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Computing decomposable multigroup indexes of segregation

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dc.affiliation.dptoUC3M. Departamento de Economíaes
dc.contributor.authorGuinea-Martin, Daniel
dc.contributor.authorMora, Ricardo
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Economíaes
dc.date.accessioned2022-02-15T13:30:22Z
dc.date.available2021-01-27T17:50:14Z
dc.date.issued2021-01-27
dc.description.abstractThere are eight multigroup segregation indices that are decompos- able into a between and a within term. They are two versions of (a) the mutual information, (b) the symmetric Atkinson, (c) the relative diversity, and (d) the Theil's H index. In this article we present the Stata command dseg for obtaining all of them. It contributes to the stock of segregation commands in Stata by (1) implementing in a single call the decomposition; (2) providing the weights and local indices employed in the computation of the within term; (3) facilitating the deployment of the decomposability properties of the eight indices in complex scenarios that demand tailor-made solutions; and (4) leveraging sample data with bootstrapping and approximate randomization tests. We analyze 2017 census data of public schools in the United States to illustrate the use of dseg. The subject topic is school racial segregation.en
dc.identifier.issn2340-5031
dc.identifier.urihttps://hdl.handle.net/10016/31803
dc.identifier.uxxiDT/0000001868
dc.language.isoeng
dc.relation.ispartofseriesWorking paper. Economicsen
dc.relation.ispartofseries21-03
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherAtkinsonen
dc.subject.otherDecomposabilityen
dc.subject.otherMultigroupen
dc.subject.otherMutual Informationen
dc.subject.otherRaceen
dc.subject.otherRelative Diversityen
dc.subject.otherTheil'S Hen
dc.subject.otherSchoolsen
dc.subject.otherSegregationen
dc.titleComputing decomposable multigroup indexes of segregationen
dc.typeworking paper*
dc.type.hasVersionAO*
dspace.entity.typePublication
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