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Measuring the effects of reducing subsidies for private insurance on public expenditure for health care

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  • Cheng, Terence Chai

Abstract

This paper investigates the effects of reducing subsidies for private health insurance on public sector expenditure for hospital care. An econometric framework using simultaneous equation models is developed to analyse the interrelated decisions on the intensity and type of health care use and private insurance. The framework is applied to the context of the mixed public–private system in Australia. The simulation projections show that reducing premium subsidies is expected to generate net cost savings. This arises because the cost savings achieved from reducing subsidies are larger than the potential increase in public expenditure on hospital care.

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  • Cheng, Terence Chai, 2014. "Measuring the effects of reducing subsidies for private insurance on public expenditure for health care," Journal of Health Economics, Elsevier, vol. 33(C), pages 159-179.
    • Handle: RePEc:eee:jhecon:v:33:y:2014:i:c:p:159-179
    DOI: 10.1016/j.jhealeco.2013.11.007
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    Cited by:

    1. Ha Trong Nguyen & Huong Thu Le & Luke Connelly & Francis Mitrou, 2023. "Accuracy of self‐reported private health insurance coverage," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2709-2729, December.
    2. Christopher R. Dobronyi & Fu Ouyang & Thomas Tao Yang, 2023. "Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables," Papers 2301.09379, arXiv.org, revised Mar 2024.
    3. Damien S. Eldridge & Ilke Onur & Malathi Velamuri, 2017. "The impact of private hospital insurance on the utilization of hospital care in Australia," Applied Economics, Taylor & Francis Journals, vol. 49(1), pages 78-95, January.
    4. Daniele Fabbri & Chiara Monfardini, 2016. "Opt Out or Top Up? Voluntary Health Care Insurance and the Public vs. Private Substitution," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 75-93, February.
    5. Buchmueller, Thomas C. & Cheng, Terence C. & Pham, Ngoc T.A. & Staub, Kevin E., 2021. "The effect of income-based mandates on the demand for private hospital insurance and its dynamics," Journal of Health Economics, Elsevier, vol. 75(C).
    6. Nathan Kettlewell, 2020. "Policy Choice and Product Bundling in a Complicated Health Insurance Market: Do People Get It Right?," Journal of Human Resources, University of Wisconsin Press, vol. 55(2), pages 566-610.
    7. Terence C. Cheng & Joan Costa-Font & Nattavudh Powdthavee, 2018. "Do You Have to Win It to Fix It? A Longitudinal Study of Lottery Winners and Their Health-Care Demand," American Journal of Health Economics, MIT Press, vol. 4(1), pages 26-50, Winter.
    8. Tianshu Bai & Susan Méndez & Anthony Scott & Jongsay Yong, 2020. "The falling growth in the use of private hospitals in Australia," Melbourne Institute Working Paper Series wp2020n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. Kettlewell, Nathan & Zhang, Yuting, 2023. "Financial Incentives and Private Health Insurance Demand on the Extensive and Intensive Margins," IZA Discussion Papers 16248, Institute of Labor Economics (IZA).
    10. Kettlewell, Nathan & Zhang, Yuting, 2023. "Financial Incentives and Private Health Insurance Demand on the Extensive and Intensive Margins," IZA Discussion Papers 16248, Institute of Labor Economics (IZA).
    11. Denise Doiron & Nathan Kettlewell, 2018. "The Effect of Health Insurance on the Substitution between Public and Private Hospital Care," The Economic Record, The Economic Society of Australia, vol. 94(305), pages 135-154, June.
    12. Judith Liu & Yuting Zhang, 2023. "Elderly responses to private health insurance incentives: Evidence from Australia," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2730-2744, December.

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    More about this item

    Keywords

    Private health insurance; Subsidies; Public and private finance; Simultaneous equation models; Count data;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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