A Bayesian Measure of Poverty in the Developing World
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DOI: 10.1111/roiw.12295
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- Zhou Xun & Michel Lubrano, 2018. "A Bayesian Measure of Poverty in the Developing World," Post-Print hal-01976680, HAL.
References listed on IDEAS
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Citations
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Cited by:
- Michel Lubrano & Zhou Xun, 2021.
"The Bayesian approach to poverty measurement,"
AMSE Working Papers
2133, Aix-Marseille School of Economics, France.
- Michel Lubrano & Zhou Xun, 2021. "The Bayesian approach to poverty measurement," Working Papers halshs-03234072, HAL.
- Michel Lubrano & Zhou Xun, 2023. "The Bayesian approach to poverty measurement," Post-Print halshs-04135764, HAL.
- Michel Lubrano & Zhou Xun, 2023. "The Bayesian approach to poverty measurement," Post-Print hal-04347292, HAL.
- Sara Mota Cardoso & Aurora A. C. Teixeira, 2020. "The Focus on Poverty in the Most Influential Journals in Economics: A Bibliometric Analysis of the “Blue Ribbon” Journals," Poverty & Public Policy, John Wiley & Sons, vol. 12(1), pages 10-42, March.
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