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The Gini multi-decomposition and the role of Gini's transvariation: application to partial trade liberalization in the Philippines

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  • St鰨ane Mussard
  • Luc Savard

Abstract

This article proposes a unified technique of the Gini decomposition. The Gini multi-decomposition is a combination of the income source decomposition and the subgroup decomposition. This technique is applied on reference situation and simulated scenarios for partial trade liberalisation in Philippines, and is extended to different orderings to capture a wide range of between-group indicators. We simulate variations in income source distributions for seven educational groups in the Philippines, in order to measure the inequality variations between a reference situation and a post simulation one with positive externalities due to public expenditures on the private sector productivity.

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  • St鰨ane Mussard & Luc Savard, 2012. "The Gini multi-decomposition and the role of Gini's transvariation: application to partial trade liberalization in the Philippines," Applied Economics, Taylor & Francis Journals, vol. 44(10), pages 1235-1249, April.
    • Handle: RePEc:taf:applec:44:y:2012:i:10:p:1235-1249
    DOI: 10.1080/00036846.2010.539540
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    Cited by:

    1. Mussard, Stéphane & Pi Alperin, Maria Noel, 2011. "Poverty growth in Scandinavian countries: A Sen multi-decomposition," Economic Modelling, Elsevier, vol. 28(6), pages 2842-2853.
    2. Nickolay T. Trendafilov & Tsegay Gebrehiwot Gebru, 2016. "Recipes for sparse LDA of horizontal data," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 207-221, August.
    3. Antonio Abatemarco, 2010. "Measuring inequality of opportunity through between-group inequality components," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 475-490, December.
    4. Maria Grazia Pittau & Roberto Zelli, 2017. "At the roots of Gini’s transvariation: extracts from “Il concetto di transvariazione e le sue prime applicazioni”," METRON, Springer;Sapienza Università di Roma, vol. 75(2), pages 127-140, August.
    5. Rodrigue Tido Takeng & Arnold Cedrick Soh Voutsa & Kévin Fourrey, 2023. "Decompositions of inequality measures from the perspective of the Shapley–Owen value," Theory and Decision, Springer, vol. 94(2), pages 299-331, February.
    6. Mussini, Mauro, 2013. "On decomposing inequality and poverty changes over time: A multi-dimensional decomposition," Economic Modelling, Elsevier, vol. 33(C), pages 8-18.
    7. Frédéric Chantreuil & Sébastien Courtin & Kevin Fourrey & Isabelle Lebon, 2019. "A note on the decomposability of inequality measures," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(2), pages 283-298, August.
    8. D. Boccanfuso & L. Savard, 2012. "A Segmented Labour Supply Model Estimation for the Construction of a CGE Microsimulation Model: An Application to the Philippines," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 6(2), pages 211-234, May.
    9. Ogwang Tomson, 2016. "The Marginal Effects in Subgroup Decomposition of the Gini Index," Journal of Official Statistics, Sciendo, vol. 32(3), pages 733-745, September.
    10. Jurkatis, Simon & Strehl, Wolfgang, 2014. "Gini decompositions and Gini elasticities: On measuring the importance of income sources and population subgroups for income inequality," Discussion Papers 2014/22, Free University Berlin, School of Business & Economics.

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