A unifying switching regime regression framework with applications in health economics

IF 0.8 4区 经济学 Q3 ECONOMICS
Giampiero Marra, Rosalba Radice, David Zimmer
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引用次数: 0

Abstract

Motivated by three health economics-related case studies, we propose a unifying and flexible regression modeling framework that involves regime switching. The proposal can handle the peculiar distributional shapes of the considered outcomes via a vast range of marginal distributions, allows for a wide variety of copula dependence structures and permits to specify all model parameters (including the dependence parameters) as flexible functions of covariate effects. The algorithm is based on a computationally efficient and stable penalized maximum likelihood estimation approach. The proposed modeling framework is employed in three applications in health economics, that use data from the Medical Expenditure Panel Survey, where novel patterns are uncovered. The framework has been incorporated in the R package GJRM, hence allowing users to fit the desired model(s) and produce easy-to-interpret numerical and visual summaries.
一个统一的切换制度回归框架及其在卫生经济学中的应用
在三个健康经济学相关案例研究的激励下,我们提出了一个涉及制度转换的统一灵活的回归建模框架。该建议可以通过广泛的边际分布来处理所考虑结果的特殊分布形状,允许各种各样的联结依赖结构,并允许将所有模型参数(包括依赖参数)指定为协变量效应的灵活函数。该算法基于一种计算效率高且稳定的惩罚极大似然估计方法。提出的建模框架在卫生经济学的三个应用中使用,这些应用使用了来自医疗支出小组调查的数据,其中发现了新的模式。该框架已被纳入R包GJRM中,因此允许用户拟合所需的模型并生成易于解释的数字和可视化摘要。
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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来源期刊
Econometric Reviews
Econometric Reviews 管理科学-数学跨学科应用
CiteScore
1.70
自引率
0.00%
发文量
27
审稿时长
>12 weeks
期刊介绍: Econometric Reviews is widely regarded as one of the top 5 core journals in econometrics. It probes the limits of econometric knowledge, featuring regular, state-of-the-art single blind refereed articles and book reviews. ER has been consistently the leader and innovator in its acclaimed retrospective and critical surveys and interchanges on current or developing topics. Special issues of the journal are developed by a world-renowned editorial board. These bring together leading experts from econometrics and beyond. Reviews of books and software are also within the scope of the journal. Its content is expressly intended to reach beyond econometrics and advanced empirical economics, to statistics and other social sciences.
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