贫困指数:构造与再造

Poverty Indices: Construction and Re-construction

在评介Sen指数、SST指数和FGT指数的基础上,本文提出了一种新的综合贫困量度——R指数。它满足作为有效的贫困指数应该满足的各项贫困量度公理,贫困鉴别力优于三个比照指数;它既可求之于不分组的收入数据,也可用分组收入数据作估计。模拟表明,与FGT指数相比,R指数的直接法和模型法的计算结果更接近,因而更适用于以参数型洛伦兹函数为基础的贫困测量和分析。

On the basis of an evaluation of Sen index,SST index and FGT index, a new aggregate poverty measure, namely R index, is proposed in this paper. R index satisfies all the key axioms desirable for an effective poverty index and its ability to distinguish the intensity of poverty is superior to those of the three contrast indices. What is more, not only can it be calculated directly from the ungrouped income data, but also it can be estimated with the grouped income data. Simulations show that, compared with FGT index,the differences of the results between the direct calculation and the model estimation for the new index are smaller. Therefore, it is a better choice to use R index for measuring and analyzing poverty based on the parameterized Lorenz curves.