IDEAS home Printed from https://ideas.repec.org/a/ite/iteeco/091201.html
   My bibliography  Save this article

Analysis of Gini for evaluating attrition in Italian survey on income and living condition

Author

Listed:
  • Claudio Ceccarelli

    (Italian National Institute of Statistics - Division for Survey on Living Conditions and Quality Life)

  • Giovanni Maria Giorgi

    (Universit� di Roma La Sapienza - Department of Statistics, Probability and Applied Statistics)

Abstract

The Italian National Institute of Statistics (Istat) has set up a survey on income and living conditions (It-Silc), mainly composed of a cross-sectional and a longitudinal component.This paper aims at proving, by a decomposition of Gini concentration index, also known as Analysis of Gini (ANOGI), whether attrition introduces an element of bias in the analysis of income distribution. Compared to other studies in the literature, it introduces a new perspective by the direct evaluation of the attrition effect on studied variables.

Suggested Citation

  • Claudio Ceccarelli & Giovanni Maria Giorgi, 2009. "Analysis of Gini for evaluating attrition in Italian survey on income and living condition," 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. 63(1-2), pages 49-69, January-J.
    • Handle: RePEc:ite:iteeco:091201
    as

    Download full text from publisher

    File URL: http://www.sieds.it/listing/RePEc/journl/2009LXIII_1_2_RIEDS_49_69_Ceccarelli_Giorgi.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pyatt, Graham, 1976. "On the Interpretation and Disaggregation of Gini Coefficients," Economic Journal, Royal Economic Society, vol. 86(342), pages 243-255, June.
    2. Yitzhaki, Shlomo, 1994. "Economic distance and overlapping of distributions," Journal of Econometrics, Elsevier, vol. 61(1), pages 147-159, March.
    3. Joachim R. Frick & Jan Goebel & Edna Schechtman & Gert G. Wagner & Shlomo Yitzhaki, 2006. "Using Analysis of Gini (ANOGI) for Detecting Whether Two Subsamples Represent the Same Universe," Sociological Methods & Research, , vol. 34(4), pages 427-468, May.
    4. Giovanni Maria Giorgi, 2005. "A fresh look at the topical interest of the Gini concentration ratio," Econometrics 0511005, University Library of Munich, Germany.
    5. Giovanni Maria Giorgi, 2005. "Gini's scientific work: an evergreen," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 299-315.
    6. Lerman, Robert I. & Yitzhaki, Shlomo, 1984. "A note on the calculation and interpretation of the Gini index," Economics Letters, Elsevier, vol. 15(3-4), pages 363-368.
    7. Giovanni Maria Giorgi, 2005. "Bibliographic portrait of the Gini concentration ratio," Econometrics 0511004, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giovanni Giorgi, 2013. "Back to the future: some considerations on Shlomo Yitzhaki and Edna Schechtman’s book “The Gini Methodology: A Primer on a Statistical Methodology”," METRON, Springer;Sapienza Università di Roma, vol. 71(2), pages 189-195, September.
    2. Francesca Giambona & Mariano Porcu & Isabella Sulis, 2023. "Does education protect families' well-being in times of crisis? Measurement issues and empirical findings from IT-SILC data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 299-328, March.

    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. Joachim R. Frick & Jan Goebel & Edna Schechtman & Gert G. Wagner & Shlomo Yitzhaki, 2006. "Using Analysis of Gini (ANOGI) for Detecting Whether Two Subsamples Represent the Same Universe," Sociological Methods & Research, , vol. 34(4), pages 427-468, May.
    2. Branko Milanovic & Shlomo Yitzhak, 2006. "Decomposing World Income Distribution: Does The World Have A Middle Class?," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 2(2), pages 88-110.
    3. Joachim Frick & Jan Goebel, 2008. "Regional Income Stratification in Unified Germany Using a Gini Decomposition Approach," Regional Studies, Taylor & Francis Journals, vol. 42(4), pages 555-577.
    4. Walter Piesch, 2005. "A look at the structure of some extended Ginis," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 263-296.
    5. Chiang, Yen-Sheng, 2015. "Inequality measures perform differently in global and local assessments: An exploratory computational experiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 1-11.
    6. Stéphane Mussard & Françoise Seyte & Michel Terraza, 2006. "La décomposition de l’indicateur de Gini en sous-groupes : une revue de la littérature," Cahiers de recherche 06-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    7. Branko Milanovic & Shlomo Yitzhak, 2006. "Decomposing World Income Distribution : Doesthe World Have A Middle Class?," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 2(2), pages 2-1.
    8. Luis Ayala & Javier Martín‐Román & Juan Vicente, 2020. "The contribution of the spatial dimension to inequality: A counterfactual analysis for OECD countries," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 447-477, June.
    9. Amit Shelef & Edna Schechtman, 2021. "A Gini-based analysis of the differences between men and women in the labor market over time," Working Papers 2102, Ben-Gurion University of the Negev, Department of Economics.
    10. 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.
    11. Nadezhda Gribkova & Ričardas Zitikis, 2019. "Statistical detection and classification of background risks affecting inputs and outputs," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 1-18, April.
    12. repec:csb:stintr:v:12:y:2010:i:3:p:597-614 is not listed on IDEAS
    13. Geoffrey Warner, 2001. "A lorenz curve based index of income stratification," The Review of Black Political Economy, Springer;National Economic Association, vol. 28(3), pages 41-57, December.
    14. Branko Milanovic, 2002. "True World Income Distribution, 1988 and 1993: First Calculation Based on Household Surveys Alone," Economic Journal, Royal Economic Society, vol. 112(476), pages 51-92, January.
    15. Milanovic, Branko, 1997. "A simple way to calculate the Gini coefficient, and some implications," Economics Letters, Elsevier, vol. 56(1), pages 45-49, September.
    16. Paolo Liberati, 2015. "The World Distribution of Income And Its Inequality, 1970–2009," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 248-273, June.
    17. Giovanni M. Giorgi & Alessio Guandalini, 2018. "Decomposing the Bonferroni Inequality Index by Subgroups: Shapley Value and Balance of Inequality," Econometrics, MDPI, vol. 6(2), pages 1-16, April.
    18. Edna Schechtman & Ricardas Zitikis, 2006. "Gini indices as areas and covariances: what is the difference between the two representations?," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 385-397.
    19. Alina Jędrzejczak, 2014. "Income Inequality and Income Stratification in Poland," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(2), pages 269-282, March.
    20. Mauro Mussini, 2010. "On the Link between Silber and Dagum Decomposition of the Gini Index," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 11(3), pages 597-614, December.
    21. Shlomo Yitzhaki, 2010. "Is There Room For Polarization?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 7-22, March.

    More about this item

    Keywords

    calibration estimator; Gini index; surveys; income and living conditions; cross-sectional; longitudinal analysis; income distribution; concentration index;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

    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:091201. 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.