Patricia H. Born, E. Tice Sirmans, Petra Steinorth
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Health insurers' use of quality improvement expenses to achieve a minimum medical loss ratio requirement
Health insurer medical loss ratios (MLRs) are the percentage of premium dollar spent on medical claims and healthcare quality improvement expenses (QIEs). QIEs include activities to improve patient health outcomes and safety, reduce medical errors, and prevent hospital readmissions. The Affordable Care Act mandates minimum MLRs in certain health insurance markets lest rebates be paid to policyholders. QIEs are reported in all markets regardless of whether that market is subject to minimum MLR requirements. Using health insurer statutory filings for a sample of group market insurers from 2010 to 2018, we employ a mixed regression discontinuity/regression kink approach to evaluate whether QIEs are used by insurers as a potential strategy for meeting the minimum MLR requirement. We show that health insurers' QIE increase in the loss ratio until meeting the minimum MLR requirement, have a significant discontinuous jump at the threshold, and decrease above the threshold after the introduction of the MLR mandate.
期刊介绍:
The Journal of Risk and Insurance (JRI) is the premier outlet for theoretical and empirical research on the topics of insurance economics and risk management. Research in the JRI informs practice, policy-making, and regulation in insurance markets as well as corporate and household risk management. JRI is the flagship journal for the American Risk and Insurance Association, and is currently indexed by the American Economic Association’s Economic Literature Index, RePEc, the Social Sciences Citation Index, and others. Issues of the Journal of Risk and Insurance, from volume one to volume 82 (2015), are available online through JSTOR . Recent issues of JRI are available through Wiley Online Library. In addition to the research areas of traditional strength for the JRI, the editorial team highlights below specific areas for special focus in the near term, due to their current relevance for the field.