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Quality–Quantity Decomposition Of Income Elasticity Of U.S. Hospital Care Expenditure Using State‐Level Panel Data

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  • Weiwei Chen
  • Albert Okunade
  • Gregory G. Lubiani

Abstract

Economic theory suggests that income growth could lead to changes in consumption quantity and quality as the spending on a commodity changes. Similarly, the volume and quality of healthcare consumption could rise with incomes because of demographic changes, usage of innovative medical technologies, and other factors. Hospital healthcare spending is the largest component of aggregate US healthcare expenditures. The novel contribution of our paper is estimating and decomposing the income elasticity of hospital care expenditures (HOCEXP) into its quantity and quality components. By using a 1999–2008 panel dataset of the 50 US states, results from the seemingly unrelated regressions model estimation reveal the income elasticity of HOCEXP to be 0.427 (std. error = 0.044), with about 0.391 (calculated std. error = 0.044) arising from care quality improvements and 0.035 (std. error = 0.050) emanating from the rise in usage volume. Our novel research findings suggest the following: (i) the quantity part of hospital expenditure is inelastic to income change; (ii) almost the entire income‐induced rise in hospital expenditure comes from care quality changes; and (iii) the 0.427 income elasticity of HOCEXP, the largest component of total US healthcare expenditure, makes hospital care a normal commodity and a much stronger technical necessity than aggregate healthcare. Policy implications are discussed. Copyright © 2013 John Wiley & Sons, Ltd.

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  • 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.
  • Handle: RePEc:wly:hlthec:v:23:y:2014:i:11:p:1340-1352
    DOI: 10.1002/hec.2986
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    1. Mark Bils & Peter J. Klenow, 2001. "Quantifying Quality Growth," American Economic Review, American Economic Association, vol. 91(4), pages 1006-1030, September.
    2. Okunade, Albert A. & Murthy, Vasudeva N. R., 2002. "Technology as a 'major driver' of health care costs: a cointegration analysis of the Newhouse conjecture," Journal of Health Economics, Elsevier, vol. 21(1), pages 147-159, January.
    3. Tullio Jappelli & Luigi Pistaferri & Guglielmo Weber, 2007. "Health care quality, economic inequality, and precautionary saving," Health Economics, John Wiley & Sons, Ltd., vol. 16(4), pages 327-346, April.
    4. Edgar A. Peden & Mark S. Freeland, 1998. "Insurance effects on US medical spending (1960–1993)," Health Economics, John Wiley & Sons, Ltd., vol. 7(8), pages 671-687, December.
    5. Getzen, Thomas E., 2000. "Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 19(2), pages 259-270, March.
    6. Aizcorbe, Ana & Nestoriak, Nicole, 2011. "Changing mix of medical care services: Stylized facts and implications for price indexes," Journal of Health Economics, Elsevier, vol. 30(3), pages 568-574, May.
    7. Gale, H. Frederick, Jr. & Huang, Kuo S., 2007. "Demand For Food Quantity And Quality In China," Economic Research Report 7252, United States Department of Agriculture, Economic Research Service.
    8. Baoping Shang & Dana Goldman, 2008. "Does age or life expectancy better predict health care expenditures?," Health Economics, John Wiley & Sons, Ltd., vol. 17(4), pages 487-501, April.
    9. Akin, John S. & Guilkey, David K. & Hazel?Denton, E., 1995. "Quality of services and demand for health care in Nigeria: A multinomial probit estimation," Social Science & Medicine, Elsevier, vol. 40(11), pages 1527-1537, June.
    10. Frank Lichtenberg, 2011. "The quality of medical care, behavioral risk factors, and longevity growth," International Journal of Health Economics and Management, Springer, vol. 11(1), pages 1-34, March.
    11. Michal Paluch & Alois Kneip & Werner Hildenbrand, 2012. "Individual Versus Aggregate Income Elasticities For Heterogeneous Populations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 847-869, August.
    12. Joan Costa‐Font & Marin Gemmill & Gloria Rubert, 2011. "Biases in the healthcare luxury good hypothesis?: a meta‐regression analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 95-107, January.
    13. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    14. David C. Grabowski, 2001. "Does an Increase in the Medicaid Reimbursement Rate Improve Nursing Home Quality?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 56(2), pages 84-93.
    15. Paul J. Gertler, 1985. "A Decomposition of the Elasticity of Medicaid Nursing Home Expenditures Into Price, Quality, and Quantity Effects," NBER Working Papers 1751, National Bureau of Economic Research, Inc.
    16. Joseph P. Newhouse, 1992. "Medical Care Costs: How Much Welfare Loss?," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 3-21, Summer.
    17. Joseph P. Newhouse & Charles E. Phelps, 1976. "New Estimates of Price and Income Elasticities of Medical Care Services," NBER Chapters, in: The Role of Health Insurance in the Health Services Sector, pages 261-320, National Bureau of Economic Research, Inc.
    18. W. Whitney Hicks & S. R. Johnson, 1968. "Quantity and Quality Components for Income Elasticities of Demand for Food," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(5), pages 1512-1517.
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    1. Svetlana N. Beilfuss & James A. Thornton, 2016. "Pathways and Hidden Benefits of Healthcare Spending Growth in the U.S," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 363-375, September.
    2. Mehdi Barati & Hadiseh Fariditavana, 2020. "Asymmetric effect of income on the US healthcare expenditure: evidence from the nonlinear autoregressive distributed lag (ARDL) approach," Empirical Economics, Springer, vol. 58(4), pages 1979-2008, April.
    3. 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.
    4. Thierry Nianogo & Albert Okunade & Demba Fofana & Weiwei Chen, 2016. "Determinants of US Prescription Drug Utilization using County Level Data," Health Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 606-619, May.

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