中文摘要：

农业产量保险的费率厘定常受到数据量少、产量分布选择不一致等问题的影响，使得费率制定者常常对结果的选择感到困惑，缺乏足够的可确信度。为此，本文用Bootstrap方法给出费率的区间估计以弥补点估计的不足。本文通过模拟测试，验证了Bootstrap方法费率点估计和区间估计的优良性。最后，对黑龙江14个县市的玉米产量数据做了实证分析。

英文摘要：

The premium rating in crop insurance is easily impacted by the uneven yield distribution and the limited data size, and the result often looks uncertain and confusing even to the underwriters themselves. To overcome this shortcoming of point estimation, we used the Bootstrap method to obtain the range estimation for the premium rate. Using a Monte Carlo experiment, the performance of the Bootstrap method for range estimation and point estimation was tested with a favorable effect. Finally, we applied this method to price the corn insurance for 14 counties of Hei- longjiang Province.