Estimation of variance of Gini Goefficient for income dostribution

dc.contributor.author	Φράγκος, Χρήστος Κ. (1949-)	el
dc.contributor.author	Σπιθουράκης, Παναγιώτης	el
dc.date.accessioned	2014-12-14T14:32:12Z
dc.date.available	2014-12-14T14:32:12Z
dc.date.issued	2014-12-14
dc.identifier.uri	http://hdl.handle.net/11400/2823
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Economics
dc.subject	Gini goefficient
dc.subject	Income distribution
dc.subject	Income distribution greece
dc.subject	Statistical measurment
dc.title	Estimation of variance of Gini Goefficient for income dostribution	en
heal.type	journalArticle
heal.classification	Economics
heal.classification	Οικονομικά
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85040850
heal.classificationURI	N/A-Οικονομικά
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85040850
heal.identifier.secondary	ISSN 1392-1142
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Ίδρυμα Αθήνας. Σχολή διοίκησης και οικονομίας. Τμήμα διοίκησης επιχειρήσεων	el
heal.publicationDate	2003-07-30
heal.abstract	Gini coefficient is a Statistical measure for Income Distribution. This paper is an exposition of data concerning the Gini Coefficients for the Greek Income Tax Service for the years 1960 to 2000. Using von Mises Expansions we find second-order properties of Gini Coefficient. We estimate its variance and we find confidence intervals for it. An Exponential Smoothing Time Series Model is constructed. The trend of the Greek Gini coefficient based on the annual declaration of income is calculated. Using the Jackknife Statistical method of setting robust nonparametric confidence intervals, we estimate the Variance of Gini Coefficient and we find the 95% confidence limits for the true Gini Coefficient. The conclusion is two-fold: a) We found that the trend of Greek Gini Coefficient is upwards; b) We found that the Jackknife method for variance estimation works very satisfactorily in the case of Gini Coefficient and it produces trustworthy Confidence	en
heal.publisher	Mykolas romeris univercity	en
heal.journalName	Mykolas romeris univercity	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true
heal.dateCreated	2003-05-23