Does the US individual income tax display systemic racism? Negative evidence from audited US federal tax return data for 1967–73

Abstract Official statistics from the US Bureau of Labor Statistics and the US Bureau of the Census have long documented differences by ethnicity in employment rates and incomes. Recently, it has been suggested that the structure of the US federal individual tax system is 'systemically racist' which we interpret to mean that the application of the Internal Revenue Code through collection of individual income taxes adversely affects African American compared to White individuals and households. This paper contributes to the public discussion of possible systemic racism in the US tax system issue by studying an unusual set of US individual income tax data. These data differ from those used in other studies in two important ways. First, race is not imputed but obtained from the administrative records of the Social Security Administration. Second, the income tax data are audited tax return data. Using these audited and administratively matched data, we estimate effective income tax functions with an explicit role for race. After accounting for the basic structure of the US tax system, we find no statistical evidence of systemic racism in the operation of the US federal individual income tax during the period under study. Our results show that once income and filing status are taken into account, the effective tax rate tax did not vary by race—a finding that remains robust across multiple checks.

Institutions

Publication Details

Journal
Public Choice
Published
2025-12-17
DOI
https://doi.org/10.1007/s11127-025-01340-y
Primary Topic
Taxation and Compliance Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does the US individual income tax display systemic racism? Negative evidence from audited US federal tax return data for 1967–73

Public Choice
Taxation and Compliance Studies
article

Does the US individual income tax display systemic racism? Negative evidence from audited US federal tax return data for 1967–73

article en

Abstract

Abstract Official statistics from the US Bureau of Labor Statistics and the US Bureau of the Census have long documented differences by ethnicity in employment rates and incomes. Recently, it has been suggested that the structure of the US federal individual tax system is 'systemically racist' which we interpret to mean that the application of the Internal Revenue Code through collection of individual income taxes adversely affects African American compared to White individuals and households. This paper contributes to the public discussion of possible systemic racism in the US tax system issue by studying an unusual set of US individual income tax data. These data differ from those used in other studies in two important ways. First, race is not imputed but obtained from the administrative records of the Social Security Administration. Second, the income tax data are audited tax return data. Using these audited and administratively matched data, we estimate effective income tax functions with an explicit role for race. After accounting for the basic structure of the US tax system, we find no statistical evidence of systemic racism in the operation of the US federal individual income tax during the period under study. Our results show that once income and filing status are taken into account, the effective tax rate tax did not vary by race—a finding that remains robust across multiple checks.

Public Choice
Universidade Católica Portuguesa (PT), University of Rochester (US)
No poverty
Openalex Percentile: Top 23%
Taxation and Compliance Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.