Remotely sensed rainfall is increasingly being used to manage climate-related risk in gauge sparse regions. Applications based on such data must make maximal use of the skill of the methodology in order to avoid doing harm by providing misleading information. This is especially challenging in regions, such as Africa, which lack gauge data for validation. In this study, we show how calibrated en...

ABSTRACT Objective: this article studies the efficiency of a novel regression approach, geographically weighted quantile lasso (GWQlasso), in modeling yield-index relationship for weather index insurance products. GWQlasso allows coefficients to vary spatially, while using information from neighboring locations derive robust estimates. The component model facilitates selection relevant explanat...

Abstract Extreme weather events increasingly threaten the economic situation of households and enterprises around world. Insurance against extreme is among climate change adaptation instruments that are currently discussed by policy community. This overview paper provides a synopsis state research on insurance events, outlining advantages limitations inherent in three main types insurance: inde...

Systemic weather risk is a major obstacle for the formation of private (nonsubsidized) crop insurance. This paper explores the possibility of spatial diversification of insurance by estimating the joint occurrence of unfavorable weather conditions in different locations. For that purpose copula methods are employed that allow an adequate description of stochastic dependencies between multivaria...