基于分组数据测算不均等与贫困等收入分配指标: 兼顾数据截断问题的方法论评估
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万广华, 江葳蕤, 胡晓珊
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Measuring Income Distribution Indicators such as Inequality and Poverty based on Grouped Data: A Methodological Assessment Considering Data Truncation
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Guanghua WAN, Weirui JIANG, Xiaoshan HU
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表A18 调整前各指标平均绝对百分比偏差(%) (十等份分组数据, 模拟200次)
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分布 | Lognormal | Gamma | Weibull | Dagum | SM | Beta2 | GB2 | Pareto | Gini | 0.85 | 17.85 | 15.56 | 0.43 | 0.53 | 0.54 | 1.02 | 13.00 | Poverty2300 | 21.80 | 3.60 | 338.48 | 2.01 | 3.62 | 9.71 | 4.66 | 110.22 | Poverty19 | 16.24 | 4.89 | 265.51 | 4.37 | 6.08 | 9.32 | 7.01 | 107.24 | Poverty32 | 2.77 | 12.44 | 145.79 | 3.83 | 2.59 | 1.17 | 3.18 | 103.04 | Mid1 | 2.36 | 40.64 | 1.86 | 2.31 | 0.99 | 1.16 | 1.72 | 49.91 | Mid2 | 7.41 | 1.64 | 41.39 | 5.09 | 2.25 | 2.86 | 2.79 | 66.97 |
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