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Factor Analysis vs. Fuzzy Sets Theory: Assessing the Influence of Different Techniques on Sen's Functioning Approach

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Sara Lelli ()
Abstract

This paper explores a couple of specific operational interpretations of Sen's approach in view of assessing the extent to which the results originated by the implementation of Sen's concepts are influenced by the choice of the specific technique. By means of a survey based on a representative sample of Belgian individuals, seven achieved functioning's are identified via each technique and subsequently confronted. To structure the information and to facilitate comparisons, standard multivariate analysis is performed, while at the same time considering in more detail the sub-group of the most deprived individuals. In this way, a substantial accordance - yet no perfect equivalence - is uncovered in the general patterns of functionings' achievements.

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File URL: http://www.econ.kuleuven.ac.be/ew/academic/econover/Papers/DPS0121.pdf
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Paper provided by Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics in its series Public Economics Working Paper Series with number ces0121.

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Length: 35 pp.
Date of creation: 2001
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Handle: RePEc:wpe:papers:ces0121

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Bruno Cheli & Gianni Betti, 1999. "Fuzzy analysis of poverty dynamics on an italian pseudo panel 1985-1994," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 85-105. [Downloadable!]
  2. Barrett, C Richard & Pattanaik, Prasanta K, 1989. "Fuzzy Sets, Preference and Choice: Some Conceptual Issues," Bulletin of Economic Research, Blackwell Publishing, vol. 41(4), pages 229-53, October.
  3. Rajat Deb & Manabendra Dasgupta, 1996. "Transitivity and fuzzy preferences," Social Choice and Welfare, Springer, vol. 13(3), pages 305-318.
  4. Kunal Sengupta, 1999. "Choice rules with fuzzy preferences: Some characterizations," Social Choice and Welfare, Springer, vol. 16(2), pages 259-272. [Downloadable!] (restricted)
  5. Clark, Andrew E., 1997. "Job satisfaction and gender: Why are women so happy at work?," Labour Economics, Elsevier, vol. 4(4), pages 341-372, December. [Downloadable!] (restricted)
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  6. Desai, Meghnad & Shah, Anup, 1988. "An Econometric Approach to the Measurement of Poverty," Oxford Economic Papers, Oxford University Press, vol. 40(3), pages 505-22, September. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Tindara Addabbo & Maria Laura Di Tommaso & Gisella Facchinetti, 2004. "To what extent fuzzy set theory and structural equation modelling can measure functionings? An application to child well being," CHILD Working Papers wp30_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY. [Downloadable!]
  2. María Noel Pi Alperin, 2009. "The impact of Argentina's social assistance program plan jefes y jefas de hogar on structural poverty," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 0(Special i), pages 49-81. [Downloadable!]
  3. Szeles, Monica, 2004. "Multidimensional Poverty Comparisons within Europe. Evidence from the European Community Household Panel," IRISS Working Paper Series 2004-05, IRISS at CEPS/INSTEAD. [Downloadable!]
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