Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/58016
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dc.contributor.authorYe, Yuanen_US
dc.contributor.authorOluyede, Broderick O.en_US
dc.contributor.authorPararai, Mavisen_US
dc.date.accessioned2012-03-22en_US
dc.date.accessioned2012-05-22T16:45:48Z-
dc.date.available2012-05-22T16:45:48Z-
dc.date.issued2012en_US
dc.identifier.citation|aJournal of Statistical and Econometric Methods |c2241-0376 |nInternational Scientific Press |v1 |y2012 |h1 |p1-12en_US
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_US
dc.language.isoengen_US
dc.publisher|aInternational Scientific Pressen_US
dc.subject.ddc330en_US
dc.subject.keywordWGB2en_US
dc.subject.keywordincome distributionen_US
dc.subject.keywordentropyen_US
dc.subject.keywordbeta-F familyen_US
dc.subject.keywordMLEen_US
dc.titleEstimation of parameters in weighted generalized beta distributions of the second kinden_US
dc.typeArticleen_US
dc.identifier.ppn689050909en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US

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