Report 2025 — About 60% of fixed-rate government debt in advanced economies maturing by 2027 — roughly $9tn — was issued before the recent interest-rate tightening, with weighted average yields below 2% versus projected 10-year rates near 3.6%, implying refinancing at nearly double the original cost. France, Spain, the UK, and the US face heightened vulnerability, with maturing debt exceeding 15% of GDP.
  • The Long-Term Budget Outlook: 2025 to 2055 — The Congressional Budget Office projects the 10-year Treasury note interest rate will average 3.8% over 2025–2055, close to its 3.7% average over the prior three decades, with the inflation-adjusted rate averaging 1.5%. It assesses that long-run rates are largely set by structural factors including demographics, saving and investment behavior, and federal debt.
  • Our Thoughts on Large US Deficits and Their Impact on Bond Yields — Total borrowing in the US is about average despite high government deficits, as high public borrowing has contributed to the need for higher interest rates that have depressed private sector borrowing. Risk premiums on long-dated debt look about average, with no market signs that economic or debt limits are currently being hit.
  • Business Cycle
  • Fiscal Policy
    • Fiscal Deficits
    • Government Spending
  • GDP
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