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

  • Claudio Ceccarelli

    ()

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

  • Giovanni Maria Giorgi

    ()

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

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.

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File URL: http://www.sieds.it/listing/RePEc/journl/2009LXIII_1_2_RIEDS_49_69_Ceccarelli_Giorgi.pdf
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Article provided by SIEDS Societa' Italiana di Economia Demografia e Statistica in its journal RIEDS - Rivista Italiana di Economia Demografia e Statistica.

Volume (Year): LXIII (2009)
Issue (Month): 1-2 (January-June)
Pages: 49-69

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Handle: RePEc:ite:iteeco:091201
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  1. 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.
  2. Pyatt, Graham, 1976. "On the Interpretation and Disaggregation of Gini Coefficients," Economic Journal, Royal Economic Society, vol. 86(342), pages 243-55, June.
  3. Giovanni Maria Giorgi, 2005. "Bibliographic portrait of the Gini concentration ratio," Econometrics 0511004, EconWPA.
  4. Yitzhaki, Shlomo, 1994. "Economic distance and overlapping of distributions," Journal of Econometrics, Elsevier, vol. 61(1), pages 147-159, March.
  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. 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.
  7. Giovanni Maria Giorgi, 2005. "A fresh look at the topical interest of the Gini concentration ratio," Econometrics 0511005, EconWPA.
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