The dual approach for measuring multidimensional deprivation: Theory and empirical evidence

• 成果类型: Article
• 署名作者: Aaberge, Rolf; Peluso, Eugenio; Sigstad, Henrik
• 署名单位: Statistics Norway; University of Oslo; University of Verona; Harvard University
• 刊物名称: JOURNAL OF PUBLIC ECONOMICS
• ISSN/ISSBN: 0047-2727
• DOI: 10.1016/j.jpubeco.2019.06.004
• 发表日期: 2019
• 关键词: Multidimensional deprivation; poverty; Counting approach; Partial orderings; Dual measures of deprivation; Principles of changing association rearrangements

摘要

This paper is concerned with the problem of ranking and quantifying the extent of deprivation in multidimensional distributions of dichotomous deprivation variables. To this end, we introduce a family of measures of deprivation justified on the basis of dual social evaluation functions. Two alternative criteria of second-degree deprivation count distribution dominance are shown to divide the proposed family of deprivation measures into two separate subfamilies, which can be justified by a combination of correlation increasing and count neutral rearrangements. Based on EU-SILC data, we show that application of the proposed measures might lead to conclusions that differ from those attained by standard cut-off measures, and that results based on cut-off measures are more sensitive to the choice of specific measure. (C) 2019 Elsevier B.V. All rights reserved.