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

Shanmugam R
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Shanmugam R: Honorary Professor of International Studies, School of Health Administration, Texas State University, USA

Biostatistics and Biometrics Open Access Journal, 2018, vol. 5, issue 1, 1-13

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.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:5:y:2018:i:1:p:1-13

DOI: 10.19080/BBOAJ.2018.05.555651

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