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Machine Learning Methods to Improve and Inform Risk Adjustment

Tuesday, June 25, 2019: 3:30 PM-5:00 PM
Hoover - Mezzanine Level (Marriott Wardman Park Hotel)
Chair:
Christopher Whaley
3:30 PM
Fair Regression in Health Spending

Author(s): Anna Zink; Sherri Rose

Discussant: Randall P Ellis
4:00 PM
Improving plan payment risk adjustment with machine learning: accounting for service-level propensity scores to reduce service-level selection

Author(s): Sungchul Park; Anirban Basu

Discussant: Sherri Rose
4:30 PM
Using Machine Learning to Examine Adverse Selection vs. Cream Skimming

Author(s): Christopher Whaley; Armando Franco

Discussant: Timothy J. Layton
See more of: Demand for and Effect of Health Insurance
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