Volesky, Jerry D.

By: Yu, Jisang; Vandeveer, Monte; Volesky, Jerry D.; Harmoney, Keith
Using historical yield and rainfall data from three university-managed ranches in Kansas and Nebraska, we measure basis risk of Rainfall Index Insurance for Pasture, Rangeland, and Forage (PRF-RI). We investigate the relationship between forage yield and monthly precipitation and estimate the relationship between forage yield and PRF-RI indices. Finally, we estimate basis risk of PRF-RI. Our estimates suggest that using actual site-level precipitation values would reduce basis risk by only 5%–9%, indicating that basis risk stems mostly from nonprecipitation factors. Using more flexible contract forms with site-level precipitation would have little impact on decreasing the degree of basis risk.