No, Monopoly Has Not Grown
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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

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….”
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..
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?