Fuzzy Multidimensional Poverty Measurement: An Analysis of Statistical Behaviors

Sung-Geun Kim ()

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2015, vol. 120, issue 3, 635-667

Abstract: Using the 2006 round of the British Household Panel Study dataset, I explore the statistical behavior of three fuzzy measures of poverty through a simulation (Monte Carlo) method. The measures [totally fuzzy (TF), totally fuzzy and relative (TFR), and integrated fuzzy and relative (IFR)] acknowledge that (1) poverty is a multidimensional concept, and (2) the ‘poor’ and ‘non-poor’ are not two mutually exclusive sets and the distinction can be ‘fuzzy’. I find that the sampling distributions of the fuzzy measures are quite normally distributed, and they are robust to arbitrary choice in the estimation as well as reliable with relatively small sample size, though there is some differences between the methods. Also, I show that they are robust to measurement errors: allowing random measurement errors in all indicators, the measures still yield strongly reliable results. Finally, I investigate the identification performance of each measure and show that IFR measure has strong consistency, while both TF and TFR measures significantly underestimate the number of people whose fuzzy index values are very high. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Totally fuzzy (TF); Totally fuzzy and relative (TFR); Integrated fuzzy and relative (IFR); Monte Carlo method; Multidimensional poverty; Capability approach (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11205-014-0616-8 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:soinre:v:120:y:2015:i:3:p:635-667

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11205-014-0616-8

Access Statistics for this article

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement is currently edited by Filomena Maggino

More articles in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().