Participation and crowd-out in a Medicare drug benefit: simulation estimates

Dennis G Shea1, Bruce C Stuart, Becky Briesacher

  • 1Pennsylvania State University, USA. dgs4@psu.edu

Insights

This study estimates Medicare drug plan participation and crowd-out using a microsimulation model. Behavioral factors like moral hazard and risk aversion significantly impact enrollment and spending.

Area of Science:

  • Health Economics
  • Public Policy
  • Behavioral Economics

Background:

  • Medicare beneficiaries face complex decisions regarding prescription drug coverage.
  • Understanding participation drivers and potential 'crowd-out' effects is crucial for policy evaluation.

Purpose of the Study:

  • To estimate likely participation in the Medicare prescription drug plan.
  • To assess the expected 'crowd-out' of private drug spending.
  • To analyze the impact of behavioral parameters on participation and crowd-out.

Main Methods:

  • Microsimulation modeling using data from the Medicare Current Beneficiary Survey (MCBS).
  • Simulations varied benefit levels, subsidies, and behavioral parameters (moral hazard, risk aversion).
  • Estimation of costs, benefits, and risk reduction associated with the drug plan.

Main Results:

  • Participation and crowd-out levels are sensitive to benefit design and subsidy levels.
  • Higher moral hazard and lower risk aversion decrease net participation.
  • The model quantifies the trade-offs between plan generosity and behavioral responses.

Conclusions:

  • Policy design significantly influences Medicare drug plan uptake and market effects.
  • Behavioral economics principles are essential for accurate prediction of program outcomes.
  • Further research should refine estimates of behavioral parameters in Medicare populations.

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