Hierarchical random-effects model for the insurance pricing of vehicles belonging to a fleet
We are please to announce that our article on hierarchical random-effects model of estimation is now published in the Journal of Applied Econometrics. This model can be used in any count-data applications with random individual and common effects on events involving many agents having activities with a principal in a hierarchical principal-agent environment, such as in education, health care management, finance, risk management, and business firms.