Poverty: fuzzy measurement and crisp ordering
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DOI: 10.1007/s00355-015-0873-8
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References listed on IDEAS
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Citations
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Cited by:
- Decerf,Benoit Marie A & Ferrando,Mery & Quinn,Natalie N., 2021.
"Global Income Poverty Measurement with Preference Heterogeneity : Theory and Application,"
Policy Research Working Paper Series
9844, The World Bank.
- Decerf, Benoit & Ferrando, Mery & Quinn, Natalie, 2022. "Global Income Poverty Measurement with Preference Heterogeneity : Theory and Application," Other publications TiSEM 9771d970-cb91-40d9-afb0-7, Tilburg University, School of Economics and Management.
- Decerf, Benoit & Ferrando, Mery & Quinn, Natalie, 2022. "Global Income Poverty Measurement with Preference Heterogeneity : Theory and Application," Discussion Paper 2022-007, Tilburg University, Center for Economic Research.
- Zheng, Buhong & Zheng, Charles, 2015. "Fuzzy ranking of human development: A proposal," Mathematical Social Sciences, Elsevier, vol. 78(C), pages 39-47.
- Bruno Cheli & Achille Lemmi & Nicoletta Pannuzi & Andrea Regoli, 2019. "From the TFR to the IFR approach for the multidimensional analysis of poverty and living conditions," Discussion Papers 2019/252, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
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Keywords
I32;JEL classification:
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
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