The study in question is TAX EVASION AT THE TOP OF THE INCOME DISTRIBUTION: THEORY AND EVIDENCE by John Guyton, Patrick Langetieg, Daniel Reck, Max Risch and Gabriel Zucman
http://gabriel-zucman.eu/files/GLRRZ2021.pdf
The authors use a variety of methods to estimate the amount of tax evasion, including random audits, tax amnesties, and leaks of offshore account information. They find that the top 1% of earners in the U.S. avoid paying approximately 25% of their federal income taxes, which amounts to around $175 billion in revenue lost each year.
While each method has its limitations, the authors acknowledge these limitations and attempt to address them in their analysis. For example, they use statistical models to extrapolate the results from random audits to the population of taxpayers, and they adjust for underreporting and other factors that may bias their estimates.
Overall, while it is impossible to know the exact amount of tax evasion at the top of the income distribution, the methods used in this study are generally considered reliable and provide a reasonable estimate of the extent of tax evasion among top earners in the U.S.
The paper also discusses the various methods that top earners use to evade taxes, including offshore tax havens, pass-through businesses, and underreporting income. The authors suggest that more aggressive enforcement efforts, such as increased audits and penalties for tax evasion, could help to reduce the tax gap and increase revenue for the government.