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Losers and Losers: Some Demographics of Medical Malpractice Tort Reforms

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Abstract

Our research examines individual differences in the effects of medical malpractice tort reforms on pre-trial settlement speed and settlement amounts by age and most likely settlement size. Findings of note include that, unlike previously assumed, both absolute and percentage losses from tort reform are small for infants in an asset value sense and that the prime-aged working population is the group most negatively affected by tort reform. Maximum entropy quantile regressions highlight the robustness of our conclusions and reveal that the settlement losses most informative for policy evaluation differ greatly from mean regression estimates. Key Words: Medical Malpractice, Tort Reform, Texas Closed Claims, Damage Caps, Quantile Regression, Maximum Entropy JEL No. I 11, C 21

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  • Thomas J. Kniesner & Andrew Friedson, 2011. "Losers and Losers: Some Demographics of Medical Malpractice Tort Reforms," Center for Policy Research Working Papers 132, Center for Policy Research, Maxwell School, Syracuse University.
    • Handle: RePEc:max:cprwps:132
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    Cited by:

    1. McMichael, Benjamin, 2017. "Beyond Physicians: The Effect of Licensing and Liability Laws on the Supply of Nurse Practitioners and Physician Assistants," Working Papers 07538, George Mason University, Mercatus Center.
    2. Sebastian Panthöfer, 2022. "Do doctors prescribe antibiotics out of fear of malpractice?," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(2), pages 340-381, June.
    3. Andrew I. Friedson, 2017. "Medical Malpractice Damage Caps and Provider Reimbursement," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 118-135, January.
    4. Patricia H. Born & J. Bradley Karl, 2016. "The Effect of Tort Reform on Medical Malpractice Insurance Market Trends," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 13(4), pages 718-755, December.

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    More about this item

    Keywords

    medical malpractice; tort reform; texas closed claims; damage caps; quantile regression; maximum entropy jel no. i 11; c 21;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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