{"id":"https://openalex.org/W3134721341","doi":"https://doi.org/10.1007/s00180-021-01082-7","title":"A new computational approach for estimation of the Gini index based on grouped data","display_name":"A new computational approach for estimation of the Gini index based on grouped data","publication_year":2021,"publication_date":"2021-02-25","ids":{"openalex":"https://openalex.org/W3134721341","doi":"https://doi.org/10.1007/s00180-021-01082-7","mag":"3134721341"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-021-01082-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-021-01082-7","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081969039","display_name":"Tatjana Miljkovic","orcid":"https://orcid.org/0000-0001-5436-9733"},"institutions":[{"id":"https://openalex.org/I83328450","display_name":"Miami University","ror":"https://ror.org/05nbqxr67","country_code":"US","type":"education","lineage":["https://openalex.org/I83328450"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tatjana Miljkovic","raw_affiliation_strings":["Miami University, 100 Bishop Circle, Oxford, OH, 45056, USA"],"raw_orcid":"https://orcid.org/0000-0001-5436-9733","affiliations":[{"raw_affiliation_string":"Miami University, 100 Bishop Circle, Oxford, OH, 45056, USA","institution_ids":["https://openalex.org/I83328450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060346883","display_name":"Ying\u2010Ju Chen","orcid":"https://orcid.org/0000-0002-6444-6859"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying-Ju Chen","raw_affiliation_strings":["University of Dayton, 300 College Park, Dayton, OH, 45469, USA"],"raw_orcid":"https://orcid.org/0000-0002-6444-6859","affiliations":[{"raw_affiliation_string":"University of Dayton, 300 College Park, Dayton, OH, 45469, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081969039"],"corresponding_institution_ids":["https://openalex.org/I83328450"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":1.139,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83338936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"36","issue":"3","first_page":"2289","last_page":"2311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10446","display_name":"Income, Poverty, and Inequality","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10446","display_name":"Income, Poverty, and Inequality","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11770","display_name":"Fiscal Policy and Economic Growth","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gini-coefficient","display_name":"Gini coefficient","score":0.7937271595001221},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.7293180227279663},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.628750741481781},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5173789262771606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5066831707954407},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.46388205885887146},{"id":"https://openalex.org/keywords/inequality","display_name":"Inequality","score":0.3373318910598755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29658243060112},{"id":"https://openalex.org/keywords/economic-inequality","display_name":"Economic inequality","score":0.27912235260009766}],"concepts":[{"id":"https://openalex.org/C2779206190","wikidata":"https://www.wikidata.org/wiki/Q162455","display_name":"Gini coefficient","level":4,"score":0.7937271595001221},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.7293180227279663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.628750741481781},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5173789262771606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5066831707954407},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.46388205885887146},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.3373318910598755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29658243060112},{"id":"https://openalex.org/C513380476","wikidata":"https://www.wikidata.org/wiki/Q5055020","display_name":"Economic inequality","level":3,"score":0.27912235260009766},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-021-01082-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-021-01082-7","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:36:y:2021:i:3:d:10.1007_s00180-021-01082-7","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-021-01082-7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W77246991","https://openalex.org/W1508749062","https://openalex.org/W1834777941","https://openalex.org/W1976553488","https://openalex.org/W1977312576","https://openalex.org/W2034608639","https://openalex.org/W2034671923","https://openalex.org/W2036939042","https://openalex.org/W2041650940","https://openalex.org/W2044758663","https://openalex.org/W2048193549","https://openalex.org/W2049379634","https://openalex.org/W2075544936","https://openalex.org/W2081551423","https://openalex.org/W2087079462","https://openalex.org/W2101561049","https://openalex.org/W2104590203","https://openalex.org/W2157082460","https://openalex.org/W2280553819","https://openalex.org/W2332360786","https://openalex.org/W2480680997","https://openalex.org/W2901110956","https://openalex.org/W2963538516","https://openalex.org/W3121466867","https://openalex.org/W3123382074","https://openalex.org/W3124903582","https://openalex.org/W4230753018"],"related_works":["https://openalex.org/W2366815465","https://openalex.org/W2348303887","https://openalex.org/W4295559186","https://openalex.org/W2394207905","https://openalex.org/W2359203237","https://openalex.org/W1554039155","https://openalex.org/W4388535600","https://openalex.org/W3145651792","https://openalex.org/W2243011871","https://openalex.org/W2375663391"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}