 Monitoring Inequality among Social Groups: A Methodology Combining Fuzzy Set Theory and Principal Component AnalysisJournal of Human Development and Capabilities, 2008, vol. 9, issue 3, 427-452 Abstract: The present paper contributes to operationalizing the Capability Approach by proposing a methodology for the design of sets of indicators for monitoring inequality among social groups based on census and household surveys. The result is a set of indicators and synthetic indices that can be disaggregated by social groups, in a way that allows the monitoring of inequalities in the overall achievement either of fundamental rights or of specific rights. The methodology combines the heuristic power of Principal Component Analysis in offering empirical evidence for the aggregation of indicators with the operational advantage of Fuzzy Set Theory for their final design and measurement. The paper emphasizes the complementarities of these statistical techniques. The methodology is illustrated by the design of a set of indicators for monitoring housing adequacy in the Venezuelan context. Keywords: Capabilities; Groups; Social inequality; Human rights; Monitoring; Fuzzy Set Theory; Principal Component Analysis; Factor analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:jhudca:v:9:y:2008:i:3:p:427-452 Ordering information: This journal article can be ordered from DOI: 10.1080/14649880802236706 Access Statistics for this article Journal of Human Development and Capabilities is currently edited by Kathryn Rosenblum More articles in Journal of Human Development and Capabilities from Taylor & Francis Journals |
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