Life-Cycle Variation in the Association between Current and Lifetime Earnings
Abstract
Researchers in a variety of important economic literatures have assumed that current income variables as proxies for lifetime income variables follow the textbook errors-in-variables model. In our analysis of Social Security records containing nearly career-long earnings histories for the Health and Retirement Study sample, we find that the relationship between current and lifetime earnings departs substantially from the textbook model in ways that vary systematically over the life cycle. Our results can enable more appropriate analysis of, and correction for, errors-in-variables bias in any research that uses current earnings to proxy for lifetime earnings.
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Earnings levels at age 28 are highly correlated with earnings at later ages.
“Although individuals' earnings trajectories remain quite steep at age 28, earnings levels at age 28 are highly correlated with earnings at later ages (Haider and Solon 2006), a finding we confirm within the tax data in online Appendix Figure 4.”
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- Authors
- Haider, S., & Solon, G.
- Affiliations
- Michigan State University (US)
- University of Michigan (US)
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2006-09-01
- Volume
- 96
- Issue
- 4
- Pages
- 1308-1320
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3122812335
- Cited by
- 744
- References
- 0
- Citations by year
- 2026: 27 · 2025: 31 · 2024: 33 · 2023: 41 · 2022: 40 · 2021: 39 · 2020: 48 · 2019: 56 · 2018: 31 · 2017: 37 · 2016: 46 · 2015: 39 · 2014: 39 · 2013: 43 · 2012: 30
- FWCI
- 71.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Economic Review (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
- Social Sciences › Demography › Retirement, Disability, and Employment
- Keywords
- errors-in-variables bias, current earnings, lifetime earnings, life-cycle earnings, earnings measurement, Health and Retirement Study, measurement error
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