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The Multidimensional Measurement Of Poverty: A Fuzzy Set Approach

Author

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  • Michele Costa
  • Luca De Angelis

Abstract

By using fuzzy set theory a multidimensional analysis of poverty of Italian households is performed on the basis of SHIW data. A set of composite indicators is constructed in order to analyze different dimensions of poverty. For each indicator is calculated an unidimensional poverty ratio, thus allowing a comparison among indicators on the dimensions of poverty. Finally, a multidimensional poverty ratio is obtained.

Suggested Citation

  • Michele Costa & Luca De Angelis, 2008. "The Multidimensional Measurement Of Poverty: A Fuzzy Set Approach," Statistica, Department of Statistics, University of Bologna, vol. 68(3), pages 303-319.
    • Handle: RePEc:bot:rivsta:v:68:y:2008:i:3:p:303-319
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    Cited by:

    1. Lakhimi Nath & Dr. Mausumi Sen & Dr. Sumanash Dutta, 2015. "Women Empowerment and Occupation Linkage: A Case Study of Nagaon District," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 6(3), pages 37-42, September.
    2. Bao, Yan Xi & Liao, Ting Xuan, 2021. "Capability Approach: Reconciling the Absolute Core and the Multidimensional Relative Poverty Measures," MPRA Paper 111333, University Library of Munich, Germany.
    3. Ke-Mei Chen & Chao-Hsien Leu & Te-Mu Wang, 2019. "Measurement and Determinants of Multidimensional Poverty: Evidence from Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 459-478, September.
    4. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    5. Antonio Acconcia & Maria Carannante & Michelangelo Misuraca & Germana Scepi, 2020. "Measuring Vulnerability to Poverty with Latent Transition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 1-31, August.
    6. Oula Ben Hassine & Hela Bouras, 2022. "Fuzzy Measures of Monetary and Non-monetary Deprivations in Tunisia," International Journal of Economics and Financial Issues, Econjournals, vol. 12(4), pages 65-71, July.
    7. Leu, Chao-Hsien & Chen, Ke-Mei & Chen, Hsiu-Hui, 2016. "A multidimensional approach to child poverty in Taiwan," Children and Youth Services Review, Elsevier, vol. 66(C), pages 35-44.
    8. Anh Thu Quang Pham & Pundarik Mukhopadhaya, 2022. "Multidimensionl Poverty and The Role of Social Capital in Poverty Alleviation Among Ethnic Groups in Rural Vietnam: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 281-317, January.
    9. Delalić Adela & Somun-Kapetanović Rabija & Resić Emina, 2017. "New multidimensional approaches to poverty measurement in Bosnia and Herzegovina," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 3(1), pages 1-15, June.
    10. Martina Ciani & Francesca Gagliardi & Samuele Riccarelli & Gianni Betti, 2018. "Fuzzy Measures of Multidimensional Poverty in the Mediterranean Area: A Focus on Financial Dimension," Sustainability, MDPI, vol. 11(1), pages 1-13, December.

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