Estimating Self‐Selection in Medicare Advantage

Moiz Bhai & Danny R. Hughes

Journal of Policy Analysis and Management2026https://doi.org/10.1002/pam.70090article
AJG 3ABDC A
Weight
0.50

Abstract

We explore the fundamental question of selection in Medicare Advantage by exploiting quasi‐experimental variation from the Initial Enrollment Period for Medicare eligibility to evaluate and describe participation in Medicare Advantage. Using administrative claims data between 2007 and 2017, we investigate the transition from commercial insurance to Medicare Advantage for a comprehensive subset of commercially insured enrollees. We use the sharp cutoff at age 65 in one of the largest commercial and Medicare Advantage databases in the United States to implement a “positive correlation” test. Our findings using baseline characteristics at age 64 reveal that enrollees in Medicare Advantage are advantageously selected on multiple measures of health status such as Charlson Comorbidity Index (CCI) scores, out‐of‐pocket costs, utilization, while differentially selected on demographic characteristics. Furthermore, using predicted Medicare Advantage utilization based on observable characteristics, we find even stronger evidence of advantageous selection, suggesting that observable characteristics at age 64 systematically predict which enrollees would benefit most from Medicare Advantage's features, indicating forward‐looking selection behavior.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1002/pam.70090

Or copy a formatted citation

@article{moiz2026,
  title        = {{Estimating Self‐Selection in Medicare Advantage}},
  author       = {Moiz Bhai & Danny R. Hughes},
  journal      = {Journal of Policy Analysis and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/pam.70090},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Estimating Self‐Selection in Medicare Advantage

Flags are reviewed by the Arbiter methodology team within 5 business days.


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

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.