Can measured risk attitudes and associated structural models predict insurance demand? In an experiment (n = 1,730), we … parameterize seventeen common structural models (e.g., expected utility, cumulative prospect theory). Subjects also make twelve … insurance choices over different loss probabilities and prices. The insurance choices show coherence and some correlation with …

Can measured risk attitudes and associated structural models predict insurance demand? In an experiment (n = 1,730), we … parameterize seventeen common structural models (e.g., expected utility, cumulative prospect theory). Subjects also make twelve … insurance choices over different loss probabilities and prices. The insurance choices show coherence and some correlation with …

Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting … claim severity distributions of an auto insurance big dataset and compare it with that obtained using a standard GLM model … the insurer in feature engineering and the development of a data-driven approach to risk management and insurance. …