Description: Traditional predictive tools are not built to deal with the variability the world currently faces. The COVID-19 pandemic amounts to a prolonged black swan event, for which one must look past conventional assessments to arrive at any level of confident predictions. Behavioral analysis factors for biases and heuristics designed specifically for uncertain evolutionary contexts, and which are the primary drivers of market participants’ decisions at present. Through understanding the most likely behaviors of individuals, it becomes possible to arrive at an aggregate understanding of market outcomes.

Description: This article provides an overview of behavioral economic theory as it relates to health and welfare insurance plans and provides summaries of two sample applications of the theories: enrollment in health insurance exchanges created by the Patient Protection and Affordable Care Act, and product design considerations in light of vast health illiteracy.

Description: Numerous behavioral finance theories have emerged in recent years, many of which apply to insurance. The presenters look at key theories and their use in explaining, predicting and inducing behavior from the perspective of the health insurance customer journey.

Description: Long-term guarantees place unanticipated burdens on companies because of the degree to which the environment can change. These risks are compounded when combined with estimation of policyholder behavior, especially when solid experience data is not available. When risks are properly reflected, long-term guarantees do not always provide value to the customer in excess of the manufacturing cost. The product development actuary is challenged to compare customer value to company cost and use that measurement to identify novel ways to design products to better serve customers.