Attrition from Administrative Data: Problems and Solutions with an Application to Postsecondary Education

Abstract This paper documents the bias introduced by attrition of individuals from administrative data with an application to the labor market consequences of postsecondary education. Attrition due to crossstate migration is non-trivial, particularly for high-earners, graduates from selective universities, and certain majors. Consequently, the premium associated with graduating from a most selective university is 23% higher than in-state earnings suggests, though this magnitude differs across context. The impact of obtaining a 2-year CTE credential is also understated, as are earnings differences across majors. Differences in missingness are systematically related to bias in measurement; we evaluate approaches to quantifying that bias.

Institutions

Publication Details

Journal
The Review of Economics and Statistics
Published
2026-02-04
DOI
https://doi.org/10.1162/rest.a.1703
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Attrition from Administrative Data: Problems and Solutions with an Application to Postsecondary Education

The Review of Economics and Statistics
Labor market dynamics and wage inequality
article

Attrition from Administrative Data: Problems and Solutions with an Application to Postsecondary Education

article en

Abstract

Abstract This paper documents the bias introduced by attrition of individuals from administrative data with an application to the labor market consequences of postsecondary education. Attrition due to crossstate migration is non-trivial, particularly for high-earners, graduates from selective universities, and certain majors. Consequently, the premium associated with graduating from a most selective university is 23% higher than in-state earnings suggests, though this magnitude differs across context. The impact of obtaining a 2-year CTE credential is also understated, as are earnings differences across majors. Differences in missingness are systematically related to bias in measurement; we evaluate approaches to quantifying that bias.

The Review of Economics and Statistics
United States Census Bureau (US), University of Konstanz (DE)
Reduced inequalities
Openalex Percentile: Top 71%
Labor market dynamics and wage inequality
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.