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Dynamic Cost-offsets of Prescription Drug Expenditures: Panel Data Analysis Using a Copula-based Hurdle Model

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  • Partha Deb
  • Pravin K. Trivedi
  • David M. Zimmer

Abstract

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.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15191.

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Date of creation: Jul 2009
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Publication status: Forthcoming in Health Economics - "Cost-Offsets of Prescription Drug Expenditures: Data Analysis Via a Copula-Based Bivariate Dynamic Hurdle Model " Partha Deb, Pravin K. Trivedi, and David M. Zimmer. Article first published online: 18 AUG 2013 DOI: 10.1002/hec.2982
Handle: RePEc:nbr:nberwo:15191

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  1. Katarzyna Bien & Ingmar Nolte & Winfried Pohlmeier, 2007. "An Inflated Multivariate Integer Count Hurdle Model: An Application to Bid and Ask Quote Dynamics," CoFE Discussion Paper 07-04, Center of Finance and Econometrics, University of Konstanz.
  2. Dana Goldman & Tomas Philipson, 2007. "Integrated Insurance Design in the Presence of Multiple Medical Technologies," NBER Working Papers 12870, National Bureau of Economic Research, Inc.
  3. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, 05.
  4. Arulampalam, Wiji & Stewart, Mark, 2007. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," IZA Discussion Papers 3039, Institute for the Study of Labor (IZA).
  5. Baoping Shang & Dana P. Goldman, 2007. "Prescription Drug Coverage and Elderly Medicare Spending," NBER Working Papers 13358, National Bureau of Economic Research, Inc.
  6. Trivedi, Pravin K. & Zimmer, David M., 2007. "Copula Modeling: An Introduction for Practitioners," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(1), pages 1-111, April.
  7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  8. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
  9. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
  10. Winfried Pohlmeier & Volker Ulrich, 1995. "An Econometric Model of the Two-Part Decisionmaking Process in the Demand for Health Care," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 339-361.
  11. Gaynor Martin & Li Jian & Vogt William B, 2007. "Substitution, Spending Offsets, and Prescription Drug Benefit Design," Forum for Health Economics & Policy, De Gruyter, vol. 10(2), pages 1-33, July.
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Cited by:
  1. Albouy, Valerie & Davezies, Laurent & Debrand, Thierry, 2010. "Health expenditure models: A comparison using panel data," Economic Modelling, Elsevier, vol. 27(4), pages 791-803, July.
  2. Brechmann, Eike & Czado, Claudia & Paterlini, Sandra, 2014. "Flexible dependence modeling of operational risk losses and its impact on total capital requirements," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 271-285.
  3. William Encinosa & Didem Bernard & Avi Dor, 2010. "Does Prescription Drug Adherence Reduce Hospitalizations and Costs?," NBER Working Papers 15691, National Bureau of Economic Research, Inc.

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