Epistemic uncertainty in catastrophe models—A base level examination

In this paper, we evaluate sources of variation in the output from catastrophe models with emphasis on the epistemic uncertainty in modeled expected losses. Using building data from the 34 buildings that comprised the California Northridge campus at the time of the Northridge earthquake, we explore the sensitivity of estimated average annual losses obtained from a cat model to the quality of model input. Namely, we consider how changes in four key model assumptions—building locations, building height, construction type, and the event catalog—affect cat model loss estimates. We find that accurate information on some input variables is critical (e.g., all steel construction) and the interaction between input variables should not be discounted. Our results have important implications for insurer decisions that are informed by the output of catastrophe models—product pricing, portfolio diversification and underwriting decisions, negotiations and discussions with regulators and similar activities with capital market participants. The financial impact of improving data quality and targeting data related to key model inputs for that insurer when at scale is not trivial. As such, this paper provides an impetus for establishing and improving benchmarks for model inputs.     

An examination of anti-violence human resource management practices in the context of health care and aged care

Although accumulated research has demonstrated the negative impacts of workplace violence and called for effective solutions from a human resource management (HRM) perspective, a valid measure of anti-violence HRM practices is missing. In this paper, we develop a scale of anti-violence HRM practices that is critical for both theoretical advancement and managerial practices in health care and aged care contexts. Through an inductive approach in Study 1, we generated items for the scale to be used in health care and aged care contexts, which we then subjected to a content validity test in Study 2. Using the newly developed scale, we further demonstrated in Study 3 that anti-violence HRM practices that are implemented in aged care facilities reduce workers' experienced violence, improve workers' emotional wellbeing, and enhance workers' organisational and career commitment.     

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.