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

Andrew Foote & Kevin Stange

The Review of Economics and Statistics2026https://doi.org/10.1162/rest.a.1703article
AJG 4ABDC A*
Weight
0.50

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.

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https://doi.org/https://doi.org/10.1162/rest.a.1703

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@article{andrew2026,
  title        = {{Attrition from Administrative Data: Problems and Solutions with an Application to Postsecondary Education}},
  author       = {Andrew Foote & Kevin Stange},
  journal      = {The Review of Economics and Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1162/rest.a.1703},
}

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

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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