[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/ite/iteeco/220302.html
   My bibliography  Save this article

The revenues of local governments in the statistical register for public administrations: inequality decomposition by sources

Author

Listed:
  • Alessio Guandalini
  • Domenico Passante
  • Roberta Varriale
Abstract
No abstract is available for this item.

Suggested Citation

  • Alessio Guandalini & Domenico Passante & Roberta Varriale, 2022. "The revenues of local governments in the statistical register for public administrations: inequality decomposition by sources," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(3), pages 17-28, July-Sept.
  • Handle: RePEc:ite:iteeco:220302
    as

    Download full text from publisher

    File URL: http://www.sieds.it/wp-content/uploads/2023/03/02_Guandalini_rev27gen.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giovanni Maria Giorgi & Chiara Gigliarano, 2017. "The Gini Concentration Index: A Review Of The Inference Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 31(4), pages 1130-1148, September.
    2. Gary S. Fields, 1979. "Income Inequality In Urban Colombia: A Decomposition Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 25(3), pages 327-341, September.
    3. Fields, Gary S, 1979. "Dec.mposing LDC Inequality," Oxford Economic Papers, Oxford University Press, vol. 31(3), pages 437-459, November.
    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. Alessio Guandalini, 2022. "Things you should know about the Gini index," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(4), pages 4-12, October-D.
    2. Cheikh Tidiane Ndiaye & Armand Akomavo Dagoudo & Babacar Mbengue, 2021. "Growth and Income Distribution Inequalities in Sub-Saharan Africa: A Dynamic Model Approach [Croissance et inégalités de distribution des revenus en Afrique subsaharienne : une approche par les mod," Working Papers hal-03202484, HAL.
    3. Ziqing Dong & Yves Tillé & Giovanni M. Giorgi & Alessio Guandalini, 2021. "Linearization and variance estimation of the Bonferroni inequality index," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1008-1029, July.
    4. Silvia De Nicol`o & Maria Rosaria Ferrante & Silvia Pacei, 2021. "Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples," Papers 2107.08950, arXiv.org, revised May 2023.
    5. Cecilia García-Peñalosa & Elsa Orgiazzi, 2013. "Factor Components of Inequality: A Cross-Country Study," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 689-727, December.
    6. Fabio Clementi & Mauro Gallegati & Lisa Gianmoena & Simone Landini & Joseph E. Stiglitz, 2019. "Mis-measurement of inequality: a critical reflection and new insights," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 891-921, December.
    7. Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
    8. Antonczyk, Dirk & Fitzenberger, Bernd & Sommerfeld, Katrin, 2010. "Rising wage inequality, the decline of collective bargaining, and the gender wage gap," Labour Economics, Elsevier, vol. 17(5), pages 835-847, October.
    9. Adams, Richard H, Jr & Alderman, Harold, 1992. "Sources of Income Inequality in Rural Pakistan: A Decomposition Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(4), pages 591-608, November.
    10. Pier Luigi Conti & Alberto Iorio & Alessio Guandalini & Daniela Marella & Paola Vicard & Vincenzina Vitale, 2020. "On the estimation of the Lorenz curve under complex sampling designs," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 1-24, March.
    11. Leonardo Bonilla Mejía, 2011. "Diferencias regionales en la distribución del ingreso en Colombia," Revista Sociedad y Economía, Universidad del Valle, CIDSE, December.
    12. Giovanni Maria Giorgi, 2019. "The Gini concentration ratio: Back to the future," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 73(2), pages 5-14, April-Jun.
    13. Mussini, Mauro, 2020. "Inequality and convergence in energy intensity in the European Union," Applied Energy, Elsevier, vol. 261(C).
    14. Ziqing Dong & Yves Tille & Giovanni Maria Giorgi & Alessio Guandalini, 2024. "Generalised Income Inequality Index," International Statistical Review, International Statistical Institute, vol. 92(1), pages 87-105, April.
    15. Lima, Pedro G. & Teixeira, Pedro N. & Silva, Sandra T., 2021. "Major Streams in the Economics of Inequality: A Qualitative and Quantitative Analysis of the Literature since 1950s," IZA Discussion Papers 14777, Institute of Labor Economics (IZA).
    16. Hammill, Matthew, 2007. "Growth, poverty and inequality in Central America," Estudios y Perspectivas – Sede Subregional de la CEPAL en México 5025, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    17. Yang Liu & Joseph L. Gastwirth, 2020. "On the capacity of the Gini index to represent income distributions," METRON, Springer;Sapienza Università di Roma, vol. 78(1), pages 61-69, April.
    18. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & Hussain, Saiful Izzuan, 2021. "Measuring income inequality: A robust semi-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    19. Takahiro Akita, 2024. "The Roles of Location and Education in Income Inequality: An Analytical Framework," Working Papers EMS_2024_06, Research Institute, International University of Japan.
    20. Ioannis Cholezas & Panos Tsakloglou, 2009. "Earnings Inequality in Europe: Structure and Patterns of Intertemporal Changes," Chapters, in: Peter Dolton & Rita Asplund & Erling Barth (ed.), Education and Inequality Across Europe, chapter 6, pages 122-146, Edward Elgar Publishing.

    More about this item

    Statistics

    Access and download statistics

    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:ite:iteeco:220302. 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: Claudio Ceccarelli (email available below). General contact details of provider: https://edirc.repec.org/data/siedsea.html .

    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.