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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w15191 |
来源ID | Working Paper 15191 |
Dynamic Cost-offsets of Prescription Drug Expenditures: Panel Data Analysis Using a Copula-based Hurdle Model | |
Partha Deb; Pravin K. Trivedi; David M. Zimmer | |
发表日期 | 2009-07-30 |
出版年 | 2009 |
语种 | 英语 |
摘要 | This paper presents a new multivariate copula-based modeling approach for analyzing cost-offsets between drug and nondrug expenditures. Estimates are based on panel data from the Medical Expenditure Panel Survey (MEPS) with quarterly measures of medical expenditures. The approach allows for nonlinear dynamic dependence between drug and nondrug expenditures as well as asymmetric contemporaneous dependence. The specification uses the standard hurdle model with two significant extensions. First, it is adapted to the bivariate case. Second, because the cost-offset hypothesis is inherently dynamic, the bivariate hurdle framework is extended to accommodate dynamic relationships between drug and nondrug spending. The econometric analysis is implemented for six different groups defined by specific health conditions. There is evidence of modest cost-offsets of expenditures on prescribed drugs. |
主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Health |
URL | https://www.nber.org/papers/w15191 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/572867 |
推荐引用方式 GB/T 7714 | Partha Deb,Pravin K. Trivedi,David M. Zimmer. Dynamic Cost-offsets of Prescription Drug Expenditures: Panel Data Analysis Using a Copula-based Hurdle Model. 2009. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w15191.pdf(1451KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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