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The role of permanent and transitory shocks in explaining international health expenditures

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  • Paresh Kumar Narayan
  • Seema Narayan

Abstract

While there is a growing literature that examines the issue of cointegration (co‐movement over the long run) among health expenditures, there are no studies that examine the issue of common cycles (co‐movement over the short run) among health expenditures. We undertake a multivariate variance decomposition analysis of per capita health expenditures of the USA, the UK, Japan, Canada, and Switzerland based on a common‐trend–common‐cycle restriction framework, to examine the relative importance of permanent and transitory innovations in explaining variations in per capita health expenditures in each of the five countries. Our main finding is that transitory shocks are more important in explaining per capita health expenditures in the UK, Japan, and Switzerland, while permanent shocks dominate variations in per capita health expenditures in the USA and Canada over short horizons. Copyright © 2007 John Wiley & Sons, Ltd.

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  • Paresh Kumar Narayan & Seema Narayan, 2008. "The role of permanent and transitory shocks in explaining international health expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1171-1186, October.
  • Handle: RePEc:wly:hlthec:v:17:y:2008:i:10:p:1171-1186
    DOI: 10.1002/hec.1316
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    Cited by:

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    2. Andrea Leiter & Engelbert Theurl, 2012. "The convergence of health care financing structures: empirical evidence from OECD-countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(1), pages 7-18, February.
    3. Narayan, Paresh Kumar & Narayan, Seema & Smyth, Russell, 2011. "Energy consumption at business cycle horizons: The case of the United States," Energy Economics, Elsevier, vol. 33(2), pages 161-167, March.
    4. Nicholas Apergis & Tsangyao Chang & Christina Christou & Rangan Gupta, 2017. "Convergence of Health Care Expenditures Across the US States: A Reconsideration," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 303-316, August.
    5. Fabrizio Iacone & Steve Martin & Luigi Siciliani & Peter C. Smith, 2012. "Modelling the dynamics of a public health care system: evidence from time-series data," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2955-2968, August.
    6. Paresh Kumar Narayan, 2010. "Modelling health and output at business cycle horizons for the USA," Health Economics, John Wiley & Sons, Ltd., vol. 19(7), pages 872-880, July.
    7. Balcilar, Mehmet & Gupta, Rangan & Wohar, Mark E., 2017. "Common cycles and common trends in the stock and oil markets: Evidence from more than 150years of data," Energy Economics, Elsevier, vol. 61(C), pages 72-86.
    8. Vasudeva Murthy, 2012. "A Time-Series Investigation of the U.S. Real Health Expenditure: Evidence from Nonlinear Unit Root Tests," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(4), pages 429-438, November.

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