Replication data for: Life-Cycle Variation in the Association between Current and Lifetime Earnings
Principal Investigator(s): View help for Principal Investigator(s) Steven Haider; Gary Solon
Version: View help for Version V1
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20040283_additionalmaterial | 10/26/2021 01:48:PM | ||
20040283_appendix_readme.pdf | application/pdf | 100 KB | 12/07/2019 07:16:AM |
LICENSE.txt | text/plain | 14.6 KB | 12/07/2019 07:16:AM |
Project Citation:
Haider, Steven, and Solon, Gary. Replication data for: Life-Cycle Variation in the Association between Current and Lifetime Earnings. Nashville, TN: American Economic Association [publisher], 2006. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116235V1
Project Description
Summary:
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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. (JEL D31, D91)
Scope of Project
Subject Terms:
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Measurement Error;
Lifecycle Earnings
JEL Classification:
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D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
J31 Wage Level and Structure; Wage Differentials
D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
J31 Wage Level and Structure; Wage Differentials
Geographic Coverage:
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United States
Time Period(s):
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1951 – 1991
Data Type(s):
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administrative records data
Methodology
Data Source:
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HRS, SSA
Unit(s) of Observation:
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Individuals,
Annual Earnings,
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