EFFICIENCY IMPACTS OF UTILIZING SOIL DATA IN THE PRICING OF THE FEDERAL CROP INSURANCE PROGRAM

被引:30
作者
Woodard, Joshua D. [1 ,2 ]
Verteramo-Chiu, Leslie J. [3 ]
机构
[1] Cornell Univ, Agribusiness & Finance, Ithaca, NY 14853 USA
[2] Cornell Univ, Dyson Sch Appl Econ & Management, Ithaca, NY 14853 USA
[3] Cornell Univ, Ithaca, NY 14853 USA
关键词
Federal crop insurance; soil; risk management; insurance rating; GOVERNMENT; WEATHER; HEAT; RATEMAKING; SELECTION; COST;
D O I
10.1093/ajae/aaw099
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
Since the Agricultural Act of 2014, the federal crop insurance program (FCIP) has been the cornerstone agricultural policy in the United States, and is the largest such program globally, with about $100 billion in coverage annually. Given its scale and scope, the FCIP has the potential to have pervasive impacts on incentives and policy functioning if not designed and priced properly. Surprisingly, soil data are not considered by the government when establishing insurance guarantees or rates. Using soil data that could easily and feasibly be scaled nationally, we find that the pricing differentials caused by the government's failure to handle soil information leads to large errors in rating.
引用
收藏
页码:757 / 772
页数:16
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