Edward Conard

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  • “…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
  • “…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
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
  • “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
  • “Unintended Consequences is far smarter and more thought-provoking than most economics written for the general public” - Greg Mankiw, Harvard University, Former Chairman of the Council of Economic Advisors
  • “…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 offers deep and well-argued analyses on almost every issue.” - The New York Times
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
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Short-Term Tax Cuts, Long-Term Stimulus NBER

James Cloyne National Bureau of Economic Research
Date Posted:
July 21, 2022
Is Database:
Database

Corporate income tax cuts lead to significant & persistent increases in R&D spending & productivity, with effects peaking around 8 years post-shock. In contrast, personal income tax cuts yield large but short-lived boosts to output & productivity.

Corporate income tax cuts, while initially modest in impact, lead to significant and persistent increases in R&D spending and productivity, with effects peaking around eight years post-shock. This sustained R&D response is a key driver of long-term GDP growth, as evidenced by a 0.5% increase in real GDP persisting over a decade. In contrast, personal income tax cuts yield large but short-lived boosts to output and productivity, with effects dissipating within two years. The disparity in outcomes is further highlighted by the fact that corporate tax changes have larger long-term effects on GDP and productivity in 93% and 98% of cases, respectively, compared to personal tax changes. This suggests that corporate tax policy is more effective for long-term economic stimulus through its influence on innovation and productivity.

Key Finding, "..Do transitory changes in corporate and personal income taxes have persistent effects on output? And what are the channels?The effects of personal income taxes on output are large and significant during the first six quarters but return to zero within two years. In contrast, a corporate income tax cut generates a smaller stimulus on impact but has larger expansionary effects over the medium- and long-term, with peak effects occurring around eight years after the shock.Variable factor utilization is crucial to produce the short-run response of productivity. While the dynamic effects of personal income taxes are short-lived on productivity and negligible on R&D expenditure, changes in corporate income taxes are associated with a sustained, but temporary, rise in R&D spending and a persistent increase in aggregate productivity. R&D is key for the model’s ability to generate a persistent response of productivity and output following a temporary change in corporate income taxes. A standard New-Keynesian model would not deliver pro-cyclical productivity, thereby missing the estimated output responses to either shock...."
The Evidence

“…Using the approach outlined above, we now present our baseline set of empirical estimates about the longer-term effects of cuts to corporate and personal income taxes. We first focus on the response of the average tax rate, GDP and productivity, with the latter being a key and novel focus of our analysis. We will then extend our empirical evidence to examine investment, R&D and consumption to shed light on the most likely mechanism driving the GDP responses. Each further variable is added to the benchmark data vector Z one at the time to avoid a sharp increase in the number of parameters to be estimated. In Figure 1, we present our first set of main results. The figure contains two columns. On the left, we show the IRFs to a reduction in the average corporate tax rate. On the right, we show the results for a reduction in the average personal tax rate. The impact effect is normalized so that both shocks reduce their respective average tax rate by 1 percentage point in the first period. The solid red lines are the posterior medians and the shaded bands refer to 68% and 90% (Bayesian) credible intervals. Impulse response functions are computed using posterior draws of the coefficients A0 and B1. The solid blue lines come from the estimated structural model that will be presented, solved and estimated in Section 5. The first row in Figure 1 reveals that, following a shock to corporate and personal income taxes, the average tax rates decline temporarily. The change in the average corporate tax rate (first column) loses significance after 8 quarters and goes back to zero after around 20 quarters. The changes in the average personal income tax rate are somewhat less persistent, losing significance after 6 quarters and touching zero after around 16 quarters. Despite the different method (i.e. local projections vs. VAR), these results largely replicate the findings in Figures 2 and 3 of Mertens and Ravn (2013), where the results are plotted for the first 20 quarters. In short, the estimated tax cuts are rather transitory….”

Short-Term Tax Cuts, Long-Term Stimulus NBER: Extended Excerpt Image 1


“…The second row in Figure 1 shows the impulse response functions for the percentage response of real GDP. As expected, the IRFs for the first 20 quarters are very comparable to the main figures in Mertens and Ravn (2013). What is new is our estimate of the longer-term effects beyond quarter 20. Looking at the first column it is clear that, despite the transitory nature of the corporate tax reduction, there are very persistent effects on real GDP, whose short-run increase of 0.5% persists throughout the ten year period shown in the figure. In other words, the corporate income tax cut has disappeared after 5 years, but the effect on the level of economic activity is still sizable and significant after 8 years. The second column, however, reveals that the average personal tax rate cut does not produce such long-lasting dynamics.The underlying personal income tax cut is only slightly more transitory than the corporate tax cut but its effects on GDP are far less persistent and appear to die out already after two to three years after the shock hits. A similar picture emerges for productivity, as shown in the third row of Figure 1. Both tax rate cuts boost productivity on impact, with the size of the initial response to a personal income tax cut being much larger than for a cut to corporate taxes. On the other hand, the effects of corporate tax cuts grow over time and remain significant even after 10 years. In sharp contrast, the response of productivity to a change in personal income tax rates is not statistically different from zero already after two years. The clear difference in the short-run and long-run properties of the two taxes can be illustrated further by looking at the joint posterior distribution of transitory and persistent responses of the variable of interest in Figure 2.The top row refers to GDP while the bottom row represents productivity. We use ‘transitory’ (or shorter-term) to mean the effect estimated within 2 years after the shock, while ‘persistent’ (or longer-term) represents the dynamic effects estimated beyond the two year horizon The horizontal axis shows the response to a corporate tax cut, while the vertical axis shows the associated responses to a personal income tax cut. For the sake of exposition, each panel also reports the 45o degree line, which is the locus of points where the effects of personal and corporate income taxes on the variable of interest are numerically identical. Posterior draws below (above) the 45o degree line indicate a larger impact of corporate (personal) taxes. The share of draws below the 45o degree line, which we denote as δ in Figure 2, can therefore be seen as a measure of the probability that corporate tax changes have larger effects. In Appendix Figure A.2, we show that our flat priors for the LP parameters imply very disperse joint prior distributions for the short-run and long-run effects of the two shocks on GDP and productivity. These joint prior distributions are centered at (0,0). As a result, there is an even chance that the (persistent and transitory) effects of one type of tax will dominate the other. The left column indicates that for only about 6% of posterior draws do corporate income tax changes have larger short-term effects on GDP (top row) and productivity (bottom row) than personal income tax changes. In sharp contrast, the right column of Figure 2 reveals that corporate income tax cuts have significantly larger long-term effects than personal income tax cuts in about 93% of posterior draws for GDP and 98% for productivity. We conclude that the evidence of heterogeneous responses across both forecast horizons and type of income tax in Figure 1 is significant at conventional levels…”

Short-Term Tax Cuts, Long-Term Stimulus NBER: Extended Excerpt Image 2


“…In Appendix A3, we report the responses of Total Factor Productivity (TFP), total hours and employment. Our theoretical model will not, however, feature an extensive margin so the employ- ment IRF will not be used in the structural estimation in Section 5. The three main takeaways from this additional analysis are that: (i) the response of total hours and employment to a corporate income tax cut is typically modest and insignificant; (ii) in contrast, changes in personal income taxes have a significant but short-lived impact on total hours but muted effects on employment; (iii) the effects on TFP are very similar to those based on labour productivity. In summary, in the short-run, the effects of personal income tax changes on output, productivity and hours worked are significantly larger than the effects of corporate income tax changes. Over longer horizons, however, the responses of output and productivity to corporate income tax cuts are large and highly significant. In contrast, the long-run effects of a personal income tax cut are indistinguishable from zero, both in economic and statistical terms. In the next section, we will extend our empirical analysis to investment, R&D expenditure and consumption in an effort to shed light on the possible mechanism behind the heterogeneity documented in Figure 1 and Figure 2….”

The Mechanisms

“….The impulse responses in Figures 1 and 2 replicate the results in Mertens and Ravn (2013) over the first 20 quarters, which is the horizon at which most previous literature stops. On the other hand, we have shown that there are significant longer-term effects of corporate tax cuts that persist beyond the typical IRF horizons presented in earlier work. These persistent dynamics are not, however, evident for the effects of personal tax cuts. In the rest of the paper we investigate what may explain these findings. In this sub-section, we look at a number of additional variables that could offer insights on the transmission mechanism, especially at longer horizons. These are R&D expenditure, investment and consumption expenditure. The endogenous growth literature argues that R&D spending has the potential to generate persistent effects on both output and productivity. On the other hand, studies in the Real Business Cycle tradition emphasize the role of capital expenditure as an important propagation mechanism. Finally, given such longer-term output responses, we would also expect to see persistent effects on household expenditure for corporate tax changes, with short-lived effects from personal tax changes. The findings are reported in Figure 3. The first row shows the impulse responses of R&D expenditure to a corporate tax cut (left column) and to a personal tax cut (right column). The second and third rows show the dynamic effects on investment and consumption respectively. Red lines represent medians and 68% credible sets of the impulse response posterior distributions. Shaded areas refer to 90% central intervals. As discussed in Section 2, each variable is added one at the time to our baseline dataset to avoid a sharp increase in our already richly parameterized local projections….”

Short-Term Tax Cuts, Long-Term Stimulus NBER: Extended Excerpt Image 3


“…The evidence in the first row of Figure 3 suggests that the effects of corporate tax cuts (first column) on R&D are initially negligible but become significant at about one year after the shock. The increase is persistent and reaches a peak of 1.4% at quarter 18 before returning to zero after nine years. The effect also loses significance after six years. The response of investment to corporate tax changes (second row) is equally strong but its significance seems more short-lived. Finally, the consumption profile (third row) is similar to the pattern of the impulse responses of output and productivity in Figure 1.The significant and sustained rise in R&D seems a plausible candidate for explaining the persistent increase in productivity reported in Figure 1. In the next sections, we will explore this conjecture formally by developing and estimating a structural model with endogenous growth via R&D. The estimated effects of a personal income tax cut (second column of Figure 3), paint a different picture. The response of R&D is never statistically different from zero while the change in investment is larger but far more transitory than for corporate tax changes. The effects on R&D and capital expenditure suggests that the sharp and short-lived increase in productivity after a personal income tax cut in Figure 1 does not come from firms’ innovation activities. Later, we show that this is consistent with a short-run labor utilization story. Finally, the response of consumption in the bottom row largely inherits the shape of the GDP profile, as was the case for corporate taxes. This is consistent with the notion that corporate taxes raise labor income persistently, while personal taxes affect incomes only temporarily. In summary, the evidence in this section is consistent with a transmission mechanism in which R&D responds to a corporate tax shock (but not to a personal tax shock) and this triggers an endogenous response of productivity, which in turn drives a persistent effect on GDP. In Appendix Figure 5, we provide further support for this interpretation by looking at sectoral real gross output from the U.S. Bureau of Economic Analysis’s Industrial Accounts. We classify sectors in two groups based on their R&D intensity and estimate the heterogeneous effects of corporate and personal tax cuts. The estimates reveal that the output response to corporate tax changes is significantly larger in sectors with high R&D intensity. In contrast, there is no statistical difference in the output responses of the two groups of sectors to personal tax changes….”

James Cloyne, Joseba Martinez, Haroon Mumtaz and Paolo Surico, “Short-Term Tax Cuts, Long-Term Stimulus,”National Bureau Of Economic Researchhttps://www.nber.org/papers/w30246

  • Business Cycle
  • Fiscal Policy
    • Taxation
  • GDP
    • Growth
  • Productivity
    • Investment
Previous articleJuly 18, 2022Why Canada Should Pay More for MedicationsRemoving price controls in OECD countries could boost new pharmaceuticals by 9-12% by 2030, extending life expectancy for today’s 15-year-olds by up to 1.6 years @RichardOWens @WSJ.Next articleJuly 21, 2022What Boots Talent Development? Examining Predictors Of Academic Growth In Secondary School Among Academically Advanced Youth Across 21 YearsAcademically advanced youth show an average 9-point gain in ACT Composite scores from 7th to 11/12th grade, with growth influenced by demographic & socioeconomic factors.
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
  • GDP
  • Workforce
    • Inequality

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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  • 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
  • GDP
  • Productivity
    • Innovation/Research
    • Investment

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
    • Investment

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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  • Business Cycle
  • Fiscal Policy
    • Fiscal Deficits
    • Government Spending
  • GDP
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