Incomplete health insurance enrollment is a persistent U.S. challenge despite large subsidies. We ask whether hassles built into enrollment systems matter for insurance take-up and targeting. Studying removal of an auto-enrollment policy, we find that a small hassle – a requirement to actively...

We review the evidence on decision making in complex choice situations—i.e., situations where there are many alternatives and/or where attributes of alternatives are difficult to understand. We focus on choices about health insurance, health care, and retirement planning, all of which are very...

Markov-based and discrete event simulation models are widely used in health economic analysis to estimate the long term effects of treatment on clinical and economic outcomes. However, none of them simultaneously integrate patients' economic resources and their medical decision making in the...

Background: In health economic evaluation, utility associated with a health state is outcome-oriented and usually measured using the QALY methodology. Even though there is consistent evidence of utility not only being derived from outcomes but also from procedures, process utility has not been...

Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framework that incorporates machine learning on...

Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framework that incorporates machine learning on...