Upcoding: Evidence from Medicare on Squishy Risk Adjustment

S-Tier
Journal: Journal of Political Economy
Year: 2020
Volume: 128
Issue: 3
Pages: 984 - 1026

Authors (2)

Michael Geruso (not in RePEc) Timothy Layton (Harvard University)

Score contribution per author:

4.022 = (α=2.01 / 2 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In most US health insurance markets, plans face strong incentives to upcode the patient diagnoses they report to the regulator, as these affect the risk-adjusted payments that plans receive. We show that enrollees in private Medicare plans generate 6%–16% higher diagnosis-based risk scores than they would under fee-for-service Medicare, where diagnoses do not affect most provider payments. Our estimates imply that upcoding generates billions in excess public spending and significant distortions to firm and consumer behavior. We show that coding intensity increases with vertical integration, suggesting a principal-agent problem faced by insurers, who desire more intense coding from the providers with whom they contract.

Technical Details

RePEc Handle
repec:ucp:jpolec:doi:10.1086/704756
Journal Field
General
Author Count
2
Added to Database
2026-01-25