医疗改革对消费者的影响建模

Su Xie, S. Zenios
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摘要

本文研究健康保险市场(市场)对消费者的影响。目的是研究消费者选择背后的动机,以及保险公司和政府所扮演的角色。它还提供了提高市场效率的见解。在消费者决策建模中引入了成本的观点。消费者通过优化目标函数进行理性选择。目标函数包括卫生利用的实际成本和成本当量。有证据表明,消费者最看重的是他们的成本。此外,本文还提出了卫生利用区域划分的概念框架。这捕获了医疗保健中的过度使用等实际特性。讨论了有限理性,并提出了三个可能的发展方向。本文还建立了一个由回归、过渡和参数演化组成的医疗费用预测模型。该模型是第一个使用服务访问次数作为预测因子的模型。这与服务事件基础上的数据收集过程是一致的。此外,它还纳入了消费者不同保险状况的行为考虑。除了这个模型之外,还考虑了两个备选模型进行比较。它们反映了两种现有的方法:对个人特征的回归和对非零支出的对数变换。选取预测因子,利用医疗支出调查(MEPS)的纵向数据对预测因子的系数进行评估。将两种备选方案与模型进行比较,结果表明,该模型在预测精度和变异解释方面都优于两种备选方案。最后给出了消费者选择的仿真。结果表明,成本节约者比效用最大化者更符合联邦政府的统计数据。该结果对保险公司和消费者之间的份额提供了启示。精算值(保险公司支付的支出份额)是基于模拟参与计算的。它们显示出与标准的不一致。因此,精算价值计算存在着低效率。本文还对政府在市场中的参与进行了评估。结果表明,其参与,特别是政府补贴,有效地鼓励了保险计划的更广泛参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the Impact of Health Care Reform on Consumers
This paper studies the impact of the Health Insurance Marketplace (the Marketplace) on consumers. The aim is to study the motivation behind the consumer choice and the roles that insurers and government play. It also provide insights in improving the efficiency in the Marketplace.This paper introduces a cost point of view in modeling consumer decision. Consumers make rational choice by optimizing the objective function. The objective function includes the actual costs and the cost equivalent of health utilization. It is driven by the evidence that consumers value their costs most importantly. Moreover, this paper presents a conceptual framework of dividing health utilization into regions. This captures the practical features such as over utilization in healthcare. Bounded rationality is also discussed and three potential directions are provided. This paper also builds a model to predict medical expenditure which consists of a regression, a transition, and an evolution of the parameters. This model is the first to use the number of service visits as predictors. This is consistent with the collecting process of data which is at an service event base. Moreover, it incorporates the behavior considerations of the different insurance status of consumers. Aside from this model, two alternatives models are considered for comparison. They reflect two existing approaches: regression on personal characteristics and log transformation for nonzero expenditures. The predictors are selected and their coefficients are evaluated using the longitudinal data from Medical Expenditure Panel Survey (MEPS). The two alternatives are compared with the model and it turns out that the model outperforms them in both prediction accuracy and variability explanation. Finally this paper presents simulation of consumer choice. The results suggest that the cost saver better matches the statistics from the federal government than the utility maximizer. The results provides implications to the share between insurers and consumers. The actuarial values (the share of expenditure paid by insurers) is calculated based on simulated participation. They demonstrates inconsistency with the standard ones. Therefore inefficiency exits in the actuarial value calculation. This paper also evaluates the government involvements in the Marketplace. The results suggest that its involvements, especially the government subsidies, effectively encourage the broader participation of insurance plans.
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