IDEAS home Printed from https://ideas.repec.org/a/kap/jrisku/v45y2012i2p115-133.html
   My bibliography  Save this article

Losers and losers: Some demographics of medical malpractice tort reforms

Author

Listed:
  • Andrew Friedson
  • Thomas Kniesner

Abstract

Our research examines how recent reforms have affected a key aspect of patients’ implicit insurance present in medical malpractice torts. Specifically, we estimate how non-economic damages caps affected pre-trial settlement speed and settlement amounts. Maximum entropy (most likely) quantile regressions emphasize that the post-reform settlement effects most informative for policy evaluation differ greatly from OLS (mean) estimates and clarify the conclusion emerging. In particular, the effect of the tort reform here can best be thought of as a 25% tax on the asset value of settlements that exempts settlements involving infants. The social welfare effects of tort reform are less clear than the asset reduction effects due to likely health state dependent utility. Copyright Springer Science+Business Media New York 2012

Suggested Citation

  • Andrew Friedson & Thomas Kniesner, 2012. "Losers and losers: Some demographics of medical malpractice tort reforms," Journal of Risk and Uncertainty, Springer, vol. 45(2), pages 115-133, October.
  • Handle: RePEc:kap:jrisku:v:45:y:2012:i:2:p:115-133
    DOI: 10.1007/s11166-012-9152-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11166-012-9152-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11166-012-9152-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Viscusi, W Kip, 1988. "Product Liability Litigation with Risk Aversion," The Journal of Legal Studies, University of Chicago Press, vol. 17(1), pages 101-121, January.
    2. Daniel P. Kessler & Mark McClellan, 1996. "Do Doctors Practice Defensive Medicine?," NBER Working Papers 5466, National Bureau of Economic Research, Inc.
    3. Thomas Kniesner & W. Viscusi & James Ziliak, 2010. "Policy relevant heterogeneity in the value of statistical life: New evidence from panel data quantile regressions," Journal of Risk and Uncertainty, Springer, vol. 40(1), pages 15-31, February.
    4. Katherine Baicker & Amitabh Chandra, 2006. "The Labor Market Effects of Rising Health Insurance Premiums," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 609-634, July.
    5. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, May.
    6. Ronen Avraham, 2007. "An Empirical Study of the Impact of Tort Reforms on Medical Malpractice Settlement Payments," The Journal of Legal Studies, University of Chicago Press, vol. 36(S2), pages 183-229, June.
    7. Anil K. Bera & Antonio F. Galvao Jr. & Gabriel V. Montes-Rojas & Sung Y. Park, 2014. "Which Quantile is the Most Informative? Maximum Likelihood, Maximum Entropy and Quantile Regression," World Scientific Book Chapters, in: Kaddour Hadri & William Mikhail (ed.), Econometric Methods and Their Applications in Finance, Macro and Related Fields, chapter 7, pages 167-199, World Scientific Publishing Co. Pte. Ltd..
    8. Daniel Kessler & Mark McClellan, 1996. "Do Doctors Practice Defensive Medicine?," The Quarterly Journal of Economics, Oxford University Press, vol. 111(2), pages 353-390.
    9. Viscusi, W Kip & Evans, William N, 1990. "Utility Functions That Depend on Health Status: Estimates and Economic Implications," American Economic Review, American Economic Association, vol. 80(3), pages 353-374, June.
    10. Lakdawalla, Darius N. & Seabury, Seth A., 2012. "The welfare effects of medical malpractice liability," International Review of Law and Economics, Elsevier, vol. 32(4), pages 356-369.
    11. James Andreoni & Charles Sprenger, 2010. "Risk Preferences Are Not Time Preferences: Discounted Expected Utility with a Disproportionate Preference for Certainty," NBER Working Papers 16348, National Bureau of Economic Research, Inc.
    12. Golan, Amos, 2007. "Information and entropy econometrics - volume overview and synthesis," Journal of Econometrics, Elsevier, vol. 138(2), pages 379-387, June.
    13. Rubin Paul H. & Shepherd Joanna M., 2008. "The Demographics of Tort Reform," Review of Law & Economics, De Gruyter, vol. 4(2), pages 591-620, December.
    14. Golan, Amos, 2008. "Information and Entropy Econometrics — A Review and Synthesis," Foundations and Trends(R) in Econometrics, now publishers, vol. 2(1–2), pages 1-145, February.
    15. Beomsoo Kim, 2007. "The Impact of Malpractice Risk on the Use of Obstetrics Procedures," The Journal of Legal Studies, University of Chicago Press, vol. 36(S2), pages 79-119, June.
    16. Vincent P. Crawford, 1982. "Compulsory Arbitration, Arbitral Risk and Negotiated Settlements: A Case Study in Bargaining under Imperfect Information," Review of Economic Studies, Oxford University Press, vol. 49(1), pages 69-82.
    17. W. Kip Viscusi & Patricia H. Born, 2005. "Damages Caps, Insurability, and the Performance of Medical Malpractice Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(1), pages 23-43, March.
    18. Joni Hersch & Jeffrey O'Connell & W. Kip Viscusi, 2007. "An Empirical Assessment of Early Offer Reform for Medical Malpractice," The Journal of Legal Studies, University of Chicago Press, vol. 36(S2), pages 231-259, June.
    19. Daniel P. Kessler, 2011. "Evaluating the Medical Malpractice System and Options for Reform," Journal of Economic Perspectives, American Economic Association, vol. 25(2), pages 93-110, Spring.
    20. Donald Keenan & Donald Rudow & Arthur Snow, 2008. "Risk preferences and changes in background risk," Journal of Risk and Uncertainty, Springer, vol. 36(2), pages 139-152, April.
    21. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2012. "The Value of a Statistical Life: Evidence from Panel Data," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 74-87, February.
    22. David A. Matsa, 2007. "Does Malpractice Liability Keep the Doctor Away? Evidence from Tort Reform Damage Caps," The Journal of Legal Studies, University of Chicago Press, vol. 36(S2), pages 143-182, June.
    23. Frank A. Sloan & Lindsey M. Chepke, 2008. "Medical Malpractice," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262195720.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Panthöfer, S., 2016. "Do Doctors Prescribe Antibiotics Out of Fear of Malpractice?," Health, Econometrics and Data Group (HEDG) Working Papers 16/31, HEDG, c/o Department of Economics, University of York.
    2. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew I. Friedson, 2017. "Medical Malpractice Damage Caps and Provider Reimbursement," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 118-135, January.
    2. Paola Bertoli & Veronica Grembi, 2017. "Medical Malpractice: How Legal Liability Affects Medical Decisions," CERGE-EI Working Papers wp600, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    3. Matter, Ulrich & Stutzer, Alois, 2015. "Politico-economic determinants of tort reforms in medical malpractice," Working papers 2015/02, Faculty of Business and Economics - University of Basel.
    4. Cotet-Grecu, Anca, 2015. "The impact of non-economic damages caps on obstetrics: Incentives versus practice style," Economics & Human Biology, Elsevier, vol. 17(C), pages 29-41.
    5. Daniel Montanera, 2016. "The importance of negative defensive medicine in the effects of malpractice reform," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(3), pages 355-369, April.
    6. Scott Barkowski, 2017. "Does Regulation of Physicians Reduce Health Care Spending?," Southern Economic Journal, John Wiley & Sons, vol. 83(4), pages 1074-1097, April.
    7. Morita, Hatsuru, 2018. "Criminal prosecution and physician supply," International Review of Law and Economics, Elsevier, vol. 55(C), pages 1-11.
    8. Janet Currie & W. Bentley MacLeod, 2008. "First Do No Harm? Tort Reform and Birth Outcomes," The Quarterly Journal of Economics, Oxford University Press, vol. 123(2), pages 795-830.
    9. Daniel P. Kessler & Daniel L. Rubinfeld, 2004. "Empirical Study of the Civil Justice System," NBER Working Papers 10825, National Bureau of Economic Research, Inc.
    10. Ethan M. J. Lieber, 2014. "Medical Malpractice Reform, the Supply of Physicians, and Adverse Selection," Journal of Law and Economics, University of Chicago Press, vol. 57(2), pages 501-527.
    11. Buzzacchi, Luigi & Scellato, Giuseppe & Ughetto, Elisa, 2016. "Frequency of medical malpractice claims: The effects of volumes and specialties," Social Science & Medicine, Elsevier, vol. 170(C), pages 152-160.
    12. Benjamin Ho & Elaine Liu, 2011. "Does sorry work? The impact of apology laws on medical malpractice," Journal of Risk and Uncertainty, Springer, vol. 43(2), pages 141-167, October.
    13. Anca Cotet, 2009. "Tort Reform and the Demand for Medical Care: Evidence from State-by-State Variation in Non-Economic Damages Caps," Working Papers 200901, Ball State University, Department of Economics, revised Mar 2010.
    14. Matter, Ulrich & Stutzer, Alois, 2016. "The role of party politics in medical malpractice tort reforms," European Journal of Political Economy, Elsevier, vol. 42(C), pages 17-35.
    15. Sloan, Frank A. & Shadle, John H., 2009. "Is there empirical evidence for "Defensive Medicine"? A reassessment," Journal of Health Economics, Elsevier, vol. 28(2), pages 481-491, March.
    16. Helland, Eric & Seabury, Seth A., 2015. "Tort reform and physician labor supply: A review of the evidence," International Review of Law and Economics, Elsevier, vol. 42(C), pages 192-202.
    17. Frakes, Michael D. & Frank, Matthew B. & Seabury, Seth A., 2020. "The effect of malpractice law on physician supply: Evidence from negligence-standard reforms," Journal of Health Economics, Elsevier, vol. 70(C).
    18. Ity Shurtz, 2014. "Malpractice Law, Physicians' Financial Incentives, and Medical Treatment: How Do They Interact?," Journal of Law and Economics, University of Chicago Press, vol. 57(1), pages 1-29.
    19. Xin Zhao & Xiaoxue Li & Benno Torgler & Uwe Dulleck, 2021. "Patient violence, physicians treatment decisions, and patient welfare: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1461-1479, June.
    20. Michael Frakes & Matthew B. Frank & Seth Seabury, 2015. "Do Physicians Respond to Liability Standards?," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 171(1), pages 58-77, March.

    More about this item

    Keywords

    Medical malpractice; Tort reform; Texas closed claims; Damage caps; Quantile regression; Maximum entropy; C21; I18; K13;
    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jrisku:v:45:y:2012:i:2:p:115-133. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.