2003
DOI: 10.1080/1350178032000042059
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Vague language and precise measurement: the case of poverty

Abstract: Economists have often attempted precise measurement of phenomena which involve vague predicates. Difficulties emerge in such attempts if vagueness is not explicitly acknowledged at the methodological level. In this paper, various accounts of vague concepts are used to think about the economics of poverty measurement. Approaches to dealing with vagueness in this context tend to involve 'epistemic' and 'fuzzy set theoretic' approaches. Indeed, only the fuzzy set theoretic literature takes on vagueness explicitly… Show more

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Cited by 57 publications
(38 citation statements)
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“…Cheli and Lemmi (1995) consequently propose a fuzzy and relative approach to vulnerability, which enables them to define an "exposure to the risk of poverty" notion. The vulnerability concept used in Qizilbash (2003 and2006) is an individual's distance from a definite, unambiguous state of poverty. The closer the individual is to being definitely poor, the greater his vulnerability.…”
Section: Introductionmentioning
confidence: 99%
“…Cheli and Lemmi (1995) consequently propose a fuzzy and relative approach to vulnerability, which enables them to define an "exposure to the risk of poverty" notion. The vulnerability concept used in Qizilbash (2003 and2006) is an individual's distance from a definite, unambiguous state of poverty. The closer the individual is to being definitely poor, the greater his vulnerability.…”
Section: Introductionmentioning
confidence: 99%
“…To this end, the use of vague theories such as fuzzy logic (Zadeh, 1965;Zimmermann, 2001) or supervaluationist logic (Keefe, 2000(Keefe, , 2008Qizilbash, 2003) might perhaps prove helpful. cfroe Cash flow return on equity IRR of (−e 0 , e 1 , .…”
Section: Resultsmentioning
confidence: 99%
“…In particular, a vague approach to reckoning poverty is compatible with postulating a 'fuzzy membership function', which assigns a 'poverty status' in the interval [0,1] to each individual income in a distribution. On fuzzy poverty measurement, the reader is referred to, among others, Kundu and Smith (1983), Shorrocks and Subramanian (1994), Chiappero-Martinetti (2000), Qizilbash (2003), and Subramanian (2009b). (It should be noted that the fuzzy approach described in this paper corresponds to what Qizilbash 2003 calls the 'degree' approach, and which he distinguishes from 'epistemic' and 'supervaluationist' approaches to accounting for vague predicates.…”
Section: Where Focus Is Irrelevant: Further Examples Of Measures Whicmentioning
confidence: 99%