Search costs and Medicare plan choice
研究发现，老年医疗保险受益人在选择医保计划时并非完全知情，搜索成本影响其决策；未充分知情的受益人多为年龄较大、收入较高、自评健康较差者。
There is increasing evidence suggesting that Medicare beneficiaries do not make fully informed decisions when choosing among alternative Medicare health plans. To the extent that deciphering the intricacies of alternative plans consumes time and money; the Medicare health plan market is one in which search costs may play an important role. To account for this, we split beneficiaries into two groups - those who are informed and those who are uninformed. If uninformed, beneficiaries only use a subset of covariates to compute their maximum utilities, and if informed, they use the full set of variables considered. In a Bayesian framework with Markov Chain Monte Carlo (MCMC) methods, we estimate search cost coefficients based on the minimum and maximum statistics of the search cost distribution, incorporating both horizontal differentiation and information heterogeneities across eligibles. Our results suggest that, conditional on being uninformed, older, higher income beneficiaries with lower self-reported health status are more likely to utilize easier access to information.