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Friday, May 14, 2021

Comment: Tax Evasion at the Top of the Income Distribution: Theory and Evidence

AI Summary. The authors argue that a widely cited estimate of tax evasion overstates it by about $460bn, reaching $1,230bn in filer evasion versus roughly $770bn implied by national accounts. They attribute the gap to detection-controlled estimation multipliers that reallocate detected evasion disproportionately to top income brackets.

David Splinter Working Paper
Date Posted:
May 14, 2021
Is Database:
Database

@DavidSplinter Working Paper: Auten and Splinter argue that Zucman’s methodology overestimates tax evasion by approximately $460bn.

Are estimates of tax evasion by top earners overstated?

Core argument: Auten and Splinter argue that Zucman's methodology overstates tax evasion by roughly $460bn, with his estimate of $1,230bn in filer evasion exceeding the roughly $770bn reported in national accounts by more than half.

Auten and Splinter argue that Zucman's methodology overestimates tax evasion by approximately $460bn. They highlight that Zucman's approach, which includes detection-controlled estimation (DCE) multipliers, significantly inflates evasion figures by reallocating detected evasion disproportionately to the top income brackets. Their analysis suggests that national accounts report about $770bn in filer evasion, while Zucman's estimates reach $1,230bn, including capital gains not accounted for in national income. This discrepancy indicates that Zucman's figures exceed national income estimates by more than half, suggesting a need for more distributionally consistent methods to assess true top income shares and underreporting rates.

Takeaways by Macro Roundup® AI

  1. Auten and Splinter argue that Zucman's methodology overstates tax evasion by roughly $460bn, with his estimate of $1,230bn in filer evasion exceeding the roughly $770bn reported in national accounts by more than half.
  2. Auten and Splinter contend that Zucman's detection-controlled estimation multipliers inflate evasion figures by reallocating detected evasion disproportionately to top income brackets.
  3. Auten and Splinter note that Zucman's $1,230bn evasion estimate includes capital gains not counted in national income, and they call for more distributionally consistent methods to assess top income shares and underreporting rates.

Gerald Auten and David Splinter, "Comment: Tax Evasion at the Top of the Income Distribution: Theory and Evidence," Working Paper, May 5, 2021, http://www.davidsplinter.com/AutenSplinter-TaxEvasion.pdf

Their takeaway, “…While some increase in high-income audit rates may be appropriate, additional enforcement resources could also help audit selection by better identifying returns with lower reported incomes but higher likelihood of evasion. The combined efforts and increased cooperation of IRS divisions could lead to improved methods of selecting returns for audit and help maintain high ROIs for enforcement activities…. We note in this comment, however,that estimates of evasion not detected in NRP audits using simple DCE multipliers and allocating in proportion to reported income are not distributionally consistent. Moreover, we believe these approaches tend to overstate true top incomes and underreporting rates. We suggest alternative methods that would be more distributionally consistent. These suggest substantially less impact of evasion on top income shares. We are aware that there is considerable additional sophisticated evasion by some high-income individuals not found in NRP audits….”

They make the case this overstates the top income share, “.. Two-thirds of the estimated increase in top income shares results from applying DCE multipliers. This approach causes exaggerated upward re-ranking of returns with large amounts of detected evasion,shifting estimated evasion from the bottom and middle to the top of the income distribution. The second largest increase in top shares results from allocating additional passthrough evasion by reported income. However, returns with business losses appear to be allocated little additional evasion despite accounting for over one third of evaded income….While offshore evasion has received considerable attention, it accounts for only a small portion of the total effect on top income shares….”
Bottomline, “…National accounts explicitly break out proprietor evasion (combined amount for sole proprietors and partnerships) of $561 billion and wage evasion of $75 billion when averaging 2006-2013 (at 2012 dollars). Auten and Splinter (2019a, online data Table T1) provide estimates of likely evasion in national accounts for other income sources. For 2006-2013, there is annual evasion of about $44 billion for farms, $43 billion for rents, and $80 billion for S corporations. To compare with GLRRZ, there are smaller amounts for dividends and interest evasion that should be added and non-filer portions that should be removed from the values above. If we assume the former is $50 billion and the latter is 10 percent,this suggests about $770 billion in filer evasion in national income. In comparison, GLRRZ add $1,304 in audit-based evasion in 2012 (Table A6, exam and DCE columns). But this amount includes capital gains realizations that are not in national income. Excluding $70 billion in added evaded capital gains (5.3 percent of total based on Table A1) suggests that GLRRZ add audit-based filer evasion comparable to national income definitions of about $1,230 versus about $770 billion in national income.11 Therefore, the GLRRZ filer evasion estimate appears to exceed amounts in national income by $460 billion, or more than one half.This represents an additional 3 percent of national income…”

They describe Zucman’s methodology, “…GLRRZ’s analysis has four steps. First, it uses audit study micro data to add detected evasion. Second, GLRRZ imputes undetected evasion using a set of multipliers developed from earlier audit data. These multipliers are from detection-controlled estimation (DCE) and can nearly quadruple the amount of evasion in audit studies.Third, it adds imputations of additional evasion from passthrough entities (including partnerships, S corporations, and certain other sources). The amounts already in the NRP audits are removed and then this assumed total passthrough evasion is allocated by reported income, such that essentially all goes to the top of the distribution. Fourth, GLRRZ estimates how income from offshore wealth affects income distributions... Combining the four components of estimated evasion, GLRRZ argue that top 1% fiscal income shares increase by 1.5 percentage points (pp). This includes a 0.5pp decrease from detected evasion, 1.1pp increase from undetected evasion using DCE multipliers, 0.6pp increase from additional business evasion, and 0.3pp increase from income of offshore wealth..”

Ben and I both read Auten and Splinter arguing Zucman and his fellow travelers are likely overstating tax evasion at the top. However they don’t have a quantification table in the paper so we can’t exactly draw out the calculation you were interested in. AS do note a directional answer in the text, “…this suggests about $770 billion in filer evasion in national income. In comparison, GLRRZ add $1,304 in audit-based evasion in 2012 (Table A6, exam and DCE columns). But this amount includes capital gains realizations that are not in national income. Excluding $70 billion in added evaded capital gains (5.3 percent of total based on Table A1) suggests that GLRRZ add audit-based filer evasion comparable to national income definitions of about $1,230 versus about $770 billion in national income.11 Therefore, the GLRRZ filer evasion estimate appears to exceed amounts in national income by $460 billion, or more than one half…”

Ben Comment:“I did a deeper dive this weekend to work out a quantification like you asked for. I didn’t really see a good way to do that because AS don’t have access to the micro data. There’s no where in the paper where they say “we think Zucman et al overestimate things by X%”. That said, they do give some other papers to compare with. I’m laying that out below with some caveats.Steve, anything to add? AS highlight several issues with the Zucman methodology and suggest the Zucman estimate is too high. Their main 2 points are 1) Marco adjustments (DCE multipliers) are inappropriate for micro data and 2) allocating too much passthrough tax-evasion to the top end of the income distribution. That said - Section 2.b has a nice comparison:National accounts explicitly break out proprietor evasion (combined amount for sole proprietors and partnerships) of $561 billion and wage evasion of $75 billion when averaging 2006-2013 (at 2012 dollars). Auten and Splinter (2019a, online data Table T1) provide estimates of likely evasion in national accounts for other income sources. For 2006-2013, there is annual evasion of about $44 billion for farms, $43 billion for rents, and $80 billion for S corporations. To compare with GLRRZ, there are smaller amounts for dividends and interest evasion that should be added and non-filer portions that should be removed from the values above. If we assume the former is $50 billion and the latter is 10 percent, this suggests about $770 billion in filer evasion in national income. In comparison, GLRRZ add $1,304 in audit-based evasion in 2012 (Table A6, exam and DCE columns). But this amount includes capital gains realizations that are not in national income. Excluding $70 billion in added evaded capital gains (5.3 percent of total based on Table A1) suggests that GLRRZ add audit-based filer evasion comparable to national income definitions of about $1,230 versus about $770 billion in national income.11 Therefore, the GLRRZ filer evasion estimate appears to exceed amounts in national income by $460 billion, or more than one half. This represents an additional 3 percent of national income.So compared to the GLRRZ (Zucman paper) overshoots the NIPA estimates by almost 60% ($460Billion over estimate from NIPA estimate of evasion of 770B). As far as I understand, the first paragraph says the AS 2019a estimate it in line with the NIPA estimate. I would say these are the bounds. The Zucman estimate exists because they think evasion in the official accounts is understated - so I’d take this as a lower bound. However, AS make a compelling case that the Zucman number is overstated - so this would be our upper bound. If we split the difference, we come to 996.5B in evasion. Then there is the issue of attributing evasion appropriately. This is a tough issue and, while it seems clear that Zucman doesn’t do it right, AS don’t really suggest what the proper allocation is. I also want to note that on pg 13, AS point out that there is a Piketty Saez zucman (2018) paper that says there is about 637B in evasion - Lower than the official NIPA accounts. This paper allocates about 40% (250B) of this evasion to the top 1%.”

  • Taxation

Monday, May 17, 2021

U.S. Market Concentration and Import Competition

AI Summary. U.S. manufacturing market concentration remained stable once foreign firms' sales are included in the measures, with foreign firms' market shares doubling from 6.9% to 14.4% among lower-ranked firms while staying below 3% for top-ranked firms. The authors estimate import competition accounts for half of the decline in concentration among the top 20 U.S. firms.

Mary Amiti and Sebastian Heise Federal Reserve Bank of New York
Date Posted:
May 17, 2021
Is Database:
Database

US manufacturing market concentration remained stable btw 1992-2012 when accounting for foreign firms’ sales.

Does including foreign firms' sales change measured U.S. manufacturing concentration?

Core argument: U.S. manufacturing market concentration remained stable between 1992 and 2012 once foreign firms' sales were included, with the inclusion of foreign firms mitigating measured concentration increases across industries.

Between 1992 and 2012, U.S. manufacturing market concentration remained stable when accounting for foreign firms' sales. The inclusion of foreign firms in market concentration measures mitigated the rise in concentration across various industries. Foreign firms increased their presence, particularly in the lower sales distribution, counteracting the concentration growth among U.S.-based firms. Industries with high import penetration in 1992 saw a decline in concentration due to increased import competition, while those with low import penetration experienced a rise. Import competition led to a reduction in the market share of large U.S. firms, with foreign firms' market shares doubling from 6.9% to 14.4% in lower ranks, while remaining below 3% for top-ranked firms. This dynamic suggests that import competition accounts for half of the decline in concentration among the top 20 U.S. firms, highlighting the importance of including foreign sales in market analysis.

Takeaways by Macro Roundup® AI

  1. U.S. manufacturing market concentration remained stable between 1992 and 2012 once foreign firms' sales were included, with the inclusion of foreign firms mitigating measured concentration increases across industries.
  2. Foreign firms' market shares in lower-ranked positions doubled from 6.9% to 14.4% while remaining below 3% among top-ranked firms, counteracting concentration growth among U.S.-based firms.
  3. Industries with high import penetration in 1992 saw concentration decline while those with low import penetration saw it rise, and import competition appears to account for half of the concentration decline among the top 20 U.S. firms.

Core findings, one"…Market concentration in U.S. manufacturing, adjusted for foreign firms, remained stable between 1992 and 2012. ... once the market shares of foreign firms are taken into account, we find that market concentration did not rise but instead remained flat between 1992 and 2012.... Furthermore, our results are not driven by just a handful of industries. We find that the inclusion of foreign firms in the market concentration measure attenuates the rise in concentration between 1992 and 2012 in a broad range of industries...."

Two, "...Foreign firms have increased their presence among the top 20 firms, but their share in the top 20 remains low. Foreign firms’ largest growth has been in the bottom part of the sales distribution…we reconcile the flat trend in overall market concentration with the previously documented rise in domestic concentration by showing that the growth of foreign firms’ market shares was mostly at the bottom of the sales distribution...Our comprehensive firm-level data allows us to pinpoint which part of the market share distribution foreign firms enter. We find that the entry of foreign firms with small market shares counteracted the increase in concentration among U.S.-based firms, generating the flat trend in overall concentration..."
Three, "…. market concentration fell mostly in those industries with high import penetration in 1992, which are also those industries that experienced the fastest growth in import competition over the following 20 years. In contrast, concentration rose in industries with low import penetration. Effectively, domestic and overall concentration differ the most in industries where foreign firms play a significant role. For example, import-competing industries, such as electronics, are the ones that were further liberalized and became less concentrated. By contrast, industries like concrete remain fairly closed to trade and thus do not face the increased competition from foreign firms...."
Evidence, “...Is the stable trend in market concentration driven by a few large industries or does foreign competition reduce concentration more broadly? To explore this question, Figure 2 plots the change between 1992 and 2012 in the top 20 domestic concentration measure on the x-axis against the change in the top 20 overall market concentration measure on the y-axis as a bin scatter. We bin the industries by ranking them by the change in their domestic concentration measure, and then combine them into 20 groups of 8-9 industries each.7 Each bubble depicts one of these groups, with the size of the bubble proportional to the industry group’s total absorption, defined as total shipments by U.S. firms minus exports plus total imports. The figure shows that nearly all of the bubbles are below the 45- degree line, indicating that accounting for foreign firms’ sales in the U.S. results in a smaller increase in concentration in almost all industry groups than the domestic concentration measures would suggest. However, there is a wide range in the size and direction of changes in concentration, and even with the full measure concentration rose in a number of industries, as shown by the bubbles in the top right quadrant. The reason the entry of foreign firms did not increase market concentration is because their entry and growth was mostly in the bottom part of the market share distribution, with the loss in domestic shares completely offset by the gain in foreign shares as predicted by models with a Pareto distribution. Combining the foreign firm-level sales data with those of U.S. firms reveals the following novel fact…. Thus, the height of the first bar shows that the market share of all of the number 1 ranked firms amounts to 12 percent of all manufacturing sales in 1992.8 We split each bar into the market share accounted for by domestic firms in blue and by foreign firms in red. It turns out that foreign firms with rank 1 account for a market share of virtually zero in the aggregate. This is mostly due to the fact that there are very few industries where foreign firms rank in the top 20. Consequently, nearly all of the market share of firms with rank 1 is accounted for by domestic firms. To see how these patterns evolved over the sample period, we plot the analogous information for 2012 with lighter colors. A clear pattern emerges, showing that the largest growth in foreign sales is in the bottom part of the distribution. Foreign firms with a rank higher than 50 more than doubled their market share from 6.9 percent to 14.4 percent. By contrast, the foreign shares of the top ranked firms remained low on average, below 3 percent for each of the top seven bins..."

U.S. Market Concentration and Import Competition: Extended Excerpt Image 1

U.S. Market Concentration and Import Competition: Extended Excerpt Image 2


Bottom line, "...We show that once foreign firms’ sales in the U.S. are taken into account, market concentration did not rise but instead remained flat between 1992 and 2012. We reconcile the flat trend in market concentration with the previously documented rise in domestic concentration by showing that the growth of foreign firms’ market shares was mostly at the bottom of the sales distribution, counteracting the increase in concentration among U.S.-based firms. Consistent with the theory, we show that import competition caused an increase in domestic market concentration among U.S. firms as well as exit. In contrast, import competition caused the largest U.S. firms to lose sales as a share of total sales in the U.S. market, inclusive of both foreign and domestic firms...our results suggest that import competition accounts for half of the overall decline in market concentration of the top 20 U.S. firms. These contrasting results highlight the importance of the definition of a market in understanding the relationship between import competition and concentration. When we only consider the sales of the top U.S. firms relative to the sales of other U.S. firms, we find that larger firms gained market share in industries with tougher import competition, and hence concentration appears to have risen. However, comparing the market share of the top U.S. firms to all sales in the U.S. market, inclusive of foreign firms’ sales, we find that the sales share of large U.S. firms actually shrank….”
Their findings have implications for views on market power, "... Interpreting our findings through the lens of these models suggests that markups of domestic firms have fallen and those of foreign firms have risen, offsetting each other resulting in stable aggregate markups...."
Mary Amiti and Sebastian Heise, "U.S. Market Concentration and Import Competition," Federal Reserve Bank Of New York, May 2021, https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr968.pdf

Ben Comment:“…It’s hard to get a sense of exactly how well their import data maps into the CMF. They say they don’t count US-firm imports because that’d be double counting. Im not sure that that’s right. The CMF is an establishment level data set and if the establishments are overseas, I don’t know how their sales would get into it. If they’re not counting US company foreign production, that would be a big issue since concentration is exactly the thing they’re trying to measure. I’m not surprised their discussion here is sparse. There are big disclosure issues at the census so it’s not really surprising. They also have a model and a few regressions but those are all secondary to the headline result - the whole concentration literature, at least in manufacturing, is wrong. Certainly throws a wrench in Eeckhout’s argument (in manufacturing)….”

Research from FRBNY using census data from the American manufacturing sector finds"..we show that typical measures of concentration, once adjusted for sales by foreign exporters, actually stayed constant between 1992 and 2012..Although concentration among U.S.-based firms rose, the growth of foreign firms, mostly at the bottom of the sales distribution, counteracted this increase. We find that higher import competition caused a decline in the market shares of the top twenty U.S. firms..."

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