In this paper we propose a flexible framework for the design of weather index insurance (WII) based on penalized spline methods. The aim is to find the indemnity function which optimally characterizes the intricate relationship between agricultural production losses and weather variables and...

Determining the appropriate premium to charge for the underlying risk is central to delivering a sustainable agricultural insurance program. While this is fundamental to all types of insurance, in agriculture this is a particularly challenging task given systemic risk, information asymmetry, and...

The focus of this paper is on predictive analytics regarding data scarcity and credibility, which are major difficulties facing the agricultural insurance sector often due to limited loss experience data for those infrequent, but, extreme weather events. A new relational data-matching model is...