mpitb:多维贫困指数工具箱

IF 3.2 2区数学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS

Stata Journal Pub Date : 2023-09-01 DOI:10.1177/1536867x231195286

Nicolai Suppa

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引用次数: 1

摘要

在本文中，我介绍了mpith，一个多维贫困指数(MPIs)工具箱。mpitb包包含几个子命令，以促进mpi的规范、估计和分析，并支持流行的Alkire - Foster多维贫困衡量框架。mpith为从事mpi的研究人员、分析人员和实践者提供了一些好处，包括节省大量时间(例如，由于较低的数据管理和编程需求)，同时允许进行更全面的分析。除了各种便利功能之外，mpitb还为高级用户和程序员提供低级工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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mpitb: A toolbox for multidimensional poverty indices

In this article, I present mpitb, a toolbox for multidimensional poverty indices (MPIs). The package mpitb comprises several subcommands to facilitate specification, estimation, and analyses of MPIs and supports the popular Alkire– Foster framework to multidimensional poverty measurement. mpitb offers several benefits to researchers, analysts, and practitioners working on MPIs, including substantial time savings (for example, because of lower data management and programming requirements) while allowing for a more comprehensive analysis at the same time. Aside from various convenience functions, mpitb also provides low-level tools for advanced users and programmers.

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来源期刊

Stata Journal 数学-统计学与概率论

CiteScore

7.80

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.