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Co-Movement of Healthcare Financing in OECD Countries: Evidence from Discrete Wavelet Analyses

Author

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  • Wen-Yi CHEN

    (Department of Senior Citizen Service Management, National Taichung University of Science and Technology, Taichung, Taiwan.)

  • Yu-Hui LIN

    (, Department of Business Administration, Nan Kai University of Technology, Nan-Tou, Taiwan.)

Abstract

This study applied the recently developed discrete wavelet analyses to investigate the co-movement and spill-over relationship of healthcare financing across nine OECD countries during the period of 1960-2012 for the first time. Healthcare financing data used for this study were retrieved from the 2014 version of OECD Health Statistics database. Our results suggest that the public share of total healthcare financing in nine OECD countries has exhibited signs of co-movement over the period of 1960-2012 in the short, medium, and long-runs. The public-private mix of healthcare financing in National Health Service (NHS) systems led those in the Social Health Insurance (SHI) and Private Health Insurance (PHI) systems in the short and medium-runs, while the public-private mix of healthcare financing in the PHI health care system lagged behind that of the SHI and NHS systems over the period of 1960-2012. Policy diffusion for any change in the public-private mix of healthcare financing should run from public financing healthcare systems (such as the SHI and NHS systems) to the private financing healthcare system (PHI system).

Suggested Citation

  • Wen-Yi CHEN & Yu-Hui LIN, 2016. "Co-Movement of Healthcare Financing in OECD Countries: Evidence from Discrete Wavelet Analyses," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 40-56, September.
    • Handle: RePEc:rjr:romjef:v::y:2016:i:3:p:40-56
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    References listed on IDEAS

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    1. Chen, Mei-Ping & Chen, Wen-Yi & Tseng, Tseng-Chan, 2017. "Co-movements of returns in the health care sectors from the US, UK, and Germany stock markets: Evidence from the continuous wavelet analyses," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 484-498.

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    More about this item

    Keywords

    Co-movement; Healthcare Financing; Discrete Wavelet Analyses; Wavelet Multiple Correlation; Wavelet Multiple Cross correlation.;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • I1 - Health, Education, and Welfare - - Health
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

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