000			04309nam a22004815i 4500
001			978-0-387-34251-1
003			DE-He213
005			20250710083953.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387342511 _a99780387342511
024	7		_a10.1007/978-0-387-34251-1 _2doi
082	0	4	_a330.1 _223
100	1		_aLemmi, Achille. _eeditor.
245	1	0	_aFuzzy Set Approach to Multidimensional Poverty Measurement _h[recurso electrónico] / _cedited by Achille Lemmi, Gianni Betti.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXV, 279 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aEconomic Studies in Inequality, Social Exclusion and Well-Being ; _v3
505	0		_aPhilosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality -- The Mathematical Framework of Fuzzy Logic -- An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets -- On the Convergence of Various Unidimensional Approaches -- Capability Approach and Fuzzy Set Theory: Description, Aggregation and Inference Issues -- Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach -- French Poverty Measures using Fuzzy Set Approaches -- The "Fuzzy Set" Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel -- Multidimensional Fuzzy Set Approach Poverty Estimates in Romania -- Multidimensional and Fuzzy Poverty in Switzerland -- A Comparison of Poverty According to Primary Goods, Capabilities and Outcomes. Evidence from French School Leavers' Surveys -- Multidimensional Fuzzy Relative Poverty Dynamic Measures in Poland -- Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression.
520			_aRecent theoretical and empirical studies have concluded that in order to be accurate, poverty and deprivation must be measured within a multidimensional framework that is consistent, efficient, and statistically robust. The fuzzy set approach to poverty measurement was developed in the early 1990s and continues to be refined by scholars of economics and sociology who find the traditional "monetary-only" indicators to be inadequate and arbitrary. This volume brings together advanced thinking on the multidimensional measurement of poverty, including the theoretical background, applications to cross-sections using contemporary European examples, and longitudinal aspects of multidimensional fuzzy poverty analysis that pay particular attention to the transitory, or impermanent, conditions that often occur during transitions to market economies. This book will be of interest to scholars and researchers and will be a useful text on poverty for advanced students in applied statistics, urban planning, economics, and sociology. Achille Lemmi is Professor of Economic Statistics at the University of Siena. His areas of interest and research include personal income distribution models, poverty and living conditions estimation and analysis, and poverty dynamics. Gianni Betti is Associate Professor of Economic Statistics at the University of Siena. His areas of interest and research include poverty and living conditions analysis, equivalence scales, small area estimation and poverty mapping.
650		0	_aECONOMICS.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650		0	_aSOCIAL SCIENCES _xMETHODOLOGY.
650		0	_aSOCIOLOGY.
650	1	4	_aECONOMICS/MANAGEMENT SCIENCE.
650	2	4	_aECONOMIC THEORY.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aSOCIOLOGY.
650	2	4	_aMETHODOLOGY OF THE SOCIAL SCIENCES.
700	1		_aBetti, Gianni. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387342498
830		0	_aEconomic Studies in Inequality, Social Exclusion and Well-Being ; _v3
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-34251-1 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBE
942			_2ddc _cER
999			_c57360 _d57360