• DocumentCode
    1826066
  • Title

    Health Insurance Reform in an Experimental Market: Human Subjects, Agents Combined to Study Complex Regulatory Reform Proposals

  • Author

    Rassenti, Stephen J. ; Johnston, Carl A.

  • Author_Institution
    Economic Sci. Inst., Chapman Univ., Orange, CA, USA
  • Volume
    4
  • fYear
    2009
  • fDate
    29-31 Aug. 2009
  • Firstpage
    530
  • Lastpage
    537
  • Abstract
    We used human subjects in an agent-based market architecture to examine nine different experimental markets featuring different health care insurance scenarios. We compared a scenario in which no reforms occurred to different combinations of employer-and individual-mandates, restricted rating, and variations in numbers of choices and requirements that employers pay minimum percentages of their employees´ insurance premiums. We then tracked the performance of stakeholders, including employees and large and small employers, as well as firms in high-profit-margin and low-margin markets and their overall revenues and analyzed the resulting data. We found that employee and individual mandates, separately or combined, are not enough by themselves to improve outcomes for all stakeholders. The results show the vulnerability of small-and low-margin employers and their employees to mandate regimes.
  • Keywords
    health care; insurance data processing; personnel; agent-based market architecture; complex regulatory reform proposal; employer-and individual-mandates; experimental market; health care insurance reform; high-profit-margin market; insurance premium; low-margin market; restricted rating; Companies; Costs; Data analysis; Humans; Ice; Insurance; Medical services; Productivity; Proposals; Robots; Agent-based; Health Care; Insurance; experimental economics; social computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.414
  • Filename
    5284248