Eliciting the Demand for Long Term Care Coverage: A Discrete Choice Modelling Analysis

IF 0.4 Q3 LAW
R. Brau, Matteo Lippi Bruni
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引用次数: 4

Abstract

We evaluate the demand for long term care (LTC) insurance prospects in a stated preference context, by means of the results of a choice experiment carried out on a representative sample of the Emilia-Romagna population. Choice modelling techniques have not been used yet for studying the demand for LTC services. In this paper these methods are first of all used in order to assess the relative importance of the characteristics which define some hypothetical insurance programmes and to elicit the willingness to pay for some LTC coverage prospects. Moreover, thanks to the application of a nested logit specification with 'partial degeneracy', we are able to model the determinants of the preference for status quo situations where no systematic cover for LTC exists. On the basis of this empirical model, we test for the effects of a series of socio-demographic variables as well as personal and household health state indicators.
引出长期护理保险的需求:一个离散选择模型分析
我们通过对艾米利亚-罗马涅人口代表性样本进行的选择实验结果,评估了长期护理(LTC)保险前景在既定偏好背景下的需求。选择建模技术尚未用于研究LTC服务的需求。在本文中,首先使用这些方法来评估定义一些假设保险计划的特征的相对重要性,并引出支付一些长期保险覆盖前景的意愿。此外,由于应用了具有“部分退化”的嵌套logit规范,我们能够对没有LTC系统覆盖的现状的偏好决定因素进行建模。在此经验模型的基础上,我们测试了一系列社会人口变量以及个人和家庭健康状况指标的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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