Measuring inequality without the Pigou-Dalton condition
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Other versions of this item:
- Alain Chateauneuf & Patrick Moyes, 2002. "Measuring inequality without the Pigou-Dalton condition," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00156475, HAL.
- Alain Chateauneuf & Patrick Moyes, 2005. "Measuring Inequality Without the Pigou-Dalton Condition," WIDER Working Paper Series RP2005-02, World Institute for Development Economic Research (UNU-WIDER).
- Alain Chateauneuf & Patrick Moyes, 2002. "Measuring inequality without the Pigou-Dalton condition," Post-Print hal-00156475, HAL.
- Alain Chateauneuf & Patrick Moyes, 2005. "Measuring inequality without the Pigou-Dalton condition," Post-Print hal-00160178, HAL.
References listed on IDEAS
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Citations
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Cited by:
- Casilda Lasso de la Vega & Ana Urrutia & Amaia Sarachu, 2010.
"Characterizing multidimensional inequality measures which fulfil the Pigou–Dalton bundle principle,"
Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 35(2), pages 319-329, July.
- Ma Casilda Lasso de la Vega & Ana Urrutia & Amaia de Sarachu, 2008. "Characterizing multidimensional inequality measures which fulfil the Pigou-Dalton bundle principle," Working Papers 99, ECINEQ, Society for the Study of Economic Inequality.
- Chen, Violet Xinying & Hooker, J.N., 2022. "Combining leximax fairness and efficiency in a mathematical programming model," European Journal of Operational Research, Elsevier, vol. 299(1), pages 235-248.
- Fabio Maccheroni & Pietro Muliere & Claudio Zoli, 2005. "Inverse stochastic orders and generalized Gini functionals," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 529-559.
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