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dc.contributor.authorYe, Yuanen
dc.contributor.authorOluyede, Broderick O.en
dc.contributor.authorPararai, Mavisen
dc.date.accessioned2012-03-22-
dc.date.accessioned2012-05-22T16:45:48Z-
dc.date.available2012-05-22T16:45:48Z-
dc.date.issued2012-
dc.identifier.citation|aJournal of Statistical and Econometric Methods|c2241-0376|v1|h1|nInternational Scientific Press|y2012|p1-12en
dc.identifier.urihttp://hdl.handle.net/10419/58016-
dc.description.abstractThis paper applies the class of weighted generalized beta distribution of the second kind (WGB2) as descriptive models for size distribution of income. The properties of WGB2 including mean, variance, coefficient of variation(CV), coefficient of skewness(CS), coefficient of kurtosis(CK) are presented. Other properties including top-sensitive index, bottom-sensitive index, mean logarithmic deviation(MLD) index and Theil index obtained from generalized entropy(GE) are applied in this paper. WGB2 proved to be in the generalized beta-F family of distributions, and maximum likelihood estimation(MLE) is used to obtain the parameter estimates. WGB2 is fitted to U.S. family income (2001-2009) data with different values of the parameters. The empirical results show the length-biased distribution provides the best relative fit.en
dc.language.isoengen
dc.publisher|aInternational Scientific Pressen
dc.subject.ddc330en
dc.subject.keywordWGB2en
dc.subject.keywordincome distributionen
dc.subject.keywordentropyen
dc.subject.keywordbeta-F familyen
dc.subject.keywordMLEen
dc.titleEstimation of parameters in weighted generalized beta distributions of the second kind-
dc.typeArticleen
dc.identifier.ppn689050909en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
econstor.citation.journaltitleJournal of Statistical and Econometric Methodsen
econstor.citation.issn2241-0376en
econstor.citation.volume1en
econstor.citation.issue1en
econstor.citation.publisherInternational Scientific Pressen
econstor.citation.year2012en
econstor.citation.startpage1en
econstor.citation.endpage12en

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