二元环境下的贫困状况推断

IF 9.9 3区 经济学 Q1 ECONOMICS
Maria Grazia Pittau , Pier Luigi Conti , Roberto Zelli
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引用次数: 0

摘要

本文解决了当剥夺的严重程度由(加权)二元变量的总和来衡量时比较剥夺分布的问题。为了完成这项任务,它提供了一个图形工具,即剥夺的三个I (TID)曲线,它总结了一个社会中剥夺的发生率、强度和不平等方面,是广泛用于收入贫困分析的TIP曲线的自然对应。估计的剥夺曲线周围的不确定性通过同时的置信带来评估。一个优势假设检验提出,以方便比较和排序的TID曲线跨群体和随时间。计算了符合TID排序的秩相关多重剥夺指数,并建立了置信区间。作为一个实质性的说明,分析了大流行病爆发期间欧洲各国物质和社会剥夺的演变情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inference for deprivation profiles in a binary setting
The paper addresses the issue of comparing deprivation distributions when the severity of deprivation is measured by a sum of (weighted) binary variables. To accomplish this task, it provides a graphical tool, the Three I’s of Deprivation (TID) curve, which summarises the incidence, intensity and inequality aspects of deprivation in a society and is the natural counterpart to the TIP curve widely used in income poverty analysis. Uncertainty around the estimated deprivation curves is assessed by simultaneous confidence bands. A dominance hypothesis test is presented to facilitate the comparison and ordering of TID curves across groups and over time. A rank-dependent multi-deprivation index consistent with the TID ordering is calculated and confidence intervals are developed. As a substantive illustration, the evolution of material and social deprivation across European countries over the period of the pandemic outbreak is analysed.
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来源期刊
Journal of Econometrics
Journal of Econometrics 社会科学-数学跨学科应用
CiteScore
8.60
自引率
1.60%
发文量
220
审稿时长
3-8 weeks
期刊介绍: The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, and machine learning methods, are decidedly within the range of the Journal''s interests. The Annals of Econometrics is a supplement to the Journal of Econometrics.
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