AI Summary. The authors propose that the divergence between rising US aggregate profit rates and falling financial market rates reflects a mismatch: national accounts measure returns on capital for all firms, while market rates capture the cost of capital for public firms only. They find public-firm profit rates halved while private-firm profit rates rose, averaging 10% above public firms.

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Public firms’ returns on the book value of assets are down ~ 50% from 1980 and private firms’ returns have doubled. @EconTraina @ASollaci @CarterDavisFin

Why do aggregate profit rates rise while market rates fall?

Core argument: Public-firm profit rates halved since 1980, matching trends in financial markets and suggesting low market power, while aggregate profit rates in the national accounts rose—a mismatch the authors attribute to measuring the return on capital for all firms versus the cost of capital for public firms only.

Why have US aggregate profit rates increased while financial market rates decreased since 1980? We propose a mismatch hypothesis: Profit rates in the national accounts track the return on capital for all firms, while financial market rates track the cost of capital for public firms only. We show public-firm profit rates halved since 1980, matching trends in financial markets and suggesting low market power. Mechanically, this residual private capital return series shows private capital returns had to have increased substantially to account for this secular break between aggregate and public firm profitability. The degree of this shift is significant: Private firms’ profit rates are on average 10% higher than public firms’ in the post-2000 period. Nonfinancial domestic private-firm profit rates doubled, suggesting high market power or risk. Size and sector differences cannot explain the divergence, though intangible-intensity might. Our results indicate substantial biases in extrapolating public-firm trends to the aggregate economy.

Takeaways by Macro Roundup® AI

  1. Public-firm profit rates halved since 1980, matching trends in financial markets and suggesting low market power, while aggregate profit rates in the national accounts rose—a mismatch the authors attribute to measuring the return on capital for all firms versus the cost of capital for public firms only.
  2. Private firms' profit rates averaged 10% higher than public firms' after 2000, and nonfinancial domestic private-firm profit rates doubled, which the authors say suggests high market power or risk.
  3. Size and sector differences cannot explain the divergence between private and public firm profitability, though intangible-intensity might, and the authors conclude that extrapolating public-firm trends to the aggregate economy carries substantial biases.

Description automatically generated “…Why have US aggregate profit rates increased while financial market rates decreased since 1980? We propose a mismatch hypothesis: Profit rates in the national accounts track the return on capital for all firms, while financial market rates track the cost of capital for public firms only. We show public-firm profit rates halved since 1980, matching trends in financial markets and suggesting low market power. Mechanically, this residual private capital return series shows private capital returns had to have increased substantially to account for this secular break between aggregate and public firm profitability. The degree of this shift is significant: Private firms’ profit rates are on average 10% higher than public firms’ in the post-2000 period. Nonfinancial domestic private-firm profit rates doubled, suggesting high market power or risk. Size and sector differences cannot explain the divergence, though intangible-intensity might. Our results indicate substantial biases in extrapolating public-firm trends to the aggregate economy….”

The Evidence

Public-Firm Profits Have Fallen

“…Figure 8 shows the return on book capital with separate corrections for R&D and goodwill. This figure shows our adjustments make little difference to the series. Indeed, our results show book capital profit rates are decreasing and other results in this paper are robust are a variety of different treatments of R&D and goodwill. We show the book profit rates Rb for both the IMA data and the Compustat sample in Figure 9. The two series follow each other fairly closely until the mid 1990s, when the publicly listed firm book profit rate drops markedly below the IMA book profit rate. Since then, public firm profits have fallen relative to profits in the national accounts. Figure 9 illustrates the importance of using a representative sample of firms to measure the cost of capital. Since the profit rates of public firms are different from those of private firms, it is not appropriate to apply measures of the cost of capital from public firms to the aggregate economy, which includes private firms….”

“…One alternative to analyzing the return on book in public-firm and aggregate data is to impute the replacement value of capital in Compustat using information from the IMAs. The IMAs provide the replacement and book values of the aggregate capital stock. By assuming the ratio of replacement-to-book values is the same in Compustat, we can infer the return on capital R of publicly listed firms. This approach highlight the quantitative differences in the two profit rates and their secular divergence in recent decades The left panel of Figure 10 shows the ratio of the replacement value of capital to the book value for inventories; property, plant, and equipment (PPE); and intellectual property products (IPP). Since the replacement value is typically above the book value, most of these series are above one most of the time. We can use these three series to transform our book capital profit rates back into our profit rates from above with replacement capital values, assuming Compustat firms have the same replacement-to-book ratios as in the IMA data. The right panel of Figure 10 shows this replacement-to-book ratio from the IMA data, leading to the same conclusion as before: public company profit rates have fallen….”

Increase in Private-Firm Profit Rates

“…If there is no mismeasurement of foreign and domestic activity, this residual return constitutes the return on capital for private firms in the US. We label this the private return on capital, with the important caveat that this measure has issues of measurement of foreign vs domestic activity. Figure 14 shows these results. Mechanically, this residual private capital return series shows private capital returns had to have increased substantially to account for this secular break between aggregate and public firm profitability. The degree of this shift is significant: Private firms’ profit rates are on average 10% higher than public firms’ in the post-2000 period….”

Potential Causes of Divergence

“…The first hypothesis we consider is that Compustat overrepresents large firms, so perhaps the secular shift is just driven by changes in the profit rates of large firms relative to those of smaller firms. The second hypothesis we consider is that public and private firms generally operate in different sectors Our third hypothesis posits that the disparity in profit rates between public and private firms can be attributed to the relative concentration of intangible assets capital as intangible instead of physical. To investigate this theory, we will examine whether the difference in profit rates between firms that are heavily invested in intangible assets and those that have a lower concentration of such assets explains the gap in return on the capital between public and private companies….”

“…To understand exactly how representative public firms are of the aggregate economy, we plot the number of employees, as a fraction of aggregate employment, of various types of firms. We use both BDS and Compustat employment data to make the comparison. The left panel of Figure 16 shows the employment share of primarily goods-producing (instead of primarily service-providing) Compustat and BDS firms. The BDS series shows goods production has declined in aggregate in terms of employment shares. The Compustat series shows this decline has been less pronounced for public firms. The right panel of this figure shows the fraction of employment of mega-firms in the economy overall (see the BDS series) and the fraction of public mega-firm employment from Compustat. Note that a fairly stable 30% of aggregate employment is at mega-firms, while 80% or more of total public-firm employment is at mega-firms. Unsurprisingly, Compustat is not representative in terms of sector or firm size…”

“…Figure 17 combines the weights from 16 and shows neither the firm size nor sectoral composition hypotheses alone can explain the public and private firm mismatch. The left panel shows the rewighted Compustat book returns for both the goods and services sectors. The service sector has lower returns than the goods sector, so the over-representation of goods-producing firms in Compustat means the public and private firm mismatch is all the more puzzling. The right panel shows the reweighted book returns for Compustat mega-firms and other Compustat firms, revealing that mega-firm trend returns are higher than small-firm returns. Since public firms are disproportionately mega-firms, this also fails to explain the mismatch. Note the figure only shows public firm returns by sector and size because private firm returns are not freely available. Neverthless, reweighting suggests that neither size nor sectoral composition alone can explain the divergence in profit rates of public and private firms–otherwise we would expect to see the same divergence in trends between those groups within public firms….”

“…To determine if the trend of the public-private mismatch is influenced by firms that are heavily invested in intangible assets, we compared the return on capital of firms with R&D to book capital ratios above the median to those with lower ratios. The results, depicted in Figure 18, reveal there is no significant difference in returns on capital between the two groups of firms. This suggests the discrepancy in the concentration of intangible assets between public and private firms is not a driving factor behind the public-private return on capital mismatch….”

The Brass Tacks

“…In the US, aggregate profit rates have increased while financial market rates have decreased since 1980. We call their gap the “puzzle rate” and its rise the “profit puzzle.” The profit puzzle has led to suggestions that rising markups, risk, or intangible capital are contributing factors. In this paper, we propose an alternative hypothesis: Profit rates in the national accounts track the return on capital for all firms, while financial market rates track the cost of capital for public firms only. The capital profiles of public and private firms differ and vary over time, which can lead to financial market rates misrepresenting the cost of capital faced by a representative firm. Supporting this view, there is a large literature in asset pricing documenting higher returns for private firms compared to public firms. We call thisexplanation the “mismatch hypothesis.” To test our hypothesis, we analyze data on public-firm profit rates and find they have halved since 1980, matching trends in financial markets. Our results are robust to assumptions about the capitalization of R&D and goodwill, as well as the measurement of capital stocks at book or replacement value. When adjusted for differences in depreciation and tax rates, we find a tight link between the return on and cost of public-firm capital. The puzzle rate for public firms is small and well within statistical discrepancy. Hence, we view the mismatch hypothesis as a promising solution to the profit puzzle. Subsetting to nonfinancial domestic firms so we can compare Compustat and the IMAs, we estimate public firms represent 60% of the capital stock. Inferring from the residual, we find private-firm profit rates moved in lockstep until 1980, when they diverge. Private-firm profit rates are now over twice as high as public-firm profit rates. We show this secular shift is not driven by differences in the representation of size or sector of public-firms, though intangible-intensity offers a promising direction for future research….” Carter Davis, Alexandre Sollaci and James Traina, “Profit Puzzles,” Kelley School of Business Research Paper, February 1, 2023, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4015573

Steve Comment: had a few questions about your “Profit Puzzle” paper. I’m sitting here looking at Figure 14 and find the results really surprising. Could the divergence btw private and public firm profits (given your using return to capital) largely be a function of the lower capital the intensity of private service firms? I’m shocked at the public firm series. I would have thought that would have had an upward slope given US firms’ international profits. Are taxes skewing this (Apple booking stuff in Ireland, etc)?

James Traina Comment: Thank you for reading! Capital intensity and tax differences are good hypotheses here. For the former, could you expand on what you have in mind? e.g. Are you thinking about physical vs financial capital differences? For the latter, we show in the “Solving the Puzzle” section that public vs aggregate tax rate differences are there, but they’re small and actually pointing the other way — they’re higher for public firms. That also relates to the rise of S-corps, which folks have attributed to tax advantages. The international dimension is much harder because we don’t have good data on it. Basically, there’s still a mismatch when we make our comparisons because “domestic” in Compustat means US incorporation, while “domestic” in the IMAs means US operation. It’s hard to say which direction this would bias our results. One thing that I find helpful to think about, but we didn’t fit into the paper: You can find the same kinds of results in *all* the standard profits / capital measures, e.g. ROA, ROIC, etc. So any explanation would have to work for all these measures jointly.

Steve Comment: Yes I have in mind firms of engineers, architects, or lawyers that have little physical or financial capital, but a lot of human capital. Could those firms be driving the high ROI of private firms relative to public? I’m genuinely curious about this, because it feels like a failure of economic efficiency to have private firms yielding so much more than public firms.

James Traina Comment: Ah yes, that’s possible! You’d need an accounting mismeasurement, though, where it doesn’t show up in labor income. You might be interested in this paper: https://bfi.uchicago.edu/insight/research-summary/the-rise-of-pass-throughs-and-the-decline-of-the-labor-share/ Public firms’ returns on the book value of assets are down ~ 50% from 1980 and private firms’ returns have doubled. @EconTraina @ASollaci @CarterDavisFin (135)

AI Summary. Analysis of U.S. Census data finds the share of business output from sectors with low concentration rose from 62% to 80%, while the average market share of the top four firms rose only from 34.3% to 35.3%. Industry concentration showed almost no correlation with profitability and a negative correlation with price increases.

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US economy not becoming more monopolistic, 80% of output from sectors with low concentration levels, up from 62% in 2002. @RobertAtkinson

Has monopoly power in the US economy actually increased?

Core argument: Census data show 80% of U.S. business output in 2017 came from sectors with low concentration, up from 62% in 2002, while the average C4 ratio measuring the top four firms' market share rose from 34.3% to 35.3%.

Analysis of Census data reveals that the U.S. economy is not becoming more monopolistic, with 80% of business output in 2017 originating from sectors with low concentration levels, up from 62% in 2002. The average C4 ratio, which measures the market share of the top four firms, increased only slightly from 34.3% in 2002 to 35.3% in 2017. Furthermore, highly concentrated industries, where the C4 ratio exceeds 80%, accounted for just 4% of industries. Notably, there is no significant correlation between industry concentration and profitability, with a correlation coefficient of 0.04 in 2017. Additionally, industries with higher concentration levels experienced lower price increases compared to the economy-wide producer price index (PPI), with a negative correlation of -0.31. These findings challenge the narrative of increasing monopolization and suggest that competitive dynamics remain robust across most sectors.

Takeaways by Macro Roundup® AI

  1. Census data show 80% of U.S. business output in 2017 came from sectors with low concentration, up from 62% in 2002, while the average C4 ratio measuring the top four firms' market share rose from 34.3% to 35.3%.
  2. Industries with a C4 ratio above 80% accounted for just 4% of U.S. industries, and concentration showed no significant correlation with profitability, with a correlation coefficient of 0.04 in 2017.
  3. More concentrated U.S. industries posted smaller price increases than the economy-wide producer price index, with a correlation of -0.31.

No, Monopoly Has Not Grown: Extended Excerpt Image 1


Robert Atkinson and Filipe Lage de Sousa, "No, Monopoly Has Not Grown," Information Technology And Innovation Foundation, June 7, 2021, https://itif.org/publications/2021/06/07/no-monopoly-has-not-grown

Share of Business Output, “..Figure 6 shows the percentage of sectors with low, medium, and high C4 in business output in 2002 and 2017.43 Sectors with a low concentration ratio, below 50 percent, had a much higher share in business output than medium (50-80 percent) and high (over 80 percent). Furthermore, low concentration industries became a larger share of the economy. While the low concentration sectors constituted 62 percent of the economy in 2002, by 2017, their share had grown to more than 80 percent. Inverse patterns occurred in medium and high levels of concentration. The share of economic output from highly concentrated industries fell from 10.6 percent in 2002 to 4.7 percent in 2017. In short, the U.S. economy is not becoming monopolistic, filled with giant rapacious firms gobbling up market share….”

Concentration and Profitability, "... There is essentially no relationship between industry profitability and the concentration ratio in 2017 (a correlation coefficient of 0.04)..."

The technology frontier isn’t concentrate, “…Anti-corporate populists have taken particular aim at technology sectors, claiming that “Big Tech,” particularly the Internet industry, is concentrated. However, the number of advanced technology industries with high levels of concentration is modest (see figure 5). Using the Brookings Institution list of 4-digit NAICS code of advanced technology industries, ITIF constructed a list of advanced technology industries at the 6-digit NAICS code level.34 Of 135 industries, only 8 have C4 ratios above 80 and 10 times more have C4 ratios below 50. Moreover, there were more unconcentrated tech sectors in 2017 than in 2002. The argument that tech sectors are becoming concentrated does not hold…”

Concentration and Prices, "...Surely concentration must enable firms to charge higher prices. In fact, of the 36 industries with a C4 ratio of over 70 percent in 2017, and for which there was data available on price changes from the BLS producer price index (PPI), 22 (61 percent) saw price increases from 2002 to 2017 that were lower than the economy-wideppI. In fact, the correlation between the C4 ratio and the change inppI was actually negative (-0.31), meaning the more concentrated the industry, the lower the price increase..."

The evidence, “…In 2017, 643 industries (76 percent) were unconcentrated with less than a 50 percent C4 ratio (see figure 1). A total of 173 (20 percent) were moderately concentrated with a C4 ratio between 50 percent and 80 percent. And just 35 industries (4 percent) were highly concentrated with a C4 ratio of 80 percent or more. Even at 80 percent, this means the top four firms had only 20 percent of the market share if they split it into equal shares….”

No, Monopoly Has Not Grown: Extended Excerpt Image 2

Change btw 2002-2017, “…On average, concentration increased only 1 percentage point between 2002 and 2017 after taking the simple average across all industries of the differences between C4 from both years (34.3 percent in C4 from 2002 and 35.3 percent in C4 from 2017). Given that industries with C4 ratios below 50 percent are considered unconcentrated, this is a very low number. The concentration of the eight largest firms (C8) increased even less, from 44.1 to 44.7 percent. Even considering the eight largest firms, the concentration ratio remained lower than 50 percent. Overall, 467 sectors (55 percent) increased in concentration, while 384 (45 percent) decreased (see figure 2). Again, this is hardly evidence of widespread growth of monopoly. Moreover, among the sectors that saw an increase, only 152 (18 percent of the total) increased by more than 10 percentage points..
No, Monopoly Has Not Grown: Extended Excerpt Image 3

Industry by concentration rate, “…Some industries clearly got less concentrated, while others got more. Table 1 shows the 20 industries with the greatest increases in C4 ratio. Only 30 percent had C4 ratios above 80 percent in 2017. And even for some of them, there was little risk of firms exerting much market power. For example, industries such as other performing arts companies, luggage and leather goods stores, geothermal power generation, and paint and wallpaper stores all face significant competition from firms in other industries such as movie theaters, department stores, and natural gas power generation. For some other industries, the U.S. trade balance deteriorated, meaning that imports took a larger share and provided more competition.30 This includes newsprint and electrical lighting manufacturing, in which the United States is the largest importer (importing 20 percent of the total international trade for both industries).31 For other industries, such as taxi service and travel agencies, the Internet enabled significant economies of scale and cost reductions, such as with the rise of Uber and Lift for taxis and Travelocity and Expedia for travel….”

Key factoids, “… Just 35 of 851 industries (4 percent) were highly concentrated, with the top-4 firms (the C4 concentration ratio) holding more than 80 percent of the market….In 2017,80 percent of U.S. business output was from industries with low levels of concentration, with that share increasing from 62 percent in 2002…..Fifty-five percent of industries increased concentration between 2002 and 2017; 45 percent decreased…..The average C4 ratio increased by just 1 percentage point between 2002 and 2017, from 34.3 percent to 35.3 percent, while the average C8 ratio increased even less, from 44.1 percent to 44.7 percent…..There was a slight negative correlation between the C4 level in 2002 and the percentage point change in C4 between 2002 and 2017….Among the industries with increases in concentration, only one-third increased by greater than 10 percentage points…..Of the 20 industries showing the greatest increase in the C4 ratio from 2002 to 2017, only 30 percent had C4 ratios above 80 percent in 2017…..Of the 115 industries with a C4 ratio of 60 percent or more in 2002, the majority got less concentrated, with the average C4 declining 4 percentage points…..For every advanced technology industry with a C4 ratio over 80 percent, there were 10 with a C4 ratio below 50 percent….Producer prices rose less from 2002 to 2017 in industries with higher levels of concentration than overall prices…”

Robert Atkinson and Filipe Lage de Sousa use Census data to argue that there hasn’t been an increase in concentration, asBen noted they aren’t using HHI series that the vast majority of people looking at this space do. Their bottom line, “…And the facts (data from the Economic Census) do not support assertions of monopolization. More than 80 percent of business output is in sectors with low concentration ratios, including many advanced technology industries. Moreover, from 2002 to 2017, concentration mostly stayed low and increased very little. In addition, more-concentrated industries did not on average show greater increases in prices or boosted profits than others…”

Ed Comment:I need to read this more carefully. but I think you (Ben) are missing the forest for the trees. The primary issue is not whether concentrations are measured accurately. My question is how much of the economy has concentrations large enough to matter. Surely it is the case that large sectors of the economy have no relevant concentration at all: e.g., real estate, construction, restaurants, retail, doctors. The question is: is it 80% or 20%? I suspect we can get a good approximation of the relevant measure from the census data. If it’s 80%, then the impact from increased concentration is small—the opposite of Eeckout’s contention. (And rising markups in unconcentrated sectors don’t just measure price increases; they measure macro changes in cost structures that must be accounted for as surely they do.) (As well, his change in mark ups and profits are from 1980s when profits were historically low (and interest rates were historically high). If you’re going to use that as the basis for comparison you have to show the 1980s were preferred to today, (or the 1950/60) when rates were lower and profits were higher, which is doubtful). My question is obvious. Eeckout’s failure to raise it is either cynical or stupid, highly cynical I suspect.

Ben Comment:So the biggest problem with this piece is their reliance on the C4, C8, and C50s published by census. They’re just kind of hinky measures of concentration. In fact, the authors cop to this hinkiness on page 5: “anti trust law has stressed for the last 40 years that concentration ratios … can never substitute for detailed economic analysis”. Well, it turns out, the people using census micro data to do the detailed economic analysis (instead of relying on published aggregate ratios), find that concentrations are increasing. Big picture - it’s pretty unlikely that the whole economics profession missed this basic fact. David Autor isn’t using C4 for a reason (and the reason is NOT because he’s being cynical or that he’s being stupid; he’s being careful) and when Autor does use census micro data he finds increasing concentration. Probably worth giving pause, even if you prefer this story. So why are concentration ratios like this kind of hinky? Well, first, they don’t tell us what we want to know. The % of the market controlled by the top 4 firms doesn’t tell us anything about how big each of these firms is. If the top 4 firms control 70% of the market but the top 1 firm controls 67% of the market and the other firms are 1% each, well that’s different than the top 4 companies all controlling 17.5% each. Each case has the same C4. Second, there’s no economic justification for using a concentration ratio like this. Most (all?) papers looking at concentration use micro data and calculate HHIs in the relevant markets. HHIs are model-derived measures of concentration while C4 is just a naive approach to measure concentration. Corporate classification is tough. NAICS-6 is sort of close to product level classification. It’s not exact by a long shot AND, worse, it doesn’t properly classify conglomerates or corporations who create multiple products. This is actually why most studies use NAICS-4 or -5, because most companies operate in multiple of these markets. But thoughtlessly using these classifications isn’t the answer. Why does this matter? Well, take a company like P&G. How are they classified? Is each of their products classified separately? If so, how is all the transfer pricing within the firm accounted for? If not, that leaves GAPING holes in the product markets in which P&G operates but for which it is not classified. It’s unclear from the paper exactly what C4 they’re looking at: revenue, profits, employment? I think it’s likely revenue, but is the reported revenue from the top 4 companies in an industry the right measure of …. Anything? Next, are the revenues of large companies properly assigned to their respective NAICS-6 category? If so, how? If it’s employment C4, it’s easier to get the classification correct (each establishment in the census data gets assigned its own industry classification) but then we really don’t know if and how we’re measuring what we want. In this case we’re measuring employment concentrations nationally which doesn’t really tell us anything about concentration anyway. Final thought: Their determinant of what’s concentrated (80%) vs what’s unconcentrated is arbitrary. They cite some weird investopedia type website for these classifications (citation 23) but I’ve never seen these cut off and don’t know why they’re using them. I’m not sure how sensitive their results are to this cut off. What if they used 75% instead of 80%? Anyway, to me, this seems like a pretty thoughtless exercise. I don’t think they’re really pushing the envelope in any meaningful way. I totally believe that the C4s published by the census aren’t increasing. I wouldn’t take that to mean anything.

Ed Comment: “In 2017, 80 percent of U.S. business output was from industries with low levels of concentration, with that share increasing from 62 percent in 2002.”How much impact can the other 20% have, especially if:“Producer prices rose less from 2002 to 2017 in industries with higher levels of concentration than overall prices.”

Ben Comment:I think it’s very possible that Eeckhout is overstating the importance of concentration. I agree with everything you said, but the article we were discussing (using C4s as their measure of concentration) aren’t even arguing about the effects of concentration. They’re arguing that concentration is going down, not up. And they’re doing a shoddy job of it. This is an example I sent to Steve last night: Imagine an industry with 4 exactly equal competitors. Is this industry concentrated? The C4 of this industry is 100% which is very concentrated by the standards of this paper. The HHI is 1/4 - not very concentrated after all.

Ed Comment:A few more thoughts. Concentration is increasing. I think that’s a pretty well-established fact. Were there one merger, that could be true. But it’s also the case that: 1) many industries are so fragmented that it doesn’t matter. 2) some of the increases aren’t large enough to matter in industries where the concentration matters. 3) and some increases are large but still below a Herfindahl that’s large enough to give cause for concern. 4) as we saw in another paper, many increases are in tradeable sectors that are offset by increases in foreign competition. 5) some concentrations are national competitors moving into local markets and increasing local competition. 6) some increases are just the remains of dying industries as we can see some of the sectors in the charts below 7) and some industries remain competitive despite having high concentrations. So, in addition to all the fragmented sectors, all of the above can be removed too. Looking at the 6 digit codes below, they are surprisingly detailed. Give how detailed they are, my guess is that the 80% is closer to truth than not. And when I add my 7 points above, my guess is that we are going to find that Eeckout avoided adding this obvious context because it kills his argument. Concentration that are large enough to effect prices and competition just don’t act on a large enough share of the economy to have macro effects worth fretting over. They don’t, as Eeckhout claims for example, lower wages. From having read half his book, his argument is entirely theoretical largely without evidence but for markups. The first way to judge such an argument is to examine how much space it might be acting in. My guess, from the data I’ve now glimpsed, is that it is acting in too little space to have the effects he claims.

Ed Comment:Yes, tradeable vs local will get us part of the way there, although not far enough to make a public claim, which is my goal. Hospitals are local and often highly concentrated. Much of the tradeable are international and/or low value-added with poor returns for example. They will not be concentrated either. As important, I would add that you don’t need to measure the concentration accurately for industries that aren’t concentrated, plumbers for example. (That may sound circular at first blush, but it is not). We only need to measure concentration at the margin. That’s an important insight/characteristic of evidence and analysis. “Don’t boil the ocean.” Much of the census data will be good enough to identify industries that are obviously not concentrated. Add them up and put them aside. As coaching I would tell you: 1) Don’t lose sight of the objective. Our objective is not to measure concentration precisely per se. It’s to estimate in rough terms how much of the economy is concentrated enough to matter. 2) The world starts with “No.” Always be, what I call “The Department of Yes.” Had you started with a can-do mindset, you would have recognized how useful the census data could be if used thoughtfully. That said, I’m still looking for an estimate—both a quick and dirty estimate and a more thoughtful one. First, you pitch it on to the green. Then you putt it in. Don’t fail to pitch because you have your nose so close to the paper all you’re thinking about is putting. The methods are different. Always start with quick and dirty estimate. You can/will learn a lot from them, often, everything you need to know.

Ben Comment:I agree that your question is the most important. However, to even determine how concentrated anything is you need to measure concentration correctly. This paper (and the aggregates published by the Census) surely do not. Eeckhout and Autor and all the other academics writing in this space are using the census micro data precisely because these aggregates are not the relevant measures of concentration. I think we can get decent idea of your question by look at Autor’s super stars paper from 2018 (?). I would point out, also, that your question inherently makes a distinction between local industries (all the ones you cite) and tradable industries where you’d have to measure concentration nationally. I’m willing to bet someone has done this study. Steve, have you run across anything like this?

AI Summary. The authors estimate that aggregate markups over cost rose from 18% to nearly 67% between 1980 and 2014, concentrated among firms that already had high markups, which they interpret as a rise in market power. They associate this increase with declining labor and capital shares, lower low-skill wages, reduced labor force participation, fewer startups, and wider wage inequality.

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According to @DeLoockerJan @JanEeckhout @GabrielUnger, aggregate markups have surged from 18% to nearly 67% since 1980, driven by firms with already high markups, indicating a rise in market power.

Have rising markups reshaped wages, labor shares, and business formation?

Core argument: Aggregate markups rose from 18% in 1980 to nearly 67% by 2014, driven by firms that already had high markups, indicating a rise in market power.

Since 1980, aggregate markups have surged from 18% to nearly 67% by 2014, driven by firms with already high markups, indicating a rise in market power. This increase correlates with several macroeconomic trends: a decline in labor and capital shares, reduced low-skill wages, and decreased labor force participation. Additionally, the startup rate of new firms has fallen due to higher barriers, while wage inequality has risen as low-skill wages decrease and skilled wages increase. The rise in market power has also led to higher inflation rates than would have occurred without it, suggesting that anti-trust policy, rather than monetary policy, is needed to address this inflation. Furthermore, the stock market is overvalued relative to a competitive economy, as current profit levels are significantly higher than in 1980. Technology plays a crucial role in enabling firms to maintain market power, with no signs of a substantial decrease in markups in the near future.

Takeaways by Macro Roundup® AI

  1. Aggregate markups rose from 18% in 1980 to nearly 67% by 2014, driven by firms that already had high markups, indicating a rise in market power.
  2. The rise in market power correlates with declining labor and capital shares, lower low-skill wages, reduced labor force participation, a falling startup rate amid higher barriers, and wider wage inequality.
  3. Market power has produced higher inflation than would have occurred otherwise, suggesting anti-trust rather than monetary policy as the remedy, and leaves the stock market overvalued relative to a competitive economy.

New NEBR paper, suspect will be hearing for about it from the left as it's arguing that the decline of the labor share, decline of capex, as well as the decline in low-skilled wages all are given a tailwind by the increase in markups and market power

given that within industry they found the highest markups went to firms that already had the highest markups seems like it could be the rise of superstar firms as opposed to market power.

"...Using micro data on the accounts of publicly traded firms in the US starting in 1950, we find that markups have been relatively constant between 1950 and 1980 at around 20% above marginal cost. From 1980 onwards, there has been marked change in this pattern with markups steadily rising from 18% to nearly 67% in 2014, a three and a half fold increase. We have documented the properties of this rise, which is mainly due to a change within industry, and which can be attributed mostly to the increase of markup of the firms with the highest markups already.Markups tend to be larger in smaller firms, but this seems to be due mainly to a composition effects across industries as this disappears when we decompose the markup at the fine industry level. We use this increase to investigate the implications this has for secular macroeconomic trends in the last decades: 1. decrease in labor share; 2. decrease in capital share; 3. decrease in low skill wages; 4. decrease in labor force participation; 5. decrease in labor flows; 6. decrease in migration rates; 7. slowdown in output and GDP. There are of course other secular trends that happen to coincide with the increase in market power: 1. decrease in startup rate of new firms due to higher barriers erected by incumbents 2. decrease in the long term interest rate due to the fall in demand for capital (due to quantity reduction of firms with market power) and an increase in the supply of capital (due to higher profits); 3. the increase in wage inequality46 from to the decrease in low skill wages as documented above together with an increase in skilled wages due to profit sharing by managers; 4. the great moderation, or the idea that output fluctuations have decreased since 1980, has lost appeal since the great recession, but which is still very much observed in the data, especially in the last decade, with of course, the notable exception of 2008. As we have shown, with incomplete pass-through the same individual firm level productivity shocks lead to lower output adjustments. There is evidence however that the transmission of aggregate shocks is also incomplete. As a result, higher market power would translate in smaller aggregate fluctuations GDP in response to aggregate shocks as well. While we believe that each of these four secular trends are as important as, if not more important than, the ones we have analyzed, we leave them as a priority for future research. There are two profound policy consequences that result from the rise in market power.The first relates to inflation. Relative to a scenario without a rise market power and with the same evolution of technology, prices would have gone up by 1% per year (42% over 35 years, from 1.18 to 1.67). This implies that inflation has been higher than it would have been without the rise in market power.This is surprising given the low inflation rates in the last decades - and particularly low ones since the great recession. Of course, monetary policy is not the appropriate policy tool to remedy that source of inflation. That would be the prerogative of anti-trust policy. The second consequence pertains to the value of the stock market. Stocks prices reflect the discounted flow of dividends and thus profits. The stock market under market power is therefore overvalued relative to a competitive economy. If investors believe that the current profit level that is four times higher than in 1980 is permanent, then we would expect that the stock market capitalization would be four time higher than under perfect competition. That would put the Dow Jones at 5,500 instead of its nearly 22,000 level today. Of course, that is a naïve calculation since market capitalization also reflects the extensive margin, the total value of goods sold, and that decreases with market power. How big the effect of market power is on the stock market value depends on the elasticity of demand. Note also that the stock market can go up if output deceases, for example when productivity growth is zero and market power and hence profits increase. In the presence of market power, the stock market is therefore not a good gauge of an economy’s output. While we have focused on the consequences of the rise in market power, in this paper we have remained silent on the causes. Especially when it comes to finding remedies, it is essential to understand the causes. We limit ourselves to listing a number of candidate explanations: the rise of merger & acquisition activity (Figure B.9 in the Appendix), deregulation, the higher share of network goods, the increase in wholesale transaction (Ganapati (2016)), private equity, improved product differentiation, increased vertical and financial integration of competitors. A common factor in each of these is technology. Rapid technological change allows firms to better create and preserve situations of market power. Markups are reaching heights multiple times higher than ever seen, at least since the second world war when our data start. It is open to speculation whether this trend will continue, but for now there are no signs that markups will decrease substantially any time soon..."

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De Loecker, Jan, Jan Eeckhout, and Gabriel Unger. November 22, 2018. “The Rise of Market Power and the Macroeconomic Implications.” NBER.http://www.janeeckhout.com/wp-content/uploads/RMP.pdf

AI Summary. Firms that invest heavily in intangible capital produce and invest more per dollar of invested capital, and the authors find they do not meaningfully restrict output or raise prices to earn above-normal returns. Adjusting profitability for research and development and organizational capital narrows the measured gap between top firms and the rest.

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Star firms associated with market power but star firms produce and invest more per dollar of invested capital.

Do star firms' high returns reflect mismeasured intangible capital?

Core argument: The ratio of the 90th-percentile firm's return on invested capital to the median firm's has risen more than 69% over the past three decades, but accounting for R&D and organizational capital narrows the profitability gap between top firms and the rest.

Star firms, characterized by their significant investment in intangible capital, exhibit higher production and investment per dollar of invested capital compared to other firms. Despite their market power, these firms do not significantly reduce output or raise prices to achieve supernormal returns. Adjustments for intangible investments reveal only a modest increase in market power, particularly in high-skilled industries. The ratio of the 90th percentile ROIC [Return on Invested Capital] firm to the median has surged by over 69% in the past three decades, yet when accounting for R&D and organizational capital, the profitability gap between top firms and others narrows. This suggests that the perceived divergence is largely due to mismeasurement of intangible assets, underscoring the importance of maintaining contestable markets to foster independent technological advancements.

Takeaways by Macro Roundup® AI

  1. The ratio of the 90th-percentile firm's return on invested capital to the median firm's has risen more than 69% over the past three decades, but accounting for R&D and organizational capital narrows the profitability gap between top firms and the rest.
  2. Star firms, defined by heavy investment in intangible capital, produce and invest more per dollar of invested capital than other firms and do not markedly cut output or raise prices to earn supernormal returns.
  3. Adjusting for intangible investment yields only a modest increase in measured market power, particularly in high-skilled industries, suggesting the apparent divergence largely reflects mismeasurement of intangible assets.

Meghana Ayyagari, Asli Demirguc-Kunt, and Vojislav Maksimovic, “The Rise of Star Firms: Intangible Capital and Competition,” Social Science Research Network, June 8, 2020, https://papers.ssrn.com/sol3/papers.cfm

Note their return on invested capital is pre-tax

Figure 3 shows adjusting for intangibles lowers ROIC as the increase in invested capital is > uptick in earnings.

Paper goes on to adjust the markups:“…. Furthermore, once we adjust markups based on operating expenses for investment in intangible capital, we only find a modest increase in market power especially in high skilled industries. Star firms tend to be larger, younger, and have higher markups. While they may have more pricing power than other firms, at each level of markup star firms tend to produce more than other firms. We also find no evidence that star firms are differentially affected by import competition compared to other firms in the economy. Overall, we see little evidence that these star firms are using their market power to reduce output and raise prices to achieve super normal returns more than other firms.However, there may be reason for concern regarding a smaller subset of elite publicly-listed firms. The usual suspects for membership in such an elite group are Apple, Facebook, Google, Amazon, and Microsoft. When we examine these firms individually, the ROIC and markups of most of these elite firms do not seem extraordinary initially and then explode but again only for a couple of firms that have built up a large enough market. Even for these firms, the critical policy concern may not only be the regulation of their use of market power today, but also the need to maintain contestable markets that allow the creation of independent technologies in the future….”

“…Figure 1 shows that there is a large rise in capital returns over the past three decades where the ratio of the 90th percentile ROIC firm to the median ROIC firm has increased by over 69%. We also see that the divergence of the top decile of firms from the rest of the economy really takes off in the 1990s…conventional financial statements do not capitalize R&D expenditures or organizational capital. Once we adjust firms’ returns to capital to address these shortcomings, there is little evidence that the most profitable 10% of firms are pulling away from the rest of the economy, and the differences in firm returns in highly skilled and other industries shrink dramatically…”

More pushback at market power hypothesis. Paper finds that the divergence btw “star” firms and the rest of the economy is largely explained by mismeasurement of intangible capital. The leading firms produce and invest more per dollar of invested capital:

Ed Comment:Mark this important, very important. Ps I wonder how this effect the Gordon’s calculations on contributors productivity. This says intangible investment is mismeasured. Add this note to the Gordon entry with a link to this paper.