Edward Conard

Top Ten New York Times Bestselling Author

  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “Unintended Consequences offers deep and well-argued analyses on almost every issue.” - The New York Times
  • “…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
  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
  • “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 comprehensive explanation of the modern economy.” - Julian Robertson, Founder, Tiger Management
  • “A full-throated defense of economic dynamism.” - The Wall Street Journal
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “…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
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
Upside of Inequality Oxford Unintended Consequences
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Friday, May 29, 2020

Conversations with E21: Wojciech Kopczuk on Wealth Taxes

AI Summary. Wealth inequality has increased, but measuring it accurately is difficult because wealth is hard to observe and estimates rely on assumptions and imputations, requiring error bounds or confidence intervals. Lower measured inequality in Europe may be misleading given stronger incentives to keep wealth private, so actual inequality there may be higher than reported.

Allison Schrager Economics 21
Date Posted:
May 29, 2020
Is Database:
Database

Wealth inequality has worsened over time, with the most reliable estimates coming from Zidar, Zwick, and Smith, considered the state-of-the-art in this field.

How reliable are measurements of wealth inequality?

Core argument: Wojciech Kopczuk identifies the wealth inequality estimates of Zidar, Zwick, and Smith as state-of-the-art, and those estimates indicate wealth inequality has increased over time.

Wealth inequality has worsened over time, with the most reliable estimates coming from Zidar, Zwick, and Smith, considered the state-of-the-art in this field. These estimates suggest that while inequality has increased, measuring it accurately is challenging due to the difficulty in observing wealth and the reliance on assumptions and imputations. This necessitates the inclusion of error bounds or confidence intervals in any analysis. In Europe, lower observed inequality levels may be misleading due to stronger incentives to keep wealth private, suggesting actual inequality might be higher than reported. This discrepancy highlights the complexity of accurately assessing wealth distribution across different regions.

Takeaways by Macro Roundup® AI

  1. Wojciech Kopczuk identifies the wealth inequality estimates of Zidar, Zwick, and Smith as state-of-the-art, and those estimates indicate wealth inequality has increased over time.
  2. Measuring wealth inequality is difficult because wealth is hard to observe and estimates depend on assumptions and imputations, which Kopczuk argues requires reporting error bounds or confidence intervals.
  3. Lower measured wealth inequality in Europe may be misleading because stronger incentives to keep wealth private there mean actual inequality could be higher than reported.

Allison Schrager, "Conversations with E21: Wojciech Kopczuk on Wealth Taxes," Economics 21, May 12, 2020, https://economics21.org/html/conversations-e21-wojciech-kopczuk-wealth-taxes-3541.html

Normally I wouldn't send this to you but given the upcoming interview with CBS on inequality I though you might be interested. Note he calls the updated Smith/Zidar/Zwick numbers (attached) we looked at “the state of the art estimate” and suspects that inequality in Europe looks like the US but it’s harder to see as we have less transparency into their private firms.

"...Has wealth inequality worsened over time? Yes, it has worsened somewhat. However, there’s a range of estimates in the literature as to how much. The most aggressive ones are biased upward. The state-of-the-art estimate comes from Owen Zidar, Eric Zwick, and Matt Smith—this estimate is what I would point to as the neighborhood of where the truth might be. But the problem with measuring wealth inequality is that observing wealth is hard. Calculating it depends on lots of assumption and imputations, and for this reason any estimate should include clear error bounds or confidence intervals. But my best guess is that inequality has increased….. My suspicion is that the lower levels of observed inequality we see in Europe are due in part to the fact that there are stronger incentives to keep wealth private in Europe, which makes observing it harder. My suspicion is that there is more actual inequality there then what see in the data. Shifting in that direction may make the discourse better, but the economic substance… that’s a different story….”

Ed Comment:Why wouldn't you send this? It provides a pithy summary of the research/thinking on wealth taxes. (although I think, in this case, he makes several mistakes. For example, wouldn't the economy be better served by a wealth tax that was 50% of a low risk rate--1 or 2%, which is, in effect a capital income tax--to a heavy (30%) tax on capital gains that discourage risk-taking? People oppose wealth taxes for the same reason they oppose value added taxes even though they are a more logical way to tax--because they rightly fear them as an additional tax not as an alternative tax. But that's not an economic argument.) (I also think he gets the impact of capital gains tax on unrealized appreciation backward. That should drive people to liquid assets so they can sell assets easily to raise money to pay the taxes. Having to pay annual taxes on appreciated illiquid assets that by their nature cannot and should not be sold is scary. Investors who still wanted to hold illiquid assets would hold a lot more liquid assets to cover the risk. More of one means less of the other. We want to encourage investors to invest in illiquid assets.) Reading an article/interview like this is much easier and faster than reading a complex academic paper. I always envision a collection of linked entries by topic (do we need to add wealth tax as a subsonic?) with a mix of entries that includes easy-to-read summaries like this. I'm reluctant, however to post things like this publicly without "correcting" them, which I don't have time to do carefully with every entry. I would post this with my parenthetic comments.

  • Inequality
  • Fiscal Policy
    • Taxation

The Declining Worker Power Hypothesis: Questions Responses

AI Summary. The authors argue declining worker power has substantially reduced the share of labor income going to the bottom 90% and 99% of workers, with gains from equity-based compensation and passthrough business ownership concentrated at the top. They attribute the corporate-sector labor share decline to a redistribution of rents from labor to capital, raising inequality and desired saving.

Larry Summers Harvard University
Date Posted:
May 29, 2020
Is Database:
Database

The decline in worker power has led to a substantial reduction in labor income share for the bottom 90% and even 99% of workers, despite the unclear magnitude of the overall decline in aggregate labor share.

Has declining worker power shifted labor income toward the top?

Core argument: The declining worker power hypothesis holds that labor income share for the bottom 90%, and even the bottom 99%, of workers has fallen substantially, even though the magnitude of the decline in aggregate labor share remains unclear.

The decline in worker power has led to a substantial reduction in labor income share for the bottom 90% and even 99% of workers, despite the unclear magnitude of the overall decline in aggregate labor share. This reduction is evident as large increases in income from equity-based compensation and passthrough firm ownership have been concentrated at the top of the income distribution. The focus on the corporate sector, excluding housing and mixed income, reveals a decline in labor share since the 1980s, attributed to the redistribution of rents from labor to capital. This shift contributes to rising inequality and a higher propensity to save among the wealthy, aligning with the secular stagnation hypothesis by increasing the desire to save relative to invest, thus impacting the neutral real interest rate.

Takeaways by Macro Roundup® AI

  1. The declining worker power hypothesis holds that labor income share for the bottom 90%, and even the bottom 99%, of workers has fallen substantially, even though the magnitude of the decline in aggregate labor share remains unclear.
  2. Large increases in income from equity-based compensation and passthrough firm ownership have been concentrated at the top of the income distribution.
  3. Excluding housing and mixed income, the corporate sector shows a labor share decline since the 1980s attributed to a redistribution of rents from labor to capital, raising inequality and the desire to save relative to invest, which affects the neutral real interest rate.

Summers/Stansburyrespond to some of Tyler Cowen’s questions about their Research (including the role of equity based compensation and housing) and how to reconcile their paper with the secular stagnation hypothesis:

“…3. Has the labor share even fallen? Part 1: Labor’s share does not appear to have fallen nearly as much if you consider workers’ receipts of equity compensation, or if you consider the owners of passthrough firms (i.e. people who run and own their own businesses). It’s unclear whether to consider equity-based compensation, or the compensation of the owners of passthrough firms, to be labor income or to be capital income. Regardless, our work focuses on the decline in worker power and in labor income for the *majority* of workers.The large increases in income in the form of equity-based compensation, or accruing to owners of passthrough firms, have been at the very top of the income distribution. So while the magnitude of the decline in the aggregate labor share may not be clear, it is very clear that the share of income which is labor income for – say -the bottom 90% of workers or even 99% of workers has fallen substantially. 4. Has the labor share even fallen? Part 2: How do we take into account housing (Rognlie), depreciation (Bridgman), or the imputation of mixed income? We focus on the compensation share of income in the *corporate* sector (to be precise: the nonfinancial corporate sector in our main analysis, and the entire corporate sector in the Appendix). Focusing on the compensation share in the corporate sector excludes housing, and excludes issues of the imputation of mixed income. Furthermore, in our main analysis we focus on the labor share of value added net of depreciation. Since depreciation rates rose over the period, the decline in the gross labor share was bigger than the decline in the net labor share (See Appendix Section C6). Most of the analyses of the labor share in recent years have focused on the corporate sector for these reasons, and indeed Rognlie (2014), who raised the point about the role of housing, finds a decline in the labor share in the corporate sector since the 1980s and identifies a large role for what he calls “pure profits” (which could represent our channel of the redistribution of rents between labor and capital).5. If corporate profits are so high, how is this consistent with the persistently low demand postulated by Summers’ “secular stagnation” hypothesis? Secular stagnation as we think of it is the product of a rising gap between the desire to save and the desire to invest (which, in an IS-LM type framework, would push down the neutral real interest rate). Falling worker power redistributes income from lower and middle-income people to the rich. The rich have a higher propensity to save. Thus, falling worker power increases the desire to save relative to the desire to invest. Rising inequality has been posited by several authors as a contributor to the declining neutral real interest rate (see e.g. Smith and Rachel 2015). Under this view, secular stagnation is exemplified by low private return to capital investment – but, in a noncompetitive world, this may or may not be the same thing as an abnormally low profit rate or capital share….”

Anna Stansbury and Larry Summers, “The Declining Worker Power Hypothesis: Questions & Responses,” Harvard University, May 29, 2020, https://scholar.harvard.edu/stansbury/declining-worker-power-hypothesis-questions-responses

  • Housing
  • GDP
    • Trade (not deficits)
  • Workforce
    • Unemployment/Participation
    • Wages/Income

Family, Education, and Sources of Wealth Among the Richest Americans

AI Summary. Analysis of the Forbes 400 finds that fewer of the richest Americans inherited their wealth or grew up wealthy than in the 1980s and 1990s, with more starting businesses from upper-middle-class backgrounds. The authors link this shift to education and skills applied in scalable industries such as technology, finance, and mass retail.

Steven Kaplan and Joshua Rauh American Economic Review
Date Posted:
May 29, 2020
Is Database:
Database
Is Important:
Important

Analysis of the Forbes 400 reveals a shift in wealth origins over recent decades. Fewer individuals in this elite group have inherited their wealth or grown up wealthy compared to the 1980s and 1990s.

Are fewer of the richest Americans inheriting their wealth?

Core argument: Analysis of the Forbes 400 finds that fewer members inherited their wealth or grew up wealthy than in the 1980s and 1990s, a shift in the origins of top-end American wealth.

Analysis of the Forbes 400 reveals a shift in wealth origins over recent decades. Today, fewer individuals in this elite group have inherited their wealth or grown up wealthy compared to the 1980s and 1990s. Instead, many started their businesses from an upper middle-class background, leveraging education and skills in scalable industries like technology, finance, and mass retail. This trend indicates a growing importance of self-made wealth and educational attainment in reaching the top 0.0003% of US households. The data suggests a broader economic shift where access to education and strategic industry involvement are key drivers of wealth creation, contrasting with past reliance on inheritance.

Takeaways by Macro Roundup® AI

  1. Analysis of the Forbes 400 finds that fewer members inherited their wealth or grew up wealthy than in the 1980s and 1990s, a shift in the origins of top-end American wealth.
  2. Many of today's Forbes 400 members started businesses from upper middle-class backgrounds, drawing on education and skills in scalable industries including technology, finance, and mass retail.
  3. The Forbes 400 data suggests that education and involvement in scalable industries, rather than inheritance, increasingly drive entry into the top 0.0003% of US households.

“…We examine the top 400 wealthiest individuals in the US economy as tabulated by Forbes magazine and analyze which of these theories are more consistent with the patterns in the data. In contrast to other studies, we look not just at the present, but also at the 1980s, 1990s, and early 2000s. These 400 people represent the very top of the distribution, the top 0.0003 percent of 132 million US households and the top 0.0001 percent of 311.5 million US individuals. We focus on three primary factors. First, we test the extent to which the individuals made money on their own as opposed to inheriting it. Second, we examine the industrial activities through which the wealth was made, and the extent to which technology played a role. Third, we consider the educational backgrounds of the top earners, and specifically the importance of having a college education. We investigate how these factors have changed over time, and we also compare the results in the United States to the changes in the composition of billionaires from other countries, also drawing on data from ForbesThe Forbes 400 in recent years did not grow up as advantaged as in decades past. Those in the Forbes 400 today are less likely to have inherited their wealth or to have grown up wealthy. They are more likely to have started their businesses having grown up with some wealth, what we consider to be the equivalent of upper middle class. The Forbes 400 of today also are those who were able to access education while young and apply their skills to the most scalable industries: technology, finance, and mass retail….”

Steven Kaplan and Joshua Rauh. “Family, Education, and Sources of Wealth Among the Richest Americans, 1982-2012,” American Economic Review, May 2013, https://www.jstor.org/stable/23469721

  • Productivity
    • Incentives/Risk-Taking
  • Comparisons
    • Historical
    • Other Comparison

The Path to Prosperity Is Blue

AI Summary. Blue states are richer, better educated, and produce more patents and research and development than red states, which receive more federal spending relative to taxes paid yet still lag behind. The author argues modern knowledge economies reward education and urban hubs rather than low taxes and light regulation.

Jacob Hacker and Paul Pierson New York Times
Date Posted:
May 29, 2020
Is Database:
Database

Blue states outperform red states economically, with richer residents, more patents, and more R&D. They excel in modern knowledge economies that reward education and urban hubs. @JacobHacker @PaulPierson

Do education and urban hubs drive state prosperity more than low taxes?

Core argument: Blue states, which prioritize investment in education, infrastructure, and innovation, are richer and better educated than red states despite higher living costs, with their companies producing more patents and conducting more R&D.

Blue states, which prioritize investments in education, infrastructure, and innovation, consistently outperform red states economically. Despite higher costs of living, blue states are richer and their residents better educated, with companies producing more patents and engaging in more R&D. The divergence is stark as red states receive more federal spending relative to taxes paid, yet still lag behind. Modern knowledge economies reward education and urban hubs, areas where blue states excel. While some red states benefit from fossil fuel reserves, this growth is unsustainable and environmentally costly. Blue state innovation creates positive externalities that benefit the broader economy, underscoring the importance of science and education over low taxes and lax regulations.

Takeaways by Macro Roundup® AI

  1. Blue states, which prioritize investment in education, infrastructure, and innovation, are richer and better educated than red states despite higher living costs, with their companies producing more patents and conducting more R&D.
  2. Red states receive more federal spending relative to taxes paid than blue states, yet still trail them economically.
  3. Modern knowledge economies reward education and urban hubs where blue states excel, while fossil-fuel-driven growth in some red states is unsustainable and environmentally costly, and blue state innovation generates positive externalities for the broader economy.

“…We should tackle these problems. But we should remember thatthe key drivers of growth are science, education and innovation, not low taxes, lax regulations or greater exploitation of natural resources….”

The Path to Prosperity Is Blue

HOW can America’s leaders foster broad prosperity? For most Republicans — including Donald J. Trump — the main answer is to “cut and extract”: Cut taxes and business regulations, including pesky restrictions on the extraction of natural resources, and the economy will boom.

Mr. Trump and House Speaker Paul Ryan are united by the conviction that cutting taxes — especially on corporations and the wealthy — is what drives growth.

A look at the states, however, suggests that they’re wrong. Red states dominated by Republicans embrace cut and extract. Blue states dominated by Democrats do much more to maintain their investments in education, infrastructure, urban quality of life and human services — investments typically financed through more progressive state and local taxes. And despite what you may have heard, blue states are generally doing better.

The Path to Prosperity Is Blue: Extended Excerpt Image 1


We identify blue states as the 18 that supported the Democratic candidate in the last four presidential elections, and red states as the 22 that backed the Republican candidate (alternative definitions yield similar results). If you compare averages, blue states are substantially richer (even adjusting for cost of living) and their residents are better educated. Companies there do more research and development and produce more patents. Students score better on tests of basic science-oriented skills like math.

How can conservative commentators claim that red states dominate? A tactic favored by Mr. Trump’s economic adviser Stephen Moore is to rely on measures goosed by population expansion, like job growth or a state economy’s size.

That’s like portraying India as a beacon of prosperity because it has one of the biggest economies in the world and creates millions of jobs annually. Economic performance is measured in the lives of individuals, not aggregates.

Another favorite approach is to cherry-pick a handful of red states with decent records and contrast them with the most troubled blue states. With Texas now stumbling as oil prices fall, the new conservative favorite is Utah.

Utah’s low poverty rate and long life expectancy are impressive, but spotlighting a single state ignores the more numerous red states that dominate the lowest ranks of state performance — whether for life expectancy, obesity, rates of violent crime and incarceration, or labor force participation of prime-age workers.

Many of these differences are longstanding. Our reddest region, the South, has long been the poorest part, too. The gap between today’s red and blue states was enormous for much of the 20th century. It then narrowed substantially, thanks in part to huge federal transfers to the poorest states to raise them toward the national level.

Yet income differences between red and blue states stopped closing around 1980 and, in some revealing cases, widened. For example, Texas and Massachusetts — often considered exemplars of the red and blue models — had almost converged by 1980. Since then, Texas’ per capita income has fallen significantly relative to Massachusetts’. The same is true of Utah.

Yes, the cost of living is higher in Massachusetts than it is in Texas — by about 11 percent in the last few years, according to recent government calculations by the Bureau of Economic Analysis. But even this significant difference (surely longstanding) can’t close the widened gap.

The Path to Prosperity Is Blue: Extended Excerpt Image 2


This red-blue divergence is all the more striking because red states still receive much more in federal spending relative to the federal taxes their residents pay. In other words, blue states are generally outperforming red states even while heavily subsidizing them.

Why are red states no longer consistently gaining ground? An important reason is that modern knowledge economies increase the rewards for education, research and development and urban hubs that promote the exchange of ideas and development of talent. This has made local conditions more important even in this age of globalization. And the places where these effects have been most successfully promoted are overwhelmingly blue.

Yes, there are fast-growing red state economies. But many, like North Dakota, look more like Saudi Arabia than Silicon Valley. Not all states are sitting on huge fossil fuel reserves, and tapping these reserves isn’t costless. It creates pollution and other problems — negative externalities — that go beyond states’ borders, notably the costs associated with carbon emissions.

By contrast, the innovation-driven growth in blue states creates broad positive externalities. People educated in blue states can move to red states; technologies developed in blue states can be emulated in red states. In other words, blue state investments “leak out.” Yet these states are still producing high levels of prosperity.

Not all blue states are economically successful, of course, and not all red states are struggling. Some red state innovation hubs like Austin, Tex., are thriving (even if these “blue islands” are at odds with state governments over wage rules and public investments). Yet few of the cities that do the most research or advanced manufacturing or that produce the most patents are in red states.

On the other side, blue states have found it difficult to maintain their historic investments in education and infrastructure. In some cases, state policies are to blame. Connecticut, Illinois and Rhode Island are now having to deal with badly underfinanced pension funds.

But blue states have also been affected by cutbacks in federal funding for research, infrastructure and higher education — a reminder that federal policy still matters enormously.

And blue states have higher average inequality than red states do (in part because of their success in promoting high-paying jobs), and their dense urban economies continue to harbor troublingly deep pockets of disadvantage.

Local restrictions that stymie construction of new affordable housing play a big role. These policies not only hurt less affluent residents; they also make these states poorer because the most innovative cities are less dense and hence less productive than they could be.

We should tackle these problems. But we should remember that the key drivers of growth are science, education and innovation, not low taxes, lax regulations or greater exploitation of natural resources.

And we should be worried, whatever our partisan tilt, that leading conservatives promote an economic model so disconnected from the true sources of prosperity.

Jacob Hacker and Paul Pierson, “The Path to Prosperity Is Blue,”New York Times, July 30, 2017, https://www.nytimes.com/2016/07/31/opinion/campaign-stops/the-path-to-prosperity-is-blue.html

  • Government Spending
  • Fiscal Policy
    • Taxation
  • Politics

Monday, June 1, 2020

Monopsony And Outside Option

AI Summary. In imperfectly competitive labor markets, the authors estimate that a $1 increase in the value of workers' outside options raises wages by $0.24–$0.37, and that moving employer concentration from the 75th to the 95th percentile lowers wages by 5%. The estimated effect of employer concentration on wages is 3x larger for occupations with low mobility into other occupations.

Gregor Schubert, Anna Stansbury and Bledi Taska Harvard University
Date Posted:
June 1, 2020
Is Database:
Database

A $1 increase in outside options value leads to $0.24-$0.37 higher wages, according to @GregorSchubert @AnnaStansbury @BlediTaska @HarvardUniversity. Employer concentration reduces wages by 5%, explaining 21% of wage variation within occupations.

A $1 increase in outside options value leads to $0.24-$0.37 higher wages, according to @GregorSchubert @AnnaStansbury...

How much do workers' outside options and employer concentration affect wages?

Core argument: A $1 increase in the value of workers' outside options is associated with $0.24–$0.37 higher wages in imperfectly competitive labor markets.

In imperfectly competitive labor markets, the value of workers' outside options significantly impacts wages. A $1 increase in the value of outside options results in $0.24-$0.37 higher wages. Employer concentration, moving from the 75th to the 95th percentile, reduces wages by 5%, explaining 21% of wage variation within occupations across cities. Additionally, outside-occupation options account for 13% of wage variation. The interaction between employer concentration and outside options is crucial; the effect of concentration on wages is three times higher for occupations with low outward mobility. This highlights the importance of considering outside-occupation options in understanding wage dynamics and suggests that higher-skilled workers are attracted to cities with deeper labor markets due to better outside options.

Takeaways by Macro Roundup® AI

  1. A $1 increase in the value of workers' outside options is associated with $0.24–$0.37 higher wages in imperfectly competitive labor markets.
  2. Moving employer concentration from the 75th to the 95th percentile reduces wages by 5%, explaining 21% of wage variation within occupations across cities, while outside-occupation options account for 13%.
  3. The effect of employer concentration on wages is three times higher for occupations with low outward mobility, and higher-skilled workers are drawn to cities with deeper labor markets offering better outside options.

Gregor Schubert, Anna Stansbury and Bledi Taska, “Monopsony And Outside Options,” Harvard University, May 2020, https://scholar.harvard.edu/files/stansbury/files/schubertstansburytaskamain_2.pdf

“…In imperfectly competitive labor markets, the value of workers’ outside option matters for their wage. But which jobs comprise workers’ outside option, and to what extent do they matter? We measure the effect of outside options on wages in the U.S, in two components: within-occupation options, proxied by employer concentration, and outside-occupation options, identified using new occupational mobility data. Using a new instrument for employer concentration, based on differential local exposure to national firmlevel trends, we find that moving from the 75th to the 95th percentile of employer concentration (across workers) reduces wages by 5%. Differential employer concentration can explain 21% of the interquartile wage variation within a given occupation across cities. In addition, we use a shift-share instrument to identify the wage effect of local outside-occupation options: differential availability of outside-occupation options can explain a further 13% of within-occupation wage variation across cities.Moreover, the two interact: the effect of concentration on wages is three times as high for occupations with the lowest outward mobility as for those with the highest. Our results imply that (1) employer concentration matters for wages for a large minority of workers, (2) wages are relatively sensitive to the outside option value of moving to other local jobs, and (3) failure to consider the role of outsideoccupation options in the concentration-wage relationship leads to bias and obscures important heterogeneity. Interpreted through the lens of a Nash bargaining model, our results imply that a $1 increase in the value of outside options leads to $0.24-$0.37 higher wages…..”

Primary takeaway within a given occupation concentration can explain ~ 21% of wage variation across metro areas, being able to purse a job outside a workers primary occupation matters. Within an occupation differential outside occupation job options can explain ~ 13% of wage variation.

New Anna Stansbury on impact of employer concentration on workers job/wage options; implicitly helps explain why higher skilled workers are moving to cities with deeper labor markers.

Ed Comment:What companies/industries represent the 95th percentile of concentration? Are the skills in those industries truly unique to those companies? Why don’t worker just use their skills in other industries? Ie why doe industry concentration matter?
Steve Comment:Sadly they don’t give data on local area concentration by sector/industry in the paper So there concentration measure is by local labor market (so in an extreme example, if you were a male living in Aspen in 1900 you could either work at the mine or leave, few other options, and those wages would likely be set relative to what the mining company would pay) Here is the example she uses: “…Our instrument exploits the fact that (a) increases in local labor market concentration are often driven by specific, already-large, firms growing, (b) these large firms usually operate across many labor markets, (c) that different local labor markets are differentially exposed to the growth of these large national firms based on the initial share of employment with that firm, and (d) that the employment growth of these large firms nationally is likely to be orthogonal to productivity changes or other conditions in a specific local labor market. The intuition behind the instrument can be explained with a hypothetical example of baristas in Portland, OR, and in Hartford, CT. Imagine there are two large coffee chains in each city: Starbucks, and Dunkin’. In Portland, Starbucks is relatively more dominant than Dunkin’, and the reverse in Hartford, meaning that Starbucks’ local employment share is much larger in Portland than in Hartford. In years where Starbucks grows substantially faster than Dunkin’ nationwide, employer concentration of baristas will grow by more in Portland than in Hartford…” They are using a Herfindahl-Hirschman Index by metropolitan areas using the Burning Glass database of online job postings (this is at the bottom of page 2 top of 3) Workers with other skills who can find work outside of the concentrated industry do have higher wages, it just seems by there measures most workers don’t have the skill or desire to move to new occupations (Figure 11)
Ed Comment:Sure sems weird. I get how an isolated factory or coal mine in a rural area might enjoy lower wages than the national average for their skill level, but 1) that seems rare and 2) exponential not linear, 3) the increase demand it creates surely raises the wages in the town from what they would have been. Baristas in urban coffee shops seems unfathomable unless the workers are getting nonpecuniary benefits from working somewhere—job security or growth/development opportunities with faster growing competitors, for example. Regardless, how does she reconcile it to the other paper that says it’s not the case?
Steve Comment:I’m working on an answer to that question, the answer likely is the monopsony factor (so firm power) is a factor but just a very small factor versus the “worker power” factor that she wrote about with Summers, and the later (worker power, inability to extract higher rents) is more convincing an explanation versus local industry concentration overall
Ed Comment:The last paper says monopsony is a significant fact. The prior paper said it was not. Monopsony would pocoure in isolated towns where employers have very high share. Loss of labor power should occer everywhere.

Steve Comment: Her answer: “…Dear Steve, Thank you for your email! Your question makes a lot of sense. The way to reconcile them is that one paper focuses on levels and the other focuses on changes. So: I would say that the Monopsony and Outside Options paper suggests that there is relatively high monopsony power impacting workers in specialized occupations and/or in low-population density places (our findings suggest employer concentration affects probably about a quarter of workers to some degree). The Declining Worker Power Hypothesis paper does not argue that there is no monopsony power, but argues that there is no evidence that monopsony power has increased over time. So, while monopsony power may be important for some workers, it cannot explain things like the decline in the aggregate labor share.I hope this answers your question but happy to discuss more if not! All the best, Anna…”

Ed Comment:Makes sense. no rise. Aren’t rural workers choosing monopsony? I’m always suspicious that their finding mean what I said they do: that rural factories or coal mines enjoy lower wages than the national average for the skill level of their workforce. And this provides evidence of monopsony, even though the increase demand for employment the employer creates raises wages in the town from what they would have been otherwise, the latter of which is never mentioned by an intentionally misleading author.
Steve Comment:You can add another layer on that in the rural factory towns in the Midwest/upper Midwest rust belt are depopulating. So the individuals that remain are very much choosing monopsony.

  • Inequality
  • Comparisons
    • Geography (Urban/Rural)
    • Historical
  • Workforce
    • Wages/Income


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