Analysis of Gini for evaluating attrition in Italian survey on income and living condition
Claudio Ceccarelli () and
Giovanni Giorgi ()
Additional contact information
Claudio Ceccarelli: Italian National Institute of Statistics - Division for Survey on Living Conditions and Quality Life
RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, 2009, vol. 63, issue 1-2, 49-69
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.
Keywords: calibration estimator; Gini index; surveys; income and living conditions; cross-sectional; longitudinal analysis; income distribution; concentration index (search for similar items in EconPapers)
JEL-codes: C13 C15 C18 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
http://www.sieds.it/listing/RePEc/journl/2009LXIII ... eccarelli_Giorgi.pdf (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ite:iteeco:091201
Ordering information: This journal article can be ordered from
Access Statistics for this article
More articles in RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies from SIEDS Societa' Italiana di Economia Demografia e Statistica Contact information at EDIRC.
Bibliographic data for series maintained by Claudio Ceccarelli ().