Declining earnings inequality, rising income inequality: What explains discordant inequality trends in the United States?

From 2010 to 2019, personal earnings inequality declined in the United States (U.S.) for the first time in decades, yet household income inequality continued to increase. Discordance between the inequality trends reached its highest rate in recent history. We introduce a framework to decompose differences in inequality trends. We find that 46% of post-2010 discordance in inequality trends is due to changing household composition, namely a larger share of young workers living with their parents and combining low (but increasing) personal earnings with high household incomes. The remaining discordance stems from increases in private income among higher-earning households and declining redistributive effects of government transfers. Declines in personal earnings inequality do not imply declines in household income inequality. • Despite declining earnings inequality, US household income inequality has increased. • Discordance between earnings and income inequality trends peaked during 2010–2019. • Changing household composition explains 46% of discordant inequality trends post-2010. • One key contributor: the rising share of low-earning young adults living with parents. • Declining redistribution from SNAP & EITC largely explains the remaining discordance.

Authors

Institutions

Publication Details

Journal
Journal of Public Economics
Published
2025-03-20
DOI
https://doi.org/10.1016/j.jpubeco.2025.105337
Citations
3
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
9.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Declining earnings inequality, rising income inequality: What explains discordant inequality trends in the United States?

Nathan Wilmers, Zachary Parolin, Lukas Lehner
3 citations
Journal of Public Economics
Labor market dynamics and wage inequality
9.39
article

Declining earnings inequality, rising income inequality: What explains discordant inequality trends in the United States?

Nathan Wilmers, Zachary Parolin, Lukas Lehner
article en
3 citations

Abstract

From 2010 to 2019, personal earnings inequality declined in the United States (U.S.) for the first time in decades, yet household income inequality continued to increase. Discordance between the inequality trends reached its highest rate in recent history. We introduce a framework to decompose differences in inequality trends. We find that 46% of post-2010 discordance in inequality trends is due to changing household composition, namely a larger share of young workers living with their parents and combining low (but increasing) personal earnings with high household incomes. The remaining discordance stems from increases in private income among higher-earning households and declining redistributive effects of government transfers. Declines in personal earnings inequality do not imply declines in household income inequality. • Despite declining earnings inequality, US household income inequality has increased. • Discordance between earnings and income inequality trends peaked during 2010–2019. • Changing household composition explains 46% of discordant inequality trends post-2010. • One key contributor: the rising share of low-earning young adults living with parents. • Declining redistribution from SNAP & EITC largely explains the remaining discordance.

Journal of Public EconomicsVol. 244
Vienna University of Economics and Business (AT), Massachusetts Institute of Technology (US), Bocconi University (IT), University of Edinburgh (GB)
European Commission, European Research Council
No poverty
Openalex Percentile: Top 3%
Labor market dynamics and wage inequality
9.39
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.