Do high top marginal rates raise taxes paid by top earners?
Core argument: In 1962, only 447 of 71m U.S. tax filers paid the 91% top marginal rate, and the top 1% paid just 16.1% of their income in taxes.
Analyzing tax data reveals that while top marginal tax rates have historically been high, the actual taxes paid by top earners as a percentage of income are significantly lower. In 1962, the top tax rate was 91%, yet only 447 out of 71m filers paid this rate, with the top 1% paying just 16.1% of their income in taxes. By 1988, the top rate fell to 28%, but the top 1% paid 21.5% of their income in taxes, illustrating that lower rates did not reduce the tax burden on high earners. The top 10% of earners in the U.S. pay a higher share of income taxes compared to their counterparts in other developed nations, with a progressivity ratio of 1.35. This data suggests that while high marginal rates are proposed, they have rarely been collected from a significant number of taxpayers, raising questions about their economic impact and effectiveness in increasing revenue without stifling growth.




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%.”