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The effect of income-based mandates on the demand for private hospital insurance and its dynamics

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  • Buchmueller, Thomas C.
  • Cheng, Terence C.
  • Pham, Ngoc T.A.
  • Staub, Kevin E.

Abstract

We examine the effect of an income-based mandate on the demand for private hospital insurance and its dynamics in Australia. The mandate, known as the Medicare Levy Surcharge (MLS), is a levy on taxable income that applies to high-income individuals who choose not to buy private hospital insurance. Our identification strategy exploits changes in MLS liability arising from both year-to-year income fluctuations, and a reform where income thresholds were increased significantly. Using data from the Household, Income and Labour Dynamics in Australia longitudinal survey, we estimate dynamic panel data models that account for persistence in the decision to purchase insurance stemming from unobserved heterogeneity and state dependence. Our results indicate that being subject to the MLS penalty in a given year increases the probability of purchasing private hospital insurance by between 2 to 3 percent in that year. If subject to the penalty permanently, this probability grows further over the following years, reaching 13 percent after a decade. We also find evidence of a marked asymmetric effect of the MLS, where the effect of the penalty is about twice as large for individuals becoming liable compared with those going from being liable to not being liable. Our results further show that the mandate has a larger effect on individuals who are younger.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:jhecon:v:75:y:2021:i:c:s0167629620310493
    DOI: 10.1016/j.jhealeco.2020.102403
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    Cited by:

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    2. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2021. "Predicting individual effects in fixed effects panel probit models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1109-1145, July.
    3. Nathan Kettlewell & Yuting Zhang, 2024. "Age penalties and take‐up of private health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 33(4), pages 636-651, April.
    4. Nguyen, John, 2023. "The impact of private health insurance on household savings : Evidence from Australia," Warwick-Monash Economics Student Papers 48, Warwick Monash Economics Student Papers.
    5. 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).
    6. 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).
    7. 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; Insurance mandate; Panel data; Dynamic models;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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