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Dynamic Cost-offsets of Prescription Drug Expenditures: Panel Data Analysis Using a Copula-based Hurdle Model / Partha Deb, Pravin K. Trivedi, David M. Zimmer.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Deb, Partha.
Contributor:
National Bureau of Economic Research.
Trivedi, Pravin K.
Zimmer, David M.
Series:
Working Paper Series (National Bureau of Economic Research) no. w15191.
NBER working paper series no. w15191
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Other Title:
Dynamic Cost-offsets of Prescription Drug Expenditures
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2009.
Summary:
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.
Notes:
Print version record
July 2009.

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