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Income Elasticity Decomposition Models and Determinants of U.S. Pharmaceutical Expenditures

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  • Gregory G. Lubiani

    (Texas A&M University – Commerce)

  • Albert A. Okunade

    (University of Memphis)

  • Weiwei Chen

    (Florida International University)

Abstract

Prescription drugs are the third largest component of U.S. healthcare spending, and quickly growing. This novel study provides greater information on consumer behavior in the market for prescription drugs, and how that behavior may vary due to fluctuating economic conditions, using an annual panel dataset. Specifically, the research presented applied the income elasticity decomposition methodology to prescription drug expenditures, deriving both its quality and quantity components. Per capita gross domestic product and median home values were used interchangeably to test whether alternative income concepts affect income elasticity estimates. The system generalized method of moments three-stage least squares estimation results revealed that the: (a) 0.647 short-run income elasticity comprises 0.453 and 0.194 in quantity and quality components; (b) long-run income elasticity estimate of 0.167 has 0.027 and 0.140 quantity and quality components. Pharmaceuticals were found to behave as a necessity and normal good with significant tendencies for long-run consumption shifts towards quality. Further illustrated are supply and demand-side impacts, with policy implications for Medicare and Medicaid programs, among others.

Suggested Citation

  • Gregory G. Lubiani & Albert A. Okunade & Weiwei Chen, 2018. "Income Elasticity Decomposition Models and Determinants of U.S. Pharmaceutical Expenditures," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(4), pages 389-403, December.
    • Handle: RePEc:kap:atlecj:v:46:y:2018:i:4:d:10.1007_s11293-018-9600-z
    DOI: 10.1007/s11293-018-9600-z
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    References listed on IDEAS

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    1. ., 2015. "Traditional methods for local and regional economic analysis," Chapters, in: Introduction to Regional Economic Development, chapter 7, pages 96-137, Edward Elgar Publishing.
    2. Daron Acemoglu & Amy Finkelstein & Matthew J. Notowidigdo, 2013. "Income and Health Spending: Evidence from Oil Price Shocks," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1079-1095, October.
    3. Albert A. Okunade & Chutima Suraratdecha & David A. Benson, 2010. "Determinants of Thailand household healthcare expenditure: the relevance of permanent resources and other correlates," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 365-376, March.
    4. Jorge Mestre-Ferrandiz;Jon Sussex;Adrian Towse, 2012. "The R&D Cost of a New Medicine," Monograph 000135, Office of Health Economics.
    5. Weiwei Chen & Albert Okunade & Gregory G. Lubiani, 2014. "Quality–Quantity Decomposition Of Income Elasticity Of U.S. Hospital Care Expenditure Using State‐Level Panel Data," Health Economics, John Wiley & Sons, Ltd., vol. 23(11), pages 1340-1352, November.
    6. Christine Huttin, 2000. "A cluster analysis on income elasticity variations and US pharmaceutical expenditures," Applied Economics, Taylor & Francis Journals, vol. 32(10), pages 1241-1247.
    7. Baltagi, Badi H. & Moscone, Francesco, 2010. "Health care expenditure and income in the OECD reconsidered: Evidence from panel data," Economic Modelling, Elsevier, vol. 27(4), pages 804-811, July.
    8. Jesús Clemente & Carmen Marcuello & Antonio Montañés, 2008. "Pharmaceutical expenditure, total health‐care expenditure and GDP," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1187-1206, October.
    9. Frank Windmeijer & Eric de Laat & Rudy Douven & Esther Mot, 2006. "Pharmaceutical promotion and GP prescription behaviour," Health Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 5-18, January.
    10. Dhaval Dave & Henry Saffer, 2012. "Impact of Direct-to-Consumer Advertising on Pharmaceutical Prices and Demand," Southern Economic Journal, John Wiley & Sons, vol. 79(1), pages 97-126, July.
    11. Edward N. Wolff, 2014. "Household wealth trends in the United States, 1983–2010," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(1), pages 21-43.
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