Multiple Peril Crop Insurance (MPCI) Model for the U.S.
AIR's U.S. MPCI model employs the Agricultural Weather Index™ (AWI™) to capture the effect of weather on crop yield variability to provide potential yield outcomes and associated price scenarios. The AWI is county- and crop-specific, and considers regional variations in geography and climate to better estimate possible impacts on growing seasons. The model captures yield correlations both spatially and between crops to account for widespread weather effects, as well as correlations between crop yields and prices.
Explore our MPCI model for the U.S.
Multiple Peril Crop Insurance (MPCI) Model for China
The model leverages the AIR AWI and captures the severity, frequency, and location of drought, flood, wind, and frost/freeze events across the country. It also offers the first probabilistic approach for determining the likelihood of losses to China's forests caused by fire. The model reflects the specific policy conditions of China's insurance programs by province and offers multiple views of crop risk, customizable premium rates, and peril and line-of-business filters.
Discover our MPCI model for China