首页> 外文期刊>Journal of Agricultural and Applied Economics >Information value of climate forecasts for rainfall index insurance for pasture, rangeland, and forage in the southeast United States.
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Information value of climate forecasts for rainfall index insurance for pasture, rangeland, and forage in the southeast United States.

机译:气候预测对美国东南部牧场,牧场和牧草的降雨量指数保险的信息价值。

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摘要

In this article, possible use of climate forecasts in rainfall index insurance of hay and forage production is considered in a geographical area (southeast United States) relatively heavily impacted by the El Nino Southern Oscillation (ENSO). Analysis of the stochastic properties of rainfall, yields, and the ENSO forecasts using the copula technique shows that the forecast impact depends on the proximity to the Gulf Coast where the impact of the ENSO is more pronounced and earlier in the year. Stochastic modeling shows that the use of skillful longterm climate forecasts by the insured producers creates intertemporal adverse selection that can be precluded by offering forecast conditional premiums. The impacts on the efficiency of the rainfall index insurance and results of sensitivity analysis with respect to model parameters are discussed.
机译:在本文中,在受厄尔尼诺南方涛动(ENSO)影响相对较大的地理区域(美国东南部),考虑了在干草和饲料生产的降雨指数保险中使用气候预测的可能性。通过使用copula技术对降雨,产量和ENSO预报的随机性进行分析,结果表明,预报的影响取决于与墨西哥湾沿岸的邻近程度,在该地区,ENSO的影响更为明显且在今年早些时候出现。随机模型显示,被保险生产者使用熟练的长期气候预测会产生跨期逆向选择,可以通过提供有条件的保费来排除这种不利选择。讨论了对降雨指数保险效率的影响以及关于模型参数的敏感性分析的结果。

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