IDEAS home Printed from https://ideas.repec.org/a/spr/alstar/v107y2023i1d10.1007_s10182-021-00397-6.html
   My bibliography  Save this article

Decompositions by sources and by subpopulations of the Pietra index: two applications to professional football teams in Italy

Author

Listed:
  • Francesco Porro

    (Università degli Studi di Sassari)

  • Mariangela Zenga

    (Università degli Studi di Milano-Bicocca)

Abstract

In this paper two innovative procedures for the decomposition of the Pietra index are proposed. The first one allows the decomposition by sources, while the second one provides the decomposition by subpopulations. As special case of the latter procedure, the “classical” decomposition in two components (within and between) can be easily obtained. A remarkable feature of both the proposed procedures is that they permit the assessment of the contribution to the Pietra index at the smallest possible level: each source for the first one and each subpopulation for the second one. To highlight the usefulness of these procedures, two applications are provided regarding Italian professional football (soccer) teams.

Suggested Citation

  • Francesco Porro & Mariangela Zenga, 2023. "Decompositions by sources and by subpopulations of the Pietra index: two applications to professional football teams in Italy," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 73-100, March.
  • Handle: RePEc:spr:alstar:v:107:y:2023:i:1:d:10.1007_s10182-021-00397-6
    DOI: 10.1007/s10182-021-00397-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10182-021-00397-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10182-021-00397-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Youri Davydov & Ricardas Zitikis, 2005. "An index of monotonicity and its estimation: a step beyond econometric applications of the Gini index," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 351-372.
    2. Michele Zenga, 2016. "On the decomposition by subpopulations of the point and synthetic Zenga (2007) inequality indexes," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 375-405, December.
    3. Eliazar, Iddo I. & Sokolov, Igor M., 2010. "Measuring statistical heterogeneity: The Pietra index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 117-125.
    4. Shorrocks, Anthony F, 1984. "Inequality Decomposition by Population Subgroups," Econometrica, Econometric Society, vol. 52(6), pages 1369-1385, November.
    5. Babak Zafari & Tahir Ekin, 2019. "Topic modelling for medical prescription fraud and abuse detection," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 68(3), pages 751-769, April.
    6. Khosravi Tanak, A. & Mohtashami Borzadaran, G.R. & Ahmadi, J., 2015. "Entropy maximization under the constraints on the generalized Gini index and its application in modeling income distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 657-666.
    7. Kennedy, Bruce P. & Kawachi, Ichiro & Prothrow-Stith, Deborah & Lochner, Kimberly & Gupta, Vanita, 1998. "Social capital, income inequality, and firearm violent crime," Social Science & Medicine, Elsevier, vol. 47(1), pages 7-17, July.
    8. Shorrocks, A F, 1982. "Inequality Decomposition by Factor Components," Econometrica, Econometric Society, vol. 50(1), pages 193-211, January.
    9. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    10. Sarabia, José María & Jordá, Vanesa, 2014. "Explicit expressions of the Pietra index for the generalized function for the size distribution of income," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 582-595.
    11. Ana Manero, 2017. "The limitations of negative incomes in the Gini coefficient decomposition by source," Applied Economics Letters, Taylor & Francis Journals, vol. 24(14), pages 977-981, August.
    12. Benito Frosini, 2012. "Approximation and decomposition of Gini, Pietra–Ricci and Theil inequality measures," Empirical Economics, Springer, vol. 43(1), pages 175-197, August.
    13. Xander Koolman & Eddy van Doorslaer, 2004. "On the interpretation of a concentration index of inequality," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 649-656, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesca Battisti & Francesco Porro, 2023. "A multi-decomposition of Zenga-84 inequality index: an application to the disparity in CO $$_2$$ 2 emissions in European countries," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 957-981, September.
    2. 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.
    3. Stéphane Mussard & Michel Terraza, 2009. "Décompositions des mesures d'inégalité : le cas des coefficients de Gini et d'entropie," Recherches économiques de Louvain, De Boeck Université, vol. 75(2), pages 151-181.
    4. Stéphane Mussard, 2005. "On Decomposition of the Gini Index of Equality," Cahiers de recherche 05-09, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    5. C. Chameni Nembua, 2008. "The 'natural' bidimensional decomposition of inequality indices: evaluating factor contributions to households welfare inequality in Cameroon, 1996-2001," Applied Economics Letters, Taylor & Francis Journals, vol. 15(12), pages 963-970.
    6. Muszyńska Joanna & Oczki Jarosław & Wędrowska Ewa, 2018. "Income Inequality in Poland and the United Kingdom. Decomposition of the Theil Index," Folia Oeconomica Stetinensia, Sciendo, vol. 18(1), pages 108-122, June.
    7. 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.
    8. Francesco Porro & Michele Zenga, 2020. "Decomposition by subpopulations of the Zenga-84 inequality curve and the related index $$\zeta $$ζ: an application to 2014 Bank of Italy survey," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 187-207, March.
    9. Stéphane Mussard & Virginie Terraza, 2004. "Méthodes de décomposition de la volatilité d'un portefeuille. Une nouvelle approche d'estimation des risques par l'indice de Gini," Revue d'économie politique, Dalloz, vol. 114(4), pages 557-571.
    10. I. Josa & A. Aguado, 2020. "Measuring Unidimensional Inequality: Practical Framework for the Choice of an Appropriate Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(2), pages 541-570, June.
    11. Neves Costa, Rita & Pérez-Duarte, Sébastien, 2019. "Not all inequality measures were created equal - The measurement of wealth inequality, its decompositions, and an application to European household wealth," Statistics Paper Series 31, European Central Bank.
    12. Michele Giammatteo, 2007. "The bidimensional decomposition of inequality: A nested Theil approach," LIS Working papers 466, LIS Cross-National Data Center in Luxembourg.
    13. Alonso-Villar, Olga & del Río, Coral, 2010. "Local versus overall segregation measures," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 30-38, July.
    14. Teixidó Figueras, Jordi & Duro Moreno, Juan Antonio, 2012. "Ecological Footprint Inequality: A methodological review and some results," Working Papers 2072/203168, Universitat Rovira i Virgili, Department of Economics.
    15. Xing, Li & Fan, Shenggen & Luo, Xiaopeng & Zhang, Xiaobo, 2006. "Village Inequality in Western China," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25390, International Association of Agricultural Economists.
    16. Anton I. Votinov & Samvel S. Lazaryan & Vyacheslav N. Ovchinnikov, 2019. "Regression-Based Decomposition of Income Inequality Factors in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 5, pages 74-89, October.
    17. Hu'e Sullivan & Hurlin Christophe & P'erignon Christophe & Saurin S'ebastien, 2022. "Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring," Papers 2212.05866, arXiv.org, revised Jun 2023.
    18. Ana Suárez Álvarez & Ana Jesús López Menéndez, 2018. "Assessing Changes Over Time in Inequality of Opportunity: The Case of Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 989-1014, October.
    19. Bo Qin & Dongmei Zeng & Angang Gao, 2022. "Convergence effect of the Belt and Road Initiative on income disparity: evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-16, December.
    20. repec:wsr:wpaper:y:2010:i:062 is not listed on IDEAS
    21. Arthur Charpentier & Stéphane Mussard, 2011. "Income inequality games," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 529-554, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:alstar:v:107:y:2023:i:1:d:10.1007_s10182-021-00397-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.