Edward Conard

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  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
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  • “…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
  • “…reminds us that inequality sends a signal of what society lacks most, in America’s case, entrepreneurship and risk taking.” - Lawrence Lindsey, CEO, The Lindsey Group, former Director of the National Economic Council
  • “Unintended Consequences should be read by anyone who takes for granted the superiority of progressive taxation and has not thought carefully about the trade-offs involved.” - The New Republic
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  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
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Technology and the Baby Bust Paradox

AI Summary. Aging societies face structural labor shortages that create permanent incentives to automate, making demographics a long-run driver of AI deployment. Technology-producing economies benefit twice: by offsetting domestic labor scarcity and by exporting automation solutions to every other aging society.

Paul Kedrosky Applied Complexity
Date Posted:
July 7, 2026

Kedrosky argues that labor scarcity may become a “permanent innovation driver” as capital increasingly substitutes for labor, driving automation. “AI adoption may be driven as much by labor scarcity as by breakthroughs in machine learning.”

Does aging drive automation faster than automation solves labor shortages?

Core argument: Technology-producing nations capture dual economic gains—offsetting domestic labor scarcity while exporting automation solutions globally—reinforcing technological concentration among productivity leaders.

[Commenting on Autor's new research, Kedrosky argues] AI adoption will be driven by demographic change. Aging societies create structural incentives to automate. Demographics could become one of the strongest long-run drivers of AI deployment. The economic winners of aging will be technology-producing economies. Countries that develop automation, robotics, and AI may benefit twice. First, by offsetting their own labor shortages. Second, by exporting those technologies to every other aging society. Demographics could reinforce, rather than weaken, technological concentration. Measures of national economies may shift from scale to productivity. If aggregate GDP becomes less useful while output per worker continues to rise, economies may increasingly be judged by productivity, innovation, and living standards rather than by the size of their labor force or total output. Labor scarcity becomes a permanent innovation driver. Tight labor markets cease to be a short-term inflationary problem and instead direct capital toward automation. Persistent worker shortages could accelerate AI adoption across sectors that previously resisted technological change, like healthcare, compressing decades of automation into a few years.

Takeaways by Macro Roundup® AI

  1. Technology-producing nations capture dual economic gains—offsetting domestic labor scarcity while exporting automation solutions globally—reinforcing technological concentration among productivity leaders.
  2. Persistent worker shortages redirect capital toward automation in resistant sectors like healthcare, compressing decades of adoption into years and shifting.

Related Articles:

  • Baby Busts and Growth Booms: Demographic Change and the Macroeconomy — Cross-country evidence from 1950 to 2020 shows that a 1pp lower birth rate is associated with 22 log points (~25%) higher GDP per worker 40 years later and 29…
  • Capital Is Making a Comeback — Btw 1985-2021 the capital intensity of the American economy was relatively flat as a rise in intangible investment was offset by a decline in tangible…
  • The Demographic Outlook: 2026 to 2056 — CBO forecasts US population growth over the next decade will be 0.3% annually. Starting in 2030, net immigration will be the sole driver of population growth…
  • Demographics
  • Productivity
    • Innovation/Research
    • Investment
  • Workforce
Previous articleJuly 7, 2026Baby Busts and Growth Booms: Demographic Change and the MacroeconomyCross-country evidence from 1950 to 2020 shows that a 1pp lower birth rate is associated with 22 log points (~25%) higher GDP per worker 40 years later and 29 log points (~44%) after 60 years, likely driven by labor-saving technical change.Next articleJuly 7, 2026Europe Chose Insurance. America Chose GrowthLustig argues that Krugman is wrong to dismiss concerns about slower European growth relative to the US based on welfare measures: “Europe’s social model is not financed out of consumer surplus; it is financed out of taxable income and taxable profits.”
Showing 101 database articles primarily about Demographics

Terra Incognita: The Economics of a Shrinking World

AI Summary. Global fertility has fallen below replacement level, meaning population will peak at roughly 9 billion around 2056 and then decline, driven by large existing generations masking the underlying shortfall in births.

Jesús Fernández-Villaverde and Patrick Norrick University of Pennsylvania
Date Posted:
August 14, 2026
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The UN appears to systematically overestimate births; e.g. 33 of 37 countries with high-quality statistics registered fewer births in 2024 than the UN had forecast. Fernández-Villaverde and Norrick infer humanity is below replacement fertility in 2026.

Will declining birth rates eventually shrink the global economy?

Core argument: Global fertility has fallen below replacement level as of 2026, ending humanity’s ability to sustain long-run population stability without a reversal in trends.

In Table A1 we compare the World Population Prospects (WPP) estimates of births in 2022-2023 with the official numbers reported by several countries. [A2 shows the full sample with the deviations.] As of 2026, humanity is likely to be below the replacement fertility level: we are having fewer births than we need to keep population constant in the long run. This astonishing fact does not mean that population has stopped growing. Because of momentum effects (the large cohorts of women born two or three decades ago are having their children now, and their own parents have not died yet), world population will keep growing for another 30 years or so. But unless trends change, it will peak at roughly 9 billion around 2056 and then start falling, first slowly, then fast.

Takeaways by Macro Roundup® AI

  1. Global fertility has fallen below replacement level as of 2026, ending humanity’s ability to sustain long-run population stability without a reversal in trends.
  2. Population momentum—driven by large cohorts of women now in peak childbearing years—will sustain growth for roughly 30 more years before world population peaks at approximately 9 billion around 2056 and begins declining.

Related Articles:

  • The Demographic Future of Humanity: Facts and Consequences — The world’s 2024 total fertility rate (TFR) was likely ~2.17, below the replacement rate of 2.21, notes Jesús Fernández-Villaverde, intensifying…
  • Depopulation Globally and in the Asia-Pacific: The Shape of Things to Come — Nicholas Eberstadt warns that depopulation will stress families as smaller families “become ever less able to bear weight—even as the demands that might…
  • The Wealth of Working Nations — Japan achieved GDP growth per working-age adult of 31.9% between 1998 and 2019, slightly faster than the US at 29.5%. @King_ofSweden
  • Demographics
  • GDP
    • Growth
  • Science
    • Global Warming
  • Workforce
    • Family/Marriage

Americans Are Done With Being Put in Racial Boxes

AI Summary. Intermarriage across racial and ethnic lines is rising across all major demographic groups in the United States, producing a growing share of the population that does not fit neatly into any single government-defined racial or ethnic category.

Justin Fox Bloomberg
Date Posted:
July 21, 2026
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Less than half of Americans < 29 years old are non-Hispanic whites. As of 2020, 33.8mm Americans – 10.2% of the population – identify as being of two or more races, largely driven by intermarriage between whites and either Hispanics or Asian Americans.

Is the traditional racial classification system becoming obsolete?

Core argument: Post-1960s immigration from Asia and Latin America is the primary driver of rising U.S. demographic diversity and the declining non-Hispanic White population share.

The increase in immigration from Asia and Latin America since the 1960s has been the chief driver of the rise in diversity and decline in the non-Hispanic White share of the population. But those immigrants have been doing what generations of immigrants before them did and, well, becoming Americans. Marriages across racial and ethnic lines are much more prevalent among Hispanic and Asian Americans than Black or non-Hispanic White Americans, while intermarriage rates have been rising steadily for the latter two groups, too. As a result, a growing share of Americans just isn’t going to fit neatly into any single racial or ethnic category that the US government can come up with.

Takeaways by Macro Roundup® AI

  1. Post-1960s immigration from Asia and Latin America is the primary driver of rising U.S. demographic diversity and the declining non-Hispanic White population share.
  2. Intermarriage rates among Hispanic and Asian Americans exceed those of Black and non-Hispanic White Americans, expanding a multiracial population that no single government racial category can accurately capture.

Related Articles:

  • Do Adults Have the Skills They Need to Thrive in a Changing World? — The 2023 OECD Survey of Adult Skills reveals the US has ~ 3 low-scorers for every high-scorer. Germany has nearly 3X as many high-scorers per low-scorer as the…
  • Do Past Wealth Gaps Explain Modern Inequality? Evidence From Immigration To The United States — European immigrants who arrived with nearly no wealth converged to similar wealth levels as earlier European settlers within a few generations, while Black, Cuban, Mexican, and Puerto Rican households remained substantially behind, indicating that initial wealth gaps do not uniformly predict long-run inequality across all groups.
  • America’s Immigration Mess: An Illustrated Guide — The US foreign-born population reached 51.4mm, or 15.4% of the population in 2024, Nicholas Eberstad notes, surpassing the prior peak of 14.8% set in 1890.
  • Demographics
  • Politics
  • Workforce
    • Immigration

The Pig In The Python: US Decennial Labor Flows And Economic Opportunity, 1910–2040

AI Summary. A surge in labor force entrants during the 1970s created a persistent worker glut that suppressed wages and hiring demand for decades, as the oversupply remained embedded in the workforce until retirement rather than dissipating at entry.

Steven Ruggles Proceedings of the National Academy of Sciences
Date Posted:
July 14, 2026
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Accounting for both inflows and the overhang of previous labor market entrants, Ruggles predicts a labor shortage such that “Americans born in the 2020s might be the first cohort in a half century that earns significantly more than their parents did.”

Does a one-time labor surge create permanent wage pressure?

Core argument: Baby-boom labor-force entry during 1960–1980 suppressed young-worker wages, which declined sharply after peaking in 1973, reducing economic opportunity for new.

Figure 3A highlights the influx of workers that occurred between 1960 and 1980, as the large baby-boom cohort entered the labor force, female labor-force participation expanded, and immigration rose [see Figure 2 for a detailed breakdown]. It was difficult for the economy to absorb all the new workers, and wages for young people declined sharply after peaking in 1973. Figure 3A does not, however, provide a valid measure of labor-market competition because the baby boomers and newly employed women and immigrants did not suddenly vanish after they entered the labor force; they kept working and occupying jobs until they eventually retired decades later. The glut of workers entering the labor force in the 1970s would continue to stifle demand for new workers until their eventual exit from the labor force, a process that is still in progress. The index of employment competition shown in Figure 3B is [a better] measure of relative cohort size than 3A. It represents the cumulative net labor-market entries over the previous five decades as a % of the working-age population in the current decade. As shown in Figure 1C, we are already seeing signs of an uptick in the wages of young workers, and as the demographic shortage accelerates we may finally see real wages of the young exceed the levels of the early 1970s.

Takeaways by Macro Roundup® AI

  1. Baby-boom labor-force entry during 1960–1980 suppressed young-worker wages, which declined sharply after peaking in 1973, reducing economic opportunity for new.
  2. Cumulative labor-market entries over five decades as a % of working-age population drives employment competition that persists decades after initial.
  3. Female labor-force participation expansion and immigration during 1960–1980 created a sustained worker glut that stifled demand for new employment until.

Related Articles:

  • Baby Busts and Growth Booms: Demographic Change and the Macroeconomy — Cross-country evidence from 1950 to 2020 shows that a 1pp lower birth rate is associated with 22 log points (~25%) higher GDP per worker 40 years later and 29…
  • Technology and the Baby Bust Paradox — Aging societies face structural labor shortages that create permanent incentives to automate, making demographics a long-run driver of AI deployment. Technology-producing economies benefit twice: by offsetting domestic labor scarcity and by exporting automation solutions to every other aging society.
  • Can A Depopulating America Still Flourish? — Eberstadt finds as of the summer of 2025 ~7mm American men 25–54 were not in the labor force. Despite record high prime age female LFP, ~3.5mm prime age women…
  • Demographics
  • Workforce
    • Immigration
    • Unemployment/Participation
    • Wages/Income

Baby Busts and Growth Booms: Demographic Change and the Macroeconomy

Daron Acemoglu, David Autor, Keelan Beirne and Andrew Scott National Bureau of Economic Research
Date Posted:
July 7, 2026
Is Database:
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Cross-country evidence from 1950 to 2020 shows that a 1pp lower birth rate is associated with 22 log points (~25%) higher GDP per worker 40 years later and 29 log points (~44%) after 60 years, likely driven by labor-saving technical change.

Figure 3 traces out how GDP per worker evolves following a 1pp increase in birth rates at t−20. Since cohorts born at t−20 (e.g., 1970) do not enter the working-age population until t = 0 (e.g., 1990), we should observe no response before t = 0; [indeed] the estimated coefficients are ~0 and statistically insignificant before t = 0. Beginning at t = 0, however, higher birth rates are associated with lower GDP per worker, and the negative effects grow progressively larger over time. For example, a 1pp lower birth rate at t−20 is associated with 22 log points higher GDP per worker at t+20 and 29 log points higher by t+40. The latter corresponds to roughly 0.73 percentage points faster annual growth over the 40-year interval. We find that lower birth rates are associated with more labor-saving patents and a growing share of high-tech industries across countries and US commuting zones [Figure 11]. They are also predictive of higher TFP growth across countries and US industries and increased patenting in ICT and broader automation technology classes. Using cross-country variation in WWII-era military and civilian deaths, we present suggestive evidence that the positive growth effects of falling birth rates are primarily driven by the scarcity of younger workers rather than by reductions in population per se [Figure 14]. [Editor’s note: the paper does not grapple with the fiscal consequences of an aging population.]

Related Articles:

  • Can A Depopulating America Still Flourish? — Eberstadt finds as of the summer of 2025 ~7mm American men 25–54 were not in the labor force. Despite record high prime age female LFP, ~3.5mm prime age women…
  • Capital Is Making a Comeback — Btw 1985-2021 the capital intensity of the American economy was relatively flat as a rise in intangible investment was offset by a decline in tangible…
  • America Is Missing The New Labor Economy – Robotics Part 1 — While higher US labor costs create a greater incentive to automate, @dylan522p argues China is the only country currently positioned to achieve full-scale…
  • Demographics
  • GDP
    • Growth
  • Workforce

What Demographic Prediction Can and Cannot Achieve

AI Summary. Population forecasts are dominated by model choice, not parameter uncertainty, with model selection accounting for up to 98% of output variance across projections. Different modeling approaches produce wildly divergent outcomes—from under 4bn to over 15bn people by 2075—making demographic projections tools for exploring possibilities rather than reliable predictions.

Samuele Lo Piano, Marta Kuc-Czarnecka, Roger Pielke, and Andrea Saltelli Social Science Research Network
Date Posted:
May 29, 2026
Is Database:
Database

Simulation of the decision chain yielding projections of world population in 2050 that range from 6 to 14B suggests most of the variance in demographic forecasts arises not from parameter uncertainty or data randomness but from model choice.

How much do demographic models actually predict versus explore?

Core argument: Model choice accounts for 98% of output variance in 2050 global population projections, driving divergent forecasts ranging from 4–25 billion.

We explore demographic predictions by propagating all plausible choices that can be made during the analysis through the modelling process. This approach involves navigating the so-called ’garden of forking paths’—mimicking in silico what would happen if multiple investigators were to examine the same problem. For this, we now abandon [the Chinese government mathematician] Song Jian’s ‘historic’ model and turn to models currently in use: the Cohort-Component and UN WPP models, the Lee-Carter model and the Lotka-Volterra model. Note that in standard use, these tools are used in isolation, see e.g. the FAO’s How to Feed the World in 2050, resting on a single UN WPP population trajectory shielding the reader from the compounding effect of their uncertainty. Unsurprisingly, the exercise capturing the modelling of the modelling process for global population projections to 2050 and 2075 reveals distinct characteristics regarding the sensitivity and projection outcomes of the different models. Once abandoned the straitjacket of Song’s approach, uncertainty is free to manifest itself. The overall uncertainty distributions of the projected populations show a wide range of possible outcomes, reflecting the inherent uncertainties in demographic projections.

Takeaways by Macro Roundup® AI

  1. Model choice accounts for 98% of output variance in 2050 global population projections, driving divergent forecasts ranging from 4–25 billion.
  2. Song Jian’s optimization model converges to 700 million people by 2080 across all parameter variations (670–700 million range), demonstrating structural.
  3. Global fertility declined from 5 children per woman in 1950 to 2.1 currently, with no rebound in countries where rates.

Related Articles:

  • The Demographic Future of Humanity: Facts and Consequences — The world’s 2024 total fertility rate (TFR) was likely ~2.17, below the replacement rate of 2.21, notes Jesús Fernández-Villaverde, intensifying…
  • World Depopulation: Prospects and Implications — Nicholas Eberstadt @AEIecon argues that given its relatively high fertility rate relative to both East Asia and Europe, the US is primed to be the…
  • Take the Under — .@RogerPielkeJr argues that more realistic projections of global population and GDP growth suggest that “even partial future policy successes could more easily…
  • Demographics
  • Science
    • Global Warming
  • Workforce
    • Family/Marriage

The Midwest's Brain Drain Is Accelerating

AI Summary. The Midwest's brain drain is intensifying, with the income gap between those leaving and those arriving tripling from $5.6K to $15.6K (in real terms), while college-educated adults now make up 57% of out-migrants, up from 40% two decades ago.

Aziz Sunderji Home Economics
Date Posted:
May 13, 2026
Is Database:
Database
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Important

The “Brain Drain” is ongoing in the Midwest. The fraction of adult out-migrants with at least a bachelor’s degree is now 57%, up from ~40% in 2005. “It’s the most educated and highest-earning that are still leaving in droves.”

What factors are driving the Midwest's accelerating brain drain?

Core argument: Illinois high-earner out-migration surged +54K annually (2014–15 to 2023–24) while low-earner departures fell -104K, driving regional brain drain toward higher-income.

Take Illinois, the most populous Midwestern state: my analysis of Census Bureau microdata shows that between 2014–15 and 2023–24, annual out-migration by households earning under $50K fell by 104K. Out-migration by Illinois households earning over $200K rose by 54K over the same period. Across the region, the trend along educational lines is the same: the bachelor’s-or-higher share of adult out-migrants is now 57%, up from around 40% in 2005. It’s the most educated and highest-earning that are still leaving in droves.

Takeaways by Macro Roundup® AI

  1. Illinois high-earner out-migration surged +54K annually (2014–15 to 2023–24) while low-earner departures fell -104K, driving regional brain drain toward higher-income.
  2. The Midwest’s leaver premium nearly tripled from $5.6K to $15.6K (2005–07 to 2022–24), indicating departing households earn substantially more than.
  3. Bachelor’s-or-higher share of out-migrants reached 57% vs. 40% in 2005, showing education-driven exodus leads to reduced regional human capital and.

Related Articles:

  • Housing and the American Worker — In 2019, urban wages for workers with a high school degree or less failed to offset higher urban housing costs, reversing a long-term trend. @stanveuger…
  • Where is Standard of Living the Highest? Local Prices and the Geography of Consumption — For non-college Americans, high local prices mean lower living standards. “A high school drop-out household moving from the least expensive commuting zone to…
  • The Determinants Of Declining Internal Migration — The decline in internal migration in the US has been driven by increasing housing prices; potential wage gains from migration are being offset by…
  • Demographics
  • GDP
    • Housing
  • Workforce
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