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来源类型Working Paper
规范类型报告
DOI10.3386/w15191
来源IDWorking 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
URLhttps://www.nber.org/papers/w15191
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/572867
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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.
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