Ontology type: schema:ScholarlyArticle
2003-08
AUTHORS ABSTRACTThe extended Gini is a family of measures of variability which is mainly used in the areas of finance and income distribution. Each index in the family is defined by specifying one parameter, which reflects the social evaluation of the marginal utility of income. The higher the parameter, the more weight is attached to the lower portion of the cumulative distribution, reflecting higher concern for poverty. In this paper we list and investigate the properties of the equivalents of the correlation coefficient that are associated with the extended Gini family. In addition, we show that the extended Gini of a linear combination of random variables can be decomposed, in a way which is equivalent to the decomposition of the variance, with, in addition, terms that reflect additional properties of the random variables. The implication of these properties is that any decomposition that is performed with the coefficient of variation can be replicated by an infinite number of indices that are based on the Extended Gini coefficient. More... »
PAGES129-146
http://scigraph.springernature.com/pub.10.1023/a:1026152130903
DOIhttp://dx.doi.org/10.1023/a:1026152130903
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1013004715
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1402",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Applied Economics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Economics",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Ben-Gurion University of the Negev",
"id": "https://www.grid.ac/institutes/grid.7489.2",
"name": [
"Department of Industrial Engineering and Management, Ben Gurion University of the Negev, Beer Sheva, Israel"
],
"type": "Organization"
},
"familyName": "Schechtman",
"givenName": "E.",
"id": "sg:person.0747636116.14",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747636116.14"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Hebrew University of Jerusalem",
"id": "https://www.grid.ac/institutes/grid.9619.7",
"name": [
"Department of Economics, The Hebrew University of Jerusalem, Jerusalem, Israel"
],
"type": "Organization"
},
"familyName": "Yitzhaki",
"givenName": "S.",
"id": "sg:person.011534511667.11",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011534511667.11"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/0022-0531(70)90039-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001084557"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1467-6419.00172",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004249633"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s003550200154",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017489265",
"https://doi.org/10.1007/s003550200154"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1008348104882",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020170706",
"https://doi.org/10.1023/a:1008348104882"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1014594617251",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028535254",
"https://doi.org/10.1023/a:1014594617251"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-0531(83)90053-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028954048"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/003465397750160158",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029908591"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-94-011-4413-1_13",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031948743",
"https://doi.org/10.1007/978-94-011-4413-1_13"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-94-011-4413-1_13",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031948743",
"https://doi.org/10.1007/978-94-011-4413-1_13"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-0531(80)90065-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037014175"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0165-1765(99)00033-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037236000"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-0531(88)90010-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042739720"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01621459.1958.10501481",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058299447"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/03610928708829359",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058333821"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/003355398555694",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063349097"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1214/aoms/1177730150",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064401973"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1214/aos/1176345528",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064407824"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1880532",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069623260"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1911158",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069639410"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2554117",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069990171"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2648789",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070042837"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1049-2585(04)12007-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084808156"
],
"type": "CreativeWork"
}
],
"datePublished": "2003-08",
"datePublishedReg": "2003-08-01",
"description": "The extended Gini is a family of measures of variability which is mainly used in the areas of finance and income distribution. Each index in the family is defined by specifying one parameter, which reflects the social evaluation of the marginal utility of income. The higher the parameter, the more weight is attached to the lower portion of the cumulative distribution, reflecting higher concern for poverty. In this paper we list and investigate the properties of the equivalents of the correlation coefficient that are associated with the extended Gini family. In addition, we show that the extended Gini of a linear combination of random variables can be decomposed, in a way which is equivalent to the decomposition of the variance, with, in addition, terms that reflect additional properties of the random variables. The implication of these properties is that any decomposition that is performed with the coefficient of variation can be replicated by an infinite number of indices that are based on the Extended Gini coefficient.",
"genre": "research_article",
"id": "sg:pub.10.1023/a:1026152130903",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1050672",
"issn": [
"1569-1721",
"1573-8701"
],
"name": "The Journal of Economic Inequality",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "1"
}
],
"name": "A Family of Correlation Coefficients Based on the Extended Gini Index",
"pagination": "129-146",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"3df4265ed6bce71d36d24d9e747b967817647771340c108152de3c06f67b1302"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1023/a:1026152130903"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1013004715"
]
}
],
"sameAs": [
"https://doi.org/10.1023/a:1026152130903",
"https://app.dimensions.ai/details/publication/pub.1013004715"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T13:13",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8659_00000504.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1023%2FA%3A1026152130903"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1023/a:1026152130903'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1026152130903'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1026152130903'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1026152130903'
This table displays all metadata directly associated to this object as RDF triples.
138 TRIPLES
21 PREDICATES
48 URIs
19 LITERALS
7 BLANK NODES