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Impact of Raising Copayment and/or Reducing Reimbursement Benefits on Healthcare according to “Disequilibrium Bivariate Distributionâ€

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  • Shanmugam R

    (Honorary Professor of International Studies, School of Health Administration, Texas State University, USA)

Abstract

This article probes and illustrates the consequences of raising co-payment and/or reducing reimbursement benefits on healthcare operations. For this purpose, a new bivariate count model with its properties is introduced. The model is named “disequilibrium bivariate Poisson distribution†. An analytic methodology and healthcare management implications are devised to perform data analysis by the healthcare managers. The Australian Health Survey of year 1977-1978 data are considered in the illustration. Thoughts for further research direction are suggested.

Suggested Citation

  • Shanmugam R, 2018. "Impact of Raising Copayment and/or Reducing Reimbursement Benefits on Healthcare according to “Disequilibrium Bivariate Distributionâ€," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(1), pages 1-13, February.
    • Handle: RePEc:adp:jbboaj:v:5:y:2018:i:1:p:1-13
    DOI: 10.19080/BBOAJ.2018.05.555651
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    References listed on IDEAS

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    1. Ramalingam Shanmugam, 1997. "Stochastic modelling of consumer’s diminishing return," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 6(1), pages 83-92, April.
    2. He, Alex Jingwei, 2014. "The doctor–patient relationship, defensive medicine and overprescription in Chinese public hospitals: Evidence from a cross-sectional survey in Shenzhen city," Social Science & Medicine, Elsevier, vol. 123(C), pages 64-71.
    3. Toshiaki Iizuka & Ginger Zhe Jin, 2005. "The Effect of Prescription Drug Advertising on Doctor Visits," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 14(3), pages 701-727, September.
    4. Peter Berkhout & Erik Plug, 2004. "A bivariate Poisson count data model using conditional probabilities," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(3), pages 349-364, August.
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