A Note on Computing the Gini Inequality Measure with Weighted Data

dc.contributor.author	Creedy, John
dc.date.accessioned	2015-03-19T01:29:34Z
dc.date.accessioned	2022-07-07T02:24:00Z
dc.date.available	2015-03-19T01:29:34Z
dc.date.available	2022-07-07T02:24:00Z
dc.date.copyright	2015
dc.date.issued	2015
dc.identifier.uri	https://ir.wgtn.ac.nz/handle/123456789/19268
dc.description.abstract	This note sets out some basic results regarding calculation of the Gini measure and its standard error in the context of cross-sectional micro-datasets where sample weights are provided for aggregation from sample to population values.	en_NZ
dc.format	pdf	en_NZ
dc.language.iso	en_NZ
dc.publisher	Te Herenga Waka—Victoria University of Wellington	en_NZ
dc.relation.ispartofseries	Working Papers in Public Finance ; 03/2015	en_NZ
dc.subject	Gini inequality measure	en_NZ
dc.subject	Value judgements	en_NZ
dc.subject	Inequality measures	en_NZ
dc.title	A Note on Computing the Gini Inequality Measure with Weighted Data	en_NZ
dc.type	Text	en_NZ
vuwschema.contributor.unit	School of Accounting and Commercial Law	en_NZ
vuwschema.subject.anzsrcfor	140302 Econometric and Statistical Methods	en_NZ
vuwschema.type.vuw	Working or Occasional Paper	en_NZ
vuwschema.subject.anzsrcforV2	380202 Econometric and statistical methods	en_NZ
dc.rights.rightsholder	www.victoria.ac.nz/sacl/about/cpf	en_NZ