Abstract
In this paper, we propose an alternative methodology to capture the impact of the inequality factors on poverty by decomposing the traditional Foster-Greer-Thorbecke index. We focus on the incidence and the intensity of poverty and on the inequality of the distribution of the poor. In particular, our proposal allows to evaluate the effect of each factor on the inequality part, which is further analyzed into the within-, between-, and the overlapping- components through Dagum’s Gini index decomposition. We also introduce a subgroup decomposition able to detect the contribution of each subgroup to the poverty index. A case study on Italian income distribution highlights the usefulness of our proposal evaluating the effects of inequality factors as gender, education, and the area of residence on the Foster-Greer-Thorbecke index.
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The data that support the findings of this study are publicly available in the Bank of Italy repository at the following link https://www.bancaditalia.it/statistiche
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Acknowledgements
We would like to thank for helpful comments and suggestions Martina Celidoni, Marisa Civardi, Enrica Chiappero Martinetti as well as Michele Zenga and the participants at the International Conference on Distributions and Inequality Measures in Economics 2020. We would also like to express our sincere gratitude to the anonymous reviewers and the editor Martyna Kobus for many helpful comments. All remaining errors are our responsibility. Michele Costa acknowledges financial support from the PRIN Project 2017 - Prot. 2017TA7TYC.
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Pignataro, G., Costa, M. The Foster-Greer-Thorbecke index and the inequality factors: an analysis through the Gini index decomposition. J Econ Inequal 21, 483–497 (2023). https://doi.org/10.1007/s10888-022-09557-3
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DOI: https://doi.org/10.1007/s10888-022-09557-3