lee-carter模型代码,所需数据文件内容
时间: 2023-12-04 17:03:44 浏览: 156
论文研究-基于双因子Lee-Carter模型的死亡率预测及年金产品风险评估.pdf
Lee-Carter模型需要一些人口统计数据,通常包括每年的死亡率矩阵。下面是一个简化的示例数据文件,包含了5个年龄组和10个年份的死亡率数据:
```
,Age 0-5,Age 6-10,Age 11-15,Age 16-20,Age 21-25
2000,0.001,0.002,0.003,0.004,0.005
2001,0.001,0.003,0.005,0.007,0.009
2002,0.002,0.004,0.006,0.008,0.010
2003,0.003,0.005,0.007,0.009,0.011
2004,0.004,0.006,0.008,0.010,0.012
2005,0.005,0.007,0.009,0.011,0.013
2006,0.006,0.008,0.010,0.012,0.014
2007,0.007,0.009,0.011,0.013,0.015
2008,0.008,0.010,0.012,0.014,0.016
2009,0.009,0.011,0.013,0.015,0.017
```
在这个示例数据文件中,每一行代表一个年份,每一列代表一个年龄组。数据文件的第一行是列名,第一列是索引。您可以将此数据保存为CSV文件,然后使用上一条回答中的Python代码读取并分析数据。
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