Computational tools for poverty measurement and analysis
Computational tools for poverty measurement and analysis
复制标题
贫困测量和分析的计算工具
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
G. Datt
中科院分区：
文献类型：
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作者：
G. Datt
本文介绍了一些相对简单的计算工具，用于根据通常可从公开来源获得的数据估计贫困指标。使用这些工具所需要的只是一个基本的回归包。这种方法也很容易适用于许多贫穷模拟，其中一些已被讨论。本文解决了核心问题：我们如何从消费和收入的分组数据中构建贫困指标？可以确定两种广泛的方法：简单插值方法和基于参数化洛伦兹曲线的方法。本文简要介绍了这两种方法，并讨论了为什么第二种方法可能被认为是可取的。
This paper introduces some relatively straightforward computational tools for estimating poverty measures from the sort of data that are typically available from published sources. All that is required for using these tools is an elementary regression package. The methodology also easily lends itself to a number of poverty simulations, some of which are discussed. The paper addresses the central question: How do we construct poverty measures from grouped data on consumption and income? Two broad approaches can be identified: simple interpolation methods and methods based on parameterized Lorenz curves. The paper briefly describes the two approaches and discusses why the second may be considered preferable.