Edward Conard

Top Ten New York Times Bestselling Author

  • “A full-throated defense of economic dynamism.” - The Wall Street Journal
  • “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
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “…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 fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “There are an amazing number of good ideas and interesting points made in Unintended Consequences. The thinking underlying it, and the obvious depth of understanding of the author, are very impressive.” - Steven Levitt, coauthor of Freakonomics; 2004 John Bates Clark Medal
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “…a comprehensive explanation of the modern economy.” - Julian Robertson, Founder, Tiger Management
  • “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
  • “Unintended Consequences provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.” - Nouriel Roubini, New York University; Chairman, Roubini Global Economics
Upside of Inequality Oxford Unintended Consequences
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Tuesday, January 15, 2019

Urban Low-Education Workers Face Declining Real Wages Amid Rising Rents

AI Summary. Full-time hourly wages for workers with a high school education or less have fallen, particularly in metro and urban areas, even as wages rose across the broader distribution. Rising urban rents, attributed to low-skilled immigration and high-skilled workers' success, mean after-rent real earnings for lower-skilled urban workers may be lower than they appear.

David Autor N/A
Date Posted:
January 15, 2019
Is Database:
Database

David Autor’s analysis highlights a decline in full-time hourly wages for workers with high school or lower education, particularly in metro and urban areas, exacerbated by rising rental prices.

Are urban low-education workers' real wages falling once rents are counted?

Core argument: David Autor's analysis finds full-time hourly wages for workers with high school education or less have declined, especially in metro and urban areas, even as wages rise across the broader distribution.

David Autor's analysis highlights a decline in full-time hourly wages for workers with high school or lower education, particularly in metro and urban areas, exacerbated by rising rental prices. Despite a smaller share of working-age adults with only high school education in 2015 compared to 1980, the wage levels for low-education workers have fallen, even as wages generally rise across the broader distribution. This trend suggests that after accounting for rent, the real earnings of middle and lower-skilled urban workers may be lower than they appear. The influx of low-skilled immigrants and the success of high-skilled workers have driven up urban real estate values, further impacting after-rent incomes. Autor's work underscores the complex interplay between education, urbanization, and income distribution, raising questions about the economic viability of urban living for lower-paid workers and the broader implications for income inequality.

Takeaways by Macro Roundup® AI

  1. David Autor's analysis finds full-time hourly wages for workers with high school education or less have declined, especially in metro and urban areas, even as wages rise across the broader distribution.
  2. Autor notes the share of working-age adults with only a high school education was smaller in 2015 than in 1980, yet wage levels for low-education workers still fell.
  3. Autor attributes rising urban real estate values partly to an influx of low-skilled immigrants and the success of high-skilled workers, suggesting that after-rent real earnings of middle- and lower-skilled urban workers may be lower than they appear.

Autor Comment 2/2:My data suggest a fall in full-time hourly wages for workers with high school or lower education concentrated in metro + urban areas. Accounting for rising rental price in these areas would definitely accentuate this trend. But a substantially smaller share of working-age adults have high school or lower education in 2015 than did in 1980 (see below). So one could have falling wage levels for low education workers with generally rising wages across the unconditional distribution.

If you are willing to write a blurb, I would need it by June 13th. (Time is short but luckily the introductions and conclusions to each chapter convey 80% of the content with 20% of the words.)

No reader will agree with all of my conclusions. Hopefully, your blurb can carve its way to common ground between us. Of my last book for example, Andrei Shleifer chose a point he agreed with strongly and wrote: “Edward Conard’s book represents the most cogent and persuasive analysis of the financial crisis to date. It is deeper and likely more accurate than what we have seen so far from journalists, academics, and particularly former government officials.” Nouriel Roubini, who sits on the opposite side of the aisle from me, wrote: “Edward Conard provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.”

I know my views on trade and immigration are somewhat controversial, but I hope you will agree that I have written a serious book about conservative economics that addresses opposing sides of each issue fairly.

Throughout the book, I argue that properly trained talent and the economy’s capacity and willingness to take risk now constrain growth. If that’s true, then spreading these constrained (American) resources over more low-skilled workers (i.e., immigrant and offshore workers) ought to slow American low-wage wage growth relative to the rest of the economy. From my perspective, your recent work documents the downstream effects of the upstream structural forces my book tries to describe.

My second book, The Upside of Inequality: How Good Intentions Undermine the Middle Class(attached), is slated for publication September 13th. I would be honored if you would take the time to read the book and consider blurbing it.

David,

David

Thanks for the invite. I’ll give this some thought, and will try to find time to read the Intro and Conclusion, seeking inspiration for a blurb. No promises, but I appreciate your reaching out. And congratulations again on the second book!

Hi Ed,

Pages 7-14, 185-192, and 260-262 summarize the the book’s arguments more broadly.

Thank you for considering this. Despite the provocative title, I hope you find the arguments carefully considered even if you disagree with some of them. Your work is quote on page 57 in Chapter 2.

book! I enjoyed it thoroughly. It stimulated a whole set of new ideas in me."

Tyler Cowen offered to write a book review if I didn't need his blurb but privately said: "Great

Others are still reading (I hope!), but Glenn Hubbard said: “This provocative new book by Ed Conard is a must-read for serious students of economic policy. Conard’s core thesis—that advancement in living standards is constrained by risk capital and properly trained talent—suggests an inequality borne of returns from innovation. Many of his arguments will rankle either the left or the right, but his solutions are sensible and all the more compelling in the context of this paean to risk taking.”

Mitt Romney said: "Page after page, Conard challenges conventional wisdom about the causes of growing inequality, the constraints to growth, and the feasibility of commonly proposed solutions to advance a thought-provoking blueprint for growing middle- and working-class incomes in a world with an abundance of workers. Whether you agree or not, this is serious thinking for serious thinkers."

Any chance of you blurbing my book? I would be honored to include it but I would need it by Monday, so its down to the wire. Again, thank you for considering this.

Associate Department Head

Professor of Economics and

David

Best wishes,

I am hoping to get to it this weekend. But I cannot promise as I’m dealing simultaneously with many external and familial deadlines.

Dear Ed,

I understand. Thank you. If you do take the time, I hope you will see that even if you disagree with some of it, all of the arguments are well within the boundaries of serious economic thought.

Let me finally say that I’d be more than glad to find time when we are in the same city for a serious discussion of these issues. I’m no more of a fan of Piketty’s book than you are, and I think the single-minded focus on the 1% is misguided and counterproductive (indeed, I made that argument in a 2014 article inScience). I’m strongly opposed to vilifying success, and I’m strongly in favor of investing in skills. So, I’m sure we’d have much to discuss. No action required of course.

Given the above, I’m sort of a loss for a blurb that would be particularly useful for your book. I feel that if I endorsed one part of the argument (“rightly rejects the unsupported claim that the top 1% are the cause of all our troubles”), I’d want to qualify that with (“but asserts that they are in fact that cause of most of our prosperity, which is also unsupported”). But at least you can be sure that I did spend the time to take the book seriously.

I agree that the U.S. cultural of entrepreneurialism is fabulously important and a unique national asset. I concur that those who assert that the top 1% are “the cause” of stagnant median incomes and, moreover, are mostly a bunch of crony capitalists have no real evidentiary ground to stand on. But similarly, I’d say the claim that the top 1% are the key drivers of U.S. economic growth, or that taxing them more would have strongly deleterious consequences on further growth prospects, is equally unsupported by high quality evidence. (And to the extent that a substantial share of top 1% incomes derives from purely from exotic financial innovations, I think the claims are especially dubious.) Fundamentally, it is extremely hard to rigorously assess the marginal social product of the top 1%. Similarly, it is extraordinarily difficult to definitively assess the role that taxation plays in hindering or fostering entrepreneurship in the U.S. Pundits who claim that they definitely “know” the answers to these questions are either intellectually dishonest, self-deluded, or just sycophants.

As another example, the U.S. has not had better per capita growth performance than other rich countries to the best of my understanding. And most of the reason that the U.S. has higher median incomes than other rich countries is that U.S. households work more hours, not because U.S. workers and companies are more productive per hour (Japan is an exception: high hours, low productivity, though a lot of those ‘hours’ are really on the job recreation). Median income growth in the U.S. really has been quite stagnant, and real wages have fallen by more here among low-skilled workers than in almost any other advanced country.

I read the pages that you recommended, and I believe that I’ve gotten the gist of the book. I’m having trouble producing a blurb because I’m not persuaded by the arguments and — at the risk of giving offense, and taking it on faith that you’d prefer a candid answer — I do not think they are well supported by the evidence. Sure, it’s uncontroversial and doubtless correct to say that North Korea is a failed economic experiment and South Korea a successful one, but this tells us little about whether it is Germany or the U.S. that has too much or too little taxation, redistribution, or public investment.

Dear Ed,

 

PS I'd love to stop by and see you in Boston, or take you out for an A+ meal if/when you are in New York.

Again, thank you for taking the time to read/consider this.

You may not have read enough to buy/see all that, but how about giving the same (unsolicited) blurb Greg Mankiw gave my first book: "this book is more thoughtful than most economic books written for popular audiences."

Ultimately, this is a popular book, not an academic book, that express a point of view, explains why I have drawn the conclusions I have, (endeavors to) fairly explains the opposing points of view, and modulates my certianty in the body of chapters, albeit less so when I am expressing my own conclusions at the end of each chapter (mainly what you read). I warn readers that economists often work backward from their conclusions to a set of unprovable beleifs, that academics have gradually narrowed the boundaries of those beliefs, and that I have endeavored to stay within those boundaries.

As well US employment has grown 50% since 1980--2x Germany and France, 3x Japan. And the US has been more successful integrating immigrants and low socioeconomic workers.

Below-the median, America has provided a home for 55 million lesser-skilled Hispanics. US academic test score are lower. 20% of US student are low socioeconomic status vs 15% in high-wage Europe. Longer hours, yonger workers, lower unemployment rates, more women, and more first-generation immigrants all indicate a lower US marginal product of labor. And still the median is as higher or higher than high-wage Europe..

I think it's generous, however, to say Europe performs as well as the US, despite your per hour argument. Europe's productivity is pulled up by US innovation. The pay of above-the-median US workers relative to Europe is much higher than the median worker, higher still for Scandinavian-Americans, Asian-American, and other statistically significant demographics for which we have data. Similarly, high IQ US workers earn more (per your article in Science) than their counterparts elsewhere.

I warn readers that even if Europe cut taxes, it would take decades to build the institutional capabilities necessary to close this gap, and that Europe may never be able to close it (unless different technologies become the primary driver of growth). I concede that America's success could be the result of economies of scale. And I say that cutting US taxes would blow a huge hole in the deficit. I even mock Republicans who sell tax cuts by overpromising immediate growth. (And I propse swapping a lower corporate tax rate for a higher capital gains rate = the ordinary income rate to avoid enlarging the deficit). I also criticize Diamond and Saez for assuming the long term effects of lower taxes are zero with no confidnce interval whatsoever.

I do argue that relatively higher risk-adjusted payoffs for risk-taking motivates increased risk-taking, although I'm careful not to attribute higher payoffs to lower taxes but rather to a gradually compounding feedback loop where successful risk-taking creates companies like Google and Facebook that give US workers relatively more valuable on the job training. (I argue that) This coalesces into communities of experts, like Silicon Valley with synergistic and spillover benefits. It also put risk-bearing capital into the hands of investors with inside knowledge/expertise. Together these institutional capabilities increase risk-adjusted returns. The success of others also raises the bar for status. In turn, talent is more motivated to get the training and take the risks that produce innovation.

Nevertheless, I agree that the data on incentives is inconclusive, but largely because there simply aren't enough data points (although I think the evidence on the other side of the debate--economies with high taxes that have significantly outperformed their true peers--is asymmetrically thin).

I don't see incentives as the central thesis of the book. I see binding constraints as the core thesis--i.e., the economy's capacity and willingness to take risk, namely it's equity, and properly trained talent (2 sides of the same coin), and not labor or (risk-averse) savings, where economists (who don't acknowledge these constraints) tells displaced workers that competition between opportunistic entrepreneurs and other investors will restore capital per work, productivity, and wages, when the entrepreneurs have move to California and outsourced the blue collar jobs to Foxcom.

Thank you for taking a look.

Associate Department Head

Professor of Economics and

David

Hope that’s not prolix. Other deadlines call, but I know you needed a reply today.

“Conard makes a fresh argument for the productive value of inequality, which is that scarce entrepreneurial effort and risk-tolerant capital are the resources that are both most central to economic growth and most sensitive to the potential distortions imposed by taxation and regulation. Whether or not one accepts this argument, it’s an argument well worth having.”

Blurb wise, how about:

Yes, I’d be delighted to get together in either NYC or Cambridge, MA. Let’s look for an opportunity.

Dear Ed,

I also wondered about the “after-rent” wages of middle-skilled (and lower-skilled) urban workers. I believe/guess those workers are largely paid more to cover the higher cost of urban real estate, but that little of their incrementally higher pay ends up in their pocket after paying their incrementally higher rent. With the growing success of the most successful workers (and an influx of low-skilled immigrants willing to work for low wages) bidding up the value of urban real estate, it’s not hard to imagine the urban after-rent wages (and the other non-pecuniary costs of urban living for lower-paid workers) of middle and lower-skilled urban workers is not as high as it appears to be and might even be lower today than it has been.

I’m sure I’m not the first person to ask this question after watching your presentation, but I couldn’t help but wonder how the distribution of income by population density has changed over time independent of educational attainment. I’m skeptical that a college education creates much value for middle-skilled students (except where it provides technical training like nursing). If that’s true, then the pool of middle-skilled workers might have sorted into more talented workers with previously higher wages on average whose successive generations now earn college degrees but don’t earn more money (relative to the overall distribution of income, which has shifted upward within most statistically significant demographics, and partially downward from a mix shift to lesser paid demographics) but who now appear in your higher educated pool, and lesser-skilled workers who remain in the middle pool but appear to have lower wages on average, once the more talented middle-skilled workers are no longer included in the average of that pool. Seeing the changing distribution of income by population density independent of educational attainment would make that easier to adjudicate.

I watched your AEA presentation (as I do all your work). I am still pondering its implications. I appreciate this work and all your extraordinary contributions.

Ed Comment 1/2:

David

Best,

Good Q's, of course!

Sorry for the run-on sentences. As usual, your high-quality work has been on my mind. Thanks for that.

Yes, that only makes the story more troubling. No question that cost of living has risen faster in urban areas than elsewhere. So the declining non-COL urban wage gradient for non-college workers portends an even steeper fall in COL-adjusted real earnings for non-college workers in these places.

I also wondered about the “after-rent” wages of middle-skilled (and lower-skilled) urban workers. I believe/guess those workers are largely paid more to cover the higher cost of urban real estate, but that little of their incrementally higher pay ends up in their pocket after paying their incrementally higher rent. With the growing success of the most successful workers (and an influx of low-skilled immigrants willing to work for low wages) bidding up the value of urban real estate, it’s not hard to imagine the urban after-rent wages (and the other non-pecuniary costs of urban living for lower-paid workers) of middle and lower-skilled urban workers is not as high as it appears to be and might even be lower today than it has been.

I'm sure thataverageincomes have risen more in urban areas. I mean, they have to have. Urban areas have become much more highly skilled, high skill wages have increased, and they've increased by more in urban areas. Perhaps this will help. I'm attaching two plots of real mean log wages by five exhaustive and mutually exclusive education categories. The "1950" plot covers from 1950 to 2015. The 1980 plot covers 1980 to 2015 with more intervening years plotted (1980, 1990, 2000, 2007 2015).

I’m sure I’m not the first person to ask this question after watching your presentation, but I couldn’t help but wonder how the distribution of income by population density has changed over time independent of educational attainment. I’m skeptical that a college education creates much value for middle-skilled students (except where it provides technical training like nursing). If that’s true, then the pool of middle-skilled workers might have sorted into more talented workers with previously higher wages on average whose successive generations now earn college degrees but don’t earn more money (relative to the overall distribution of income, which has shifted upward within most statistically significant demographics, and partially downward from a mix shift to lesser paid demographics) but who now appear in your higher educated pool, and lesser-skilled workers who remain in the middle pool but appear to have lower wages on average, once the more talented middle-skilled workers are no longer included in the average of that pool. Seeing the changing distribution of income by population density independent of educational attainment would make that easier to adjudicate.

Dear Ed, Thanks for your message and for your Q's. I'm going to respondvbriefly because I'm under an urgent deadline towrite upthat Ely Lecture for the AEA conference publication.

Autor Comment 1/2:

Ed Comment 2/2:David,Thank you. No need to respond to this. I read your presentation as suggesting cities have contributed to a hollowing out the middle class. I suspect the rising price of urban real estate prices may make that true (for after-rent incomes). But I didn’t find much change to America’s distribution of income, just an upward shift (see attached). Perhaps middle-class Americas are just moving to locations where they can find higher standards of living. I can’t help but wonder how the choice of bookends (e.g., income or educational attainment) creates theappearance of a hollowing out. Anyway, I greatly appreciate your contributions.

  • Test Scores
  • GDP
    • Housing
  • Productivity
    • Workforce Reorganization
      • High vs Low Skill
      • Urban vs Rural
  • Workforce
    • Education
      • College
      • K-12
    • Wages/Income

Taxation and Innovation in the 20th Century

AI Summary. The authors estimate that inventors are less likely to locate in U.S. states with higher taxes, with an elasticity to the after-tax income share of 0.11 for local inventors and 1.23 for non-local inventors. Both personal and corporate taxes are associated with the quantity and quality of innovation, though existing clusters of innovation reduce tax sensitivity.

Stefanie Stantcheva National Bureau of Economic Research
Date Posted:
January 15, 2019
Is Database:
Database
Is Important:
Important

Inventors are significantly less likely to locate in states with higher taxes, with an elasticity to the net-of-tax rate of 0.11 for local inventors and 1.23 for non-local inventors.

Inventors are significantly less likely to locate in states with higher taxes, with an elasticity to the net-of-tax rate of...

Do higher state taxes reduce where inventors locate and innovate?

Core argument: Inventors are less likely to locate in states with higher taxes, with an estimated elasticity to the net-of-tax rate of 0.11 for local inventors and 1.23 for non-local inventors.

Inventors are significantly less likely to locate in states with higher taxes, with an elasticity to the net-of-tax rate of 0.11 for local inventors and 1.23 for non-local inventors. Corporate inventors show high sensitivity to taxes, impacting both the quantity and quality of innovation. Agglomeration effects mitigate tax sensitivity when innovation is already present in a state. Both personal and corporate taxes influence innovation at macro and micro levels, affecting location decisions and innovation quality. The effects are economically large, with cross-state spillovers and extensive margin decisions compounding individual elasticities. The study highlights the importance of understanding tax impacts on innovation, suggesting that optimal tax formulas should consider these elasticities to balance efficiency costs against revenue gains.

Takeaways by Macro Roundup® AI

  1. Inventors are less likely to locate in states with higher taxes, with an estimated elasticity to the net-of-tax rate of 0.11 for local inventors and 1.23 for non-local inventors.
  2. Corporate inventors are highly sensitive to taxes, with personal and corporate taxes affecting the quantity and quality of innovation, while agglomeration effects mitigate tax sensitivity where innovation is already present.
  3. The estimated effects are economically large, with cross-state spillovers and extensive margin decisions compounding individual elasticities, and optimal tax formulas should weigh these elasticities against revenue gains.

"... We find that inventors are significantly less likely to locate in states with higher taxes. The elasticity to the net-of-tax rate of the number of inventors residing in a state is 0.11 for inventors who are from that state and 1.23 for inventors not from that state. Inventors who work for companies are particularly elastic to taxes. Agglomeration effects appear to matter for location as well: inventors are less sensitive to taxation in a potential destination state when there is already more innovation in that state in their particular field of inventive activity. This is also true if an inventor's employer already has a record of innovation activity in that state.We confirm that firms are responsive to corporate taxes when choosing where to locate by estimating a location choice model at the individual R&D lab level. Our main findings can therefore be summarized as follows. Taxation in the form of both personal income taxes and corporate income taxes matters for innovation along the intensive and extensive margins, and both at the micro and macro levels. Taxes affect the amount of innovation, the quality of innovation, and the location of inventive activity. The effects are economically large especially at the macro state-level, where cross-state spillovers and extensive margin location and entry decisions compound the micro, individual-level elasticities. Not all the effects of taxes at the macro-level are accounted for by cross-state business stealing or spillovers. Corporate inventors are most sensitive to taxation; and positive agglomeration effects play an important role, perhaps in offering a type of compensating differential for taxation.......We have studied the effects of personal and corporate income taxes on innovation in the United States during the 20th century using a series of newly constructed datasets. Our data is sufficiently wide-ranging that we can consider both inventors and firms engaged in inventive activity over a long time period, and we can exploit the numerous changes to the U.S. tax code taking place over the 20th century. We document the effect of taxes at the macro (state) and micro (inventors and firm) levels and attempt to identify the estimates empirically. We find that both personal and corporate taxes matter for innovation. The quantity, quality, and the location of innovation are all affected by the tax system and the effects are quantitatively important. In addition to being able to document and identify these important responses to taxation, our estimates can help calibrate the tax elasticities needed in optimal tax formulas for labor or capital income (see Saez (2001) and Saez and Stantcheva (2018)), as well as quantify the efficiency costs of taxation, which are traded off against the revenue gains. Furthermore, our empirical evidence provides a sense of how firms and inventors respond to the net return to innovation, and not only to tax rates, which are merely a component of that economic calculation. In future work, it would be fruitful to compare the U.S. experience to other countries, historically and contemporaneously. That would require a major data collection effort, as we have undertaken for the U.S., but our analysis highlights the benefits of such investments. Currently we know very little about the impact of taxation on innovation over long time horizons, and our analysis is therefore an important first-step in building a better understanding of a relationship that is critical in policy discussions. While our estimates show that the state-level effects of taxes are not purely due to zero-sum business-stealing, it is still an open question as to how the federal tax rate affects national-level innovation in the U.S., when taking into account the international mobility of inventors, firms and intellectual property. An answer to that question is central to a fuller understanding of a tax regime’s real impact...."
Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva, "Taxation and Innovation in the 20th Century," National Bureau of Economic Research, September 2018, http://www.nber.org/papers/w24982

Stantcheva is a frequent Saez collaborator

  • Historical
  • Comparisons
    • No Comparison
  • Fiscal Policy
    • Taxation
  • Productivity
    • Incentives/Risk-Taking
    • Innovation/Research
    • Investment

The Effect of State Taxes on the Geographical Location of Top Earners: Evidence from Star Scientists

AI Summary. The authors estimate a long-run elasticity of star scientists' location with respect to state personal income taxes of 1.7, implying lower top tax rates are associated with larger net inflows of top scientific talent. They estimate New York's cut in the top personal income tax rate from 7.5% to 6.85% raised net inflows about 3% annually.

Enrico Moretti American Economic Review
Date Posted:
January 15, 2019
Is Database:
Database
Is Important:
Important

NY State cutting personal income tax rate on top 1% of earners in 2006 increased net inflow of star scientists to NYS by +3% a year.

Do state income taxes influence where top scientists locate?

Core argument: Star scientists show a long-run mobility elasticity of 1.7 with respect to state personal income taxes, implying that lower top rates increase the inflow of top talent.

The elasticity of mobility for star scientists in response to state tax changes is notably high, with a long-run elasticity of 1.7 for personal income taxes. This suggests that a reduction in personal income tax rates can significantly increase the inflow of top talent. For instance, New York's 2006 cut in personal income tax rate for the top 1% from 7.5% to 6.85% resulted in a net inflow increase of star scientists by 3% annually. Over a decade, this policy added 30 star scientists to New York's stock, marking a 2.6% rise. These findings highlight the substantial impact of tax policy on the geographical distribution of highly skilled workers, although other factors like innovation clusters also play a crucial role in location decisions.

Takeaways by Macro Roundup® AI

  1. Star scientists show a long-run mobility elasticity of 1.7 with respect to state personal income taxes, implying that lower top rates increase the inflow of top talent.
  2. New York's 2006 cut in the top 1% personal income tax rate from 7.5% to 6.85% raised the net inflow of star scientists by 3% annually, adding 30 star scientists over a decade, a 2.6% increase in its stock.
  3. Tax policy shapes the geographical distribution of highly skilled workers, though other factors such as innovation clusters also influence location decisions.

We looked at a preliminary version of this paper but here is the final version. Moretti on the elasticity of mobility of human talent in the face of high tax rates. Findings should be useful.

"...We focus on the locational outcomes of star scientists, defined as scientists—in the private sector as well as academia and government—with patent counts in the top 5 percent of the distribution.....We define star inventors, in a given year, as those who are at or above the ninety-fifth percentile in number of patents over the past ten years. In other words, stars are exceptionally prolific patenters.....The state pair with the most bilateral flows over this decade was California-Texas; 26 star scientists per year moved from Texas to California and 25 per year moved from California to Texas. Close behind was California-Massachusetts, with 25 per year moving from Massachusetts to California and 24 moving in the opposite direction....We uncover large, stable, and precisely estimated effects of personal and corporate taxes on star scientists’ migration patterns. The long-run elasticity of mobility relative to taxes is 1.7 for personal income taxes, 1.8 for state corporate income tax, and 1.6 for the investment tax credit. In terms of stocks, our elasticities imply that if the net-of-tax rate increases in a state (holding other states’ rates constant), due to a cut in the personal income average tax rate or the corporate tax, the stock of scientists in the state will rise by 0.4 or 0.42 percent per year for as long as the increase in the net-of-tax rate differential lasts. These elasticities are economically large and significantly larger than the conventional labor supply elasticity. The effect on mobility is small in the short run, and tends to grow over time.While we can’t rule out that our estimates are biased by unobserved demand or supply shocks, a number of additional pieces of evidence lend credibility to a causal interpretation of our estimates. First, we find no evidence of pretrends: changes in mobility follow changes in taxes and do not to precede them. Second, the effect of corporate income taxes is concentrated among private sector inventors: no effect is found on academic and government researchers. Third, corporate taxes only matter in states where the wage bill enters the state’s formula for apportioning multistate income. No effect is found in states that apportion income based only on sales (in which case labor’s location has little or no effect on the tax bill). We also find no evidence that changes in state taxes are correlated with changes in the fortunes of local firms in the innovation sector in the years leading up to the tax change. Finally, within-firm evidence suggests that multistate firms adjust the share of employment in each state as a function of business taxes. Overall, we conclude that state taxes have significant effect on the geographical location of star scientists and possibly other highly skilled workers. While there are many other factors that drive when innovative individual and innovative companies decide to locate, there are enough firms and workers on the margin that relative taxes matter....Of course, taxes are not the only factor that can determine the location of star scientists. Indeed, we find a limited cross-sectional relationship between state taxes and number of star scientists in a state as the effect is swamped by all the other differences across states. California, for example, has relatively high taxes throughout our sample period, but it is also attractive to scientists because of the historical presence of innovation clusters like Silicon Valley and the San Diego biotech cluster....As an illustration, our estimates imply that the effect of New York cutting its statutory personal income tax rate on the top 1 percent of earners from 7.5 percent to 6.85 percent in 2006 was to increase the net inflow of star scientists to the state by about 3 per year, which is a sizable effect over time. Over a ten-year period, for instance, this implies an addition of 30 to New York’s stock of star scientists—a 2.6 percent increase...."

Enrico Moretti and Daniel Wilson, "The Effect of State Taxes on the Geographical Location of Top Earners: Evidence from Star Scientists,"American Economic Review, 2017, https://eml.berkeley.edu//~moretti/taxes.pdf

  • Productivity
    • Incentives/Risk-Taking
    • Innovation/Research
  • Comparisons
    • Geography (Urban/Rural)
    • Other Comparison
  • Fiscal Policy
    • Taxation

Where the Entrepreneurs Are

AI Summary. U.S. startup creation rates are closely correlated with population growth, with a 1% increase in population growth associated with a 0.871 percentage point higher startup rate, according to Moody's Analytics.

Adam Ozimek and Brendan Meighan Moodys
Date Posted:
January 15, 2019
Is Database:
Database

Moody’s Analytics shows a strong correlation btw US startup creation rates & population growth, with a 1% increase in population growth leading to a 0.871pp rise in the startup rate.

Does faster population growth raise startup creation rates?

Core argument: Moody's Analytics finds a 1% increase in U.S. population growth is associated with a 0.871 percentage point rise in the startup rate.

Moody's Analytics reveals a strong correlation between U.S. startup creation rates and population growth, with a 1% increase in population growth leading to a 0.871 percentage point rise in the startup rate. This data underscores the importance of demographic trends in fostering entrepreneurial activity, suggesting that regions experiencing population expansion are more likely to see a surge in new business ventures. The findings highlight the potential for economic revitalization in areas with growing populations, as increased firm creation can drive job creation and innovation. This relationship between population dynamics and entrepreneurship could inform policy decisions aimed at stimulating economic development through targeted support for regions with favorable demographic trends.

Takeaways by Macro Roundup® AI

  1. Moody's Analytics finds a 1% increase in U.S. population growth is associated with a 0.871 percentage point rise in the startup rate.
  2. Moody's Analytics data suggest U.S. regions with expanding populations are more likely to see increased new business creation.
  3. The relationship between population dynamics and entrepreneurship identified by Moody's Analytics could inform policy supporting regions with favorable demographic trends.

A study by Moody’s Analytics shows the U.S. start-up creation rate is highest in parts of the country that are seeing population growth, a “1% increase in population growth, the startup rate increased 0.871 percentage point.”

Adam Ozimek and Brendan Meighan. “Where the Entrepreneurs Are,” Moodys, December 12, 2018, https://www.economy.com/dismal/analysis/free/348933/Where-the-Entrepreneurs-Are/

  • Startups
  • Comparisons
    • Geography (Urban/Rural)
  • Workforce
    • Demographics

Wednesday, January 16, 2019

Does Ultra-Low Unemployment Spur Rapid Wage Growth?

AI Summary. Periods when unemployment fell below 4% have been accompanied by only moderate wage growth of roughly 3-4% annually, suggesting very low unemployment does not necessarily produce rapid wage increases. Globalization, technological change, and reduced unionization are cited as limits on workers' bargaining power, while labor force participation below pre-recession levels indicates possible remaining labor market slack.

Daniel J. Wilson Federal Reserve Bank of San Francisco
Date Posted:
January 16, 2019
Is Database:
Database

@DanielJWilson @FederalReserveBank of San Francisco: Despite low unemployment, evidence suggests wage growth may not accelerate sharply, with moderate 3-4% annual increases even when unemployment falls below 4%.

Does very low unemployment produce rapid wage growth?

Core argument: Unemployment fell to 3.7% in 2018 while wage growth was just 3.1%, echoing the late 1990s and mid-2000s when sub-4% unemployment coincided with annual wage gains of only 3–4%.

Despite historically low unemployment rates, evidence suggests that wage growth may not accelerate sharply. Data from the late 1990s and mid-2000s show that even when unemployment fell below 4%, wage growth remained moderate, increasing by only 3-4% annually. Recent trends indicate a similar pattern, with unemployment at 3.7% in 2018, yet wage growth was just 3.1%. Factors such as globalization, technological advancements, and a decline in unionization have contributed to this phenomenon by limiting workers' bargaining power. Additionally, the labor force participation rate [LFP] has not fully recovered to pre-recession levels, indicating potential slack in the labor market. These dynamics suggest that while low unemployment is a positive economic indicator, it does not necessarily translate into rapid wage increases, challenging traditional economic models that predict a strong correlation between tight labor markets and wage inflation.

Takeaways by Macro Roundup® AI

  1. Unemployment fell to 3.7% in 2018 while wage growth was just 3.1%, echoing the late 1990s and mid-2000s when sub-4% unemployment coincided with annual wage gains of only 3–4%.
  2. Globalization, technological advancements, and declining unionization have limited workers' bargaining power, contributing to moderate wage growth despite historically low unemployment rates.
  3. The labor force participation rate has not fully recovered to pre-recession levels, indicating potential slack in the labor market.

Sylvain Leduc, Chitra Marti, and Daniel J. Wilson, "Does Ultra-Low Unemployment Spur Rapid Wage Growth?," Federal Reserve Bank of San Francisco, January 14, 2019, https://www.frbsf.org/economic-research/publications/economic-letter/2019/january/does-ultra-low-unemployment-spur-rapid-wage-growth/

Ed Comment:They say, “We do not foresee a sharp pickup in wage growth nationally if the labor market continues to tighten as many anticipate.” But doesn’t figure 3 say that wage inflation should reach 8% per year at 4% unemployment? The relationship between unemployment and wage gain may not be non-linear, but isn’t 8% still very high?

SF Fed (implicitly) underwhelmed by Berstein's thesis that low UI raises wages.
"...In sum, a careful look at the wage Phillips curve across states yieldslittle evidence supporting the contention that wage growth sharply rises as the labor market reaches especially tight conditions.Of course, the current period may be different from the past. For instance, the typical pattern of local wage growth in a tight local labor market may differ when all other nearby labor markets are experiencing similar tightness, as is currently the case. As a result, geographical labor mobility—which can mute wage pressures in tight markets as workers are attracted to higher-wage areas—may be playing less of a restraining role. With this caveat in mind, given the historical experiences of states in recent decades, we do not foresee a sharp pickup in wage growth nationally if the labor market continues to tighten as many anticipate...."

Dan Wilson (FRBSF) Comment: Thanks for your email. In retrospect our y-axis was not well labeled. We were plotting the estimated relationship between wage growth and the unemployment rate, but the predicted wage growth at any specific unemployment rate is a bit more complicated. It requires also adding in the predicted effects (on wage growth) of lagged inflation and productivity growth, which are the two controls in our regressions. Adding in these effects shifts down the whole wage Phillips curve by over 1 percentage point. That means that, over our 1991—2016 sample period, our estimates suggest a 4% unemployment rate would tend to be associated with a wage growth rate around 6%. While this may still seem high, it is an estimate over the 1991—2016 period, and Sylvain Leduc and I found in prior work (https://www.frbsf.org/economic-research/publications/economic-letter/2017/october/has-wage-phillips-curve-gone-dormant/) that the wage Phillips curve has flattened substantially over time, so we’d expect much smaller wage growth from a 4% urate now than in the past.

  • Wages/Income
  • Workforce
    • Unemployment/Participation

From Immigrants to Robots: The Changing Locus of Substitutes for Workers

AI Summary. Research estimates industrial robots displace 2–3 human workers each, and up to 3–4 among less-educated, female, and automatable-occupation workers, making their displacement effects 2–3x those of immigration. The number of robots per worker remains modest, but continued exponential growth could disrupt labor markets within a decade.

George Borjas and Richard B. Freeman National Bureau of Economic Research
Date Posted:
January 16, 2019
Is Database:
Database

According to @GeorgeBorjas @nberpubs, the influx of industrial robots has been modest but is poised to surpass the impact of additional immigration on labor markets.

Do robots displace more workers than immigrants do?

Core argument: An additional industrial robot is estimated to substitute for 2–3 human workers, and 3–4 in specific groups, a displacement effect the authors put at 2–3 times that of additional immigrants.

The influx of industrial robots has been modest but is poised to surpass the impact of additional immigration on labor markets. Robots have been shown to reduce employment and wages, particularly affecting lower-educated workers and those in automatable jobs. An additional robot is comparable to 2-3 human workers, and up to 3-4 in specific groups, indicating a more significant displacement effect than immigrants. While the number of robots per worker has not yet majorly influenced wages and employment, continued exponential growth could disrupt job markets in the next decade. The displacement effects of robots are estimated to be 2-3 times greater than those of immigrants, with more pronounced impacts on less educated, female, and automatable occupation workers. This suggests that the future of work could be significantly altered by technological advancements, warranting close monitoring by labor analysts.

Takeaways by Macro Roundup® AI

  1. An additional industrial robot is estimated to substitute for 2–3 human workers, and 3–4 in specific groups, a displacement effect the authors put at 2–3 times that of additional immigrants.
  2. Robots are found to reduce employment and wages, with more pronounced effects on less educated workers, female workers, and those in automatable occupations.
  3. The number of robots per worker has not yet majorly influenced wages and employment, but continued exponential growth in robot adoption could disrupt job markets within the next decade.

A new NBER paper from Harvard’s George Borjas and Richard Freeman suggests the robot supply shock has been modest but is likely to exceed the impact of additional immigration going forward.

"....The influx of industrial robots into an industry over time is associated with a substantial fall in employment and earnings that is concentrated on lower educated workers and on those in occupations that experts view as “automatable”.The entry of an additional robot reduces employment and wages by more than the entry of an additional immigrant, suggesting that one industrial robot is comparable to 2 to 3 human workers and upwards of 3 to 4 in particular groups.While the number of robots per worker is too modest to be a major determinant of wages and employment patterns in the period covered by our study, our estimates suggest that continued exponential growth of robots could disrupt job markets in the next decade or so and thus merits monitoring and analysis by labor analysts.....Treating the deployment of industrial robots as a supply shock in a demand supply model that includes the influx of immigrants as a separate measure of changes in supply offers a unique perspective on the development of technological substitutes for labor. It highlights the critical importance of the displacement parameter that connects the numbers of robots to the shift in supply of equivalent workers and provides a natural comparison metric in terms of the shift in supply due to immigrants.In our calculations robots had a negative impact on wages and employment overall and in most groups, with the negative impact of robots substantially larger than the negative impacts of immigrants on wages and employment.Taking the table 4 and 5 IV calculations for all workers as the best estimate of the overall impacts, the displacement effects of robots are on the order of 2-3 times the effects of immigrants. Honing down to narrower groups suggests that the impacts are larger for less educated workers, for female workers, and for workers in occupations viewed as more automatable, ranging upward to robot displacement effects of 3-4 time.....Despite the media uproar about robots, the robot supply shock has been too modest through the mid-2010s to disrupt the labor market. On the other side, the evidence that the increased supply of industrial robots has depressed employment and wages in affected industries, with a robot adding the equivalent of 2 to 3 workers to labor supply on average and 3-4 workers in particular groups, suggests that it would be foolhardy to dismiss the concerns about the future of work.Reasonably large supply shock effects of technology and exponential growth of robots and related technologies have the potential to shake up the world of work in the foreseeable future.....Increased use of robots has roused concern about how robots and other new technologies change the world of work. Using numbers of robots shipped to primarily manufacturing industries as asupply shock to an industry labor market, we estimate that an additional robot reduces employment and wages in an industry by roughly as much as an additional 2 to 3 workers and by 3 to 4 workers in particular groups, which far exceed estimated effects of an additional immigrant on employment and wages. While the growth of robots in the 1996-2016 period of our data was too modest to be a major determinant of wages and employment, the estimated coefficients suggest that continued exponential growth of robots could disrupt job markets in the foreseeable future and thus merit attention from labor analysts....."

George Borjas and Richard B. Freeman, "From Immigrants to Robots: The Changing Locus of Substitutes for Workers," National Bureau of Economic Research, https://www.nber.org/papers/w25438

  • Productivity
    • Investment
  • Comparisons
    • Historical
    • Sector
  • Workforce
    • Unemployment/Participation


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