EMPLOYEE RESPONSE TO HEALTH PLAN PERFORMANCE RATINGS

本项目的目标是研究如何发布健康计划 绩效信息影响员工健康计划的选择。信仰 信息在当今健康保险市场的重要性 导致了健康计划报告卡的制定和传播 雇主、媒体和消费者权益保护组织。这些 报告卡试图测量计划绩效沿着各种 通常基于健康计划雇主数据， 信息集（HEDIS）。 本分析将基于以下员工的健康计划选择： 通用汽车公司（GM）的两个开放招生期，并将 利用两个变量来源来识别信息的影响 计划的选择。首先，健康计划的选择是观察之前， 在公司将基于HEDIS的计划绩效评级出租给非工会后， 员工第二，工会员工的行为，他们没有得到 这些信息将用于控制可能 改变并影响了健康计划的选择。 将讨论四个具体的研究问题。 1.报告卡评级的发布是否会改变计划中的入组？如果 因此，沿着哪些方面的表现。报告的影响力有多大 相对于其他因素的卡评级，例如自付价格， 可能影响计划选择的因素吗 2.员工的年龄是否会影响他们的 会受到成绩单评分的影响吗 3.是新入职的员工，面对这一系列特殊的选择， 第一次，更多地受到成绩单评级的影响？ 4.健康维护组织的高绩效评级在多大程度上影响个人 从FFS或首选提供商计划切换到HMO？ 将对条件和嵌套logit模型进行估计和标记 基于汇总数据的共享回归，适用于 未观察到的计划属性是计划选择的重要决定因素。 这些方法中的每一种都说明了每一种方法都有不同的选择集， 员工面孔他们还为每个员工的健康计划选择建模 作为员工可以从其中获得的所有计划的属性的函数 选择.这很重要，因为它是相对价格和质量， 而不是绝对的价格和质量，这会影响选择。

The goal of this project is to examine how the release of health plan performance information influences employee health plan choices. Belief in the importance of information in today's health insurance marketplace has led to the development and dissemination of health plan report cards by employers, the media, and consumer advocacy organizations. These report cards attempt to measure plan performance along with various dimensions and are often based on the Health Plan Employer Data and Information Set (HEDIS). This analysis will be based on the health plan choices of employees of General Motor Corporation (GM) for two open enrollment periods and will exploit two sources of variation to identify the impact of information on plan choice. First, health plan choices are observed both before and after the firm leased HEDIS based plan performance ratings to non-union employees. Second, the behavior of union employees, who were not given such information, will be used to control for other factors that may have changed and affected health plan choice. Four specific research questions will be addressed. 1. Does the release of report card ratings alter enrollment in plans? If so, along which dimensions of performance. How influential are report card ratings relative to other factors, such as out-of-pocket price, that might influence plan choice? 2. Does the age of the employee affect the degree to which they are influenced by the release of report card ratings? 3. Are newly hired employees, faced with this particular set of choices for the first time, more influenced by the report card ratings? 4. To what extent do high HMO performance ratings influence individuals to switch from FFS or preferred provider plans to HMOs? Conditional and nested logit models will be estimated as well as marked share regressions, based on aggregate data, which are appropriate in unobserved plan attributes are important determinants of plan choice. Each of these methods account for the different set of choices that each employee faces. They also model the health plan choice for each employee as a function of the attributes of all plans from which employees could choose. This is important because it is the relative price and quality, not the absolute price and quality, that influence choice.