EMPLOYEE RESPONSE TO HEALTH PLAN PERFORMANCE RATINGS

这个项目的目标是检查健康计划的发布 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中的重要性 导致了健康计划成绩单的开发和传播 由雇主、媒体和消费者权益倡导组织。这些 报告卡尝试衡量计划绩效以及各种 维度，通常基于健康计划雇主数据和 信息集(HEDIS)。 此分析将基于以下员工的健康计划选择 通用汽车公司(GM)的两个开放注册期，并将 利用两个差异来源来确定信息的影响 关于计划的选择。首先，健康计划的选择在之前和之后都得到了遵守 在该公司将基于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，他们没有被给予 这些信息将用于控制其他因素，这些因素可能 已经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.成绩单评级的发布是否会更改计划的登记？如果 那么，沿着哪个维度的表现。报道的影响力有多大 相对于其他因素的卡评级，如自付价格、 这可能会影响计划的选择？ 2.员工的年龄对他们的影响程度 受成绩单评级公布的影响？ 3.新雇用的员工是否面临着这套特殊的选择 第一次，更受成绩单收视率的影响？ 4.高HMO绩效评级对个人的影响有多大 从FFS或首选提供商计划切换到HMOS？ 将对条件和嵌套Logit模型进行评估和标记 基于聚合数据的共享回归，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考虑了不同的选择集 员工的脸。他们还为每个员工的健康计划选择建立模型 作为员工可以从中获得的所有计划的属性的函数 选择吧。这一点很重要，因为它是相对的价格和质量， 不是绝对的价格和质量，而是影响选择的因素。

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.