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Mortality Effects and Choice Across Private Health Insurance Plans
Jason Abaluck1, Mauricio Caceres Bravo2, Peter Hull3
1Yale University School of Management and NBER.
Consumers struggle to identify high-quality health insurance plans, leading to poor health outcomes. This study reveals that mortality rates accurately predict plan quality, yet consumers largely ignore this crucial factor.
Area of Science:
- Health Economics
- Health Services Research
- Biostatistics
Background:
- Health insurance market competition may not improve outcomes if consumers cannot discern plan quality.
- Identifying high-quality health insurance plans is crucial for consumer well-being and market efficiency.
Purpose of the Study:
- To quantify the variation in causal mortality effects across Medicare Advantage plans.
- To assess consumer attention to plan-specific mortality variations.
- To evaluate the predictive power of observed mortality rates for actual causal effects.
Main Methods:
- Developed a novel instrumental variables framework to estimate causal mortality effects.
- Analyzed plan exits and enrollee switching behavior to infer consumer choices.
- Derived and validated a "fallback condition" for estimating plan quality.
Main Results:
- Observed mortality rates strongly and unbiasedly predict causal mortality effects across Medicare Advantage plans.
- Higher spending plans are associated with reduced enrollee mortality.
- Existing quality ratings do not correlate with actual plan mortality effects.
Conclusions:
- Medicare Advantage plan mortality rates are reliable indicators of plan quality.
- Consumers place minimal weight on mortality effects when selecting plans.
- Redirecting beneficiaries to high-quality plans could significantly improve health outcomes.
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