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The effectiveness of weather-based index insurance and area-yield crop insurance: how reliable are ex post predictions for yield risk reduction?

机译:基于天气的指数保险和单产作物保险的有效性:事后预测降低单产风险的可靠性如何?

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摘要

An ex post measure of risk reduction is commonly used in the literature to predict the potential reduction of farmers' yield risk due to weather-based index insurance and area-yield crop insurance. In this paper, we evaluate the predictive power of the ex post risk reduction for different weather-based index as well as area-yield index and farm yield insurance contracts. We compute an empirical benchmark of potential risk reduction against which the ex post estimates are evaluated by distinguishing between a training data set and a test data set. Based on data for 40 wheat producers in Kazakhstan, our empirical analysis shows that the ex post approach can overestimate farmers' future risk reductions due to crop insurance schemes based on weather indexes or area yields. Therefore, we argue that the decision about the market launch of index-based insurance instruments should be based on more than just the common ex post approach.
机译:文献中通常使用事后降低风险的措施来预测由于基于天气的指数保险和单产作物保险而降低农民的生产风险。在本文中,我们评估了不同天气指数,面积收益率指数和农场收益保险合同的事后风险降低的预测能力。我们计算出潜在风险降低的经验基准,通过区别训练数据集和测试数据集来评估事后估计。基于哈萨克斯坦40个小麦生产者的数据,我们的经验分析表明,由于基于天气指数或面积单产的作物保险计划,事后方法可以高估农民未来的风险降低。因此,我们认为,关于基于指数的保险工具的市场启动的决定应该不仅基于普通的事后方法。

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