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Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design

Author

Listed:
  • Simonsen, Marianne

    (School of Economics and Management)

  • Skipper, Lars

    (Department of Economics, Aarhus School of Business)

  • Skipper, Niels

    (School of Economics and Management)

Abstract

This paper investigates price sensitivity of demand for prescription drugs using drug purchase records for at 20% random sample of the Danish population. We identify price responsiveness by exploiting exogenous variation in prices caused by kinked reimbursement schemes and implement a regression kink design. Thus, within a unifying framework we uncover price sensitivity for different subpopulations and types of drugs. The results suggest low average price responsiveness with corresponding price elasticities ranging from -0.08 to -0.25, implying that demand is inelastic. Individuals with lower education and income are, however, more responsive to the price. Also, essential drugs that prevent deterioration in health and prolong life have lower associated average price sensitivity.

Suggested Citation

  • Simonsen, Marianne & Skipper, Lars & Skipper, Niels, 2010. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Working Papers 10-1, University of Aarhus, Aarhus School of Business, Department of Economics.
    • Handle: RePEc:hhs:aareco:2010_001
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    1. J. P. Florens & J. J. Heckman & C. Meghir & E. Vytlacil, 2008. "Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects," Econometrica, Econometric Society, vol. 76(5), pages 1191-1206, September.
    2. Helena Skyt Nielsen & Torben Sørensen & Christopher Taber, 2010. "Estimating the Effect of Student Aid on College Enrollment: Evidence from a Government Grant Policy Reform," NBER Chapters, in: Income Taxation, Trans-Atlantic Public Economics Seminar (TAPES), pages 185-215, National Bureau of Economic Research, Inc.
    3. Martin Gaynor & Jian Li & William B. Vogt, 2006. "Is Drug Coverage a Free Lunch? Cross-Price Elasticities and the Design of Prescription Drug Benefits," The Centre for Market and Public Organisation 07/166, The Centre for Market and Public Organisation, University of Bristol, UK.
    4. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    5. Susan Dynarski & Jonathan Gruber & Danielle Li, 2009. "Cheaper By the Dozen: Using Sibling Discounts at Catholic Schools to Estimate the Price Elasticity of Private School Attendance," NBER Working Papers 15461, National Bureau of Economic Research, Inc.
    6. Joseph G. Altonji & Rosa L. Matzkin, 2005. "Cross Section and Panel Data Estimators for Nonseparable Models with Endogenous Regressors," Econometrica, Econometric Society, vol. 73(4), pages 1053-1102, July.
    7. Paul Contoyannis & Jeremiah Hurley & Paul Grootendorst & Sung‐Hee Jeon & Robyn Tamblyn, 2005. "Estimating the price elasticity of expenditure for prescription drugs in the presence of non‐linear price schedules: an illustration from Quebec, Canada," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 909-923, September.
    8. David Card & David S. Lee & Zhuan Pei, 2009. "Quasi-Experimental Identification and Estimation in the Regression Kink Design," Working Papers 1206, Princeton University, Department of Economics, Industrial Relations Section..
    9. Amitabh Chandra & Jonathan Gruber & Robin McKnight, 2007. "Patient Cost-Sharing, Hospitalization Offsets, and the Design of Optimal Health Insurance for the Elderly," NBER Working Papers 12972, National Bureau of Economic Research, Inc.
    10. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    11. Amitabh Chandra & Jonathan Gruber & Robin McKnight, 2010. "Patient Cost-Sharing and Hospitalization Offsets in the Elderly," American Economic Review, American Economic Association, vol. 100(1), pages 193-213, March.
    12. Rothstein, Jesse & Rouse, Cecilia Elena, 2011. "Constrained after college: Student loans and early-career occupational choices," Journal of Public Economics, Elsevier, vol. 95(1), pages 149-163.
    13. David Card & David S. Lee & Zhuan Pei, 2009. "Quasi-Experimental Identification and Estimation in the Regression Kink Design," Working Papers 1206, Princeton University, Department of Economics, Industrial Relations Section..
    14. Keeler, Emmett B & Newhouse, Joseph P & Phelps, C E, 1977. "Deductibles and the Demand for Medical Care Services: The Theory of a Consumer Facing a Variable Price Schedule under Uncertainty," Econometrica, Econometric Society, vol. 45(3), pages 641-655, April.
    15. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    16. Moffitt, Robert, 1990. "The Econometrics of Kinked Budget Constraints," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 119-139, Spring.
    17. Jonathan Guryan, 2001. "Does Money Matter? Regression-Discontinuity Estimates from Education Finance Reform in Massachusetts," NBER Working Papers 8269, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Prescription drugs; price; reimbursement schemes; regression kink design;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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