{"id":"https://openalex.org/W2910671122","doi":"https://doi.org/10.1080/01605682.2019.1599778","title":"Statistical inference for the Russell measure of technical efficiency","display_name":"Statistical inference for the Russell measure of technical efficiency","publication_year":2019,"publication_date":"2019-04-23","ids":{"openalex":"https://openalex.org/W2910671122","doi":"https://doi.org/10.1080/01605682.2019.1599778","mag":"2910671122"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2019.1599778","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2019.1599778","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5040114671","display_name":"Oleg Badunenko","orcid":null},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Oleg Badunenko","raw_affiliation_strings":["Economics and Finance Group, Portsmouth Business School, University of Portsmouth, Portsmouth, UK;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Economics and Finance Group, Portsmouth Business School, University of Portsmouth, Portsmouth, UK;","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041121259","display_name":"Pavlo Mozharovskyi","orcid":"https://orcid.org/0000-0002-1925-3337"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pavlo Mozharovskyi","raw_affiliation_strings":["LTCI, Telecom ParisTech, University of Paris-Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, Telecom ParisTech, University of Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040114671"],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":0.713,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72630044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"71","issue":"3","first_page":"517","last_page":"527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10393","display_name":"Economic Growth and Productivity","score":0.9872000217437744,"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":0.9739999771118164,"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/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.8053566217422485},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7587330937385559},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6386699676513672},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6214849948883057},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.60951167345047},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5760841369628906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5570820569992065},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5205853581428528},{"id":"https://openalex.org/keywords/efficiency","display_name":"Efficiency","score":0.49906182289123535},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.46139904856681824},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3810531198978424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2925439774990082},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24764862656593323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1940607726573944}],"concepts":[{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.8053566217422485},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7587330937385559},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6386699676513672},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6214849948883057},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.60951167345047},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5760841369628906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5570820569992065},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5205853581428528},{"id":"https://openalex.org/C17648541","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficiency","level":3,"score":0.49906182289123535},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.46139904856681824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3810531198978424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2925439774990082},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24764862656593323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1940607726573944},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/01605682.2019.1599778","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2019.1599778","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjorxx:v:71:y:2020:i:3:p:517-527","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/01605682.2019.1599778","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"},{"id":"pmh:oai:bura.brunel.ac.uk:2438/22404","is_oa":false,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/22404","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/ca5c78ea-016a-49b9-a1a3-5fd8d2d6602f","is_oa":false,"landing_page_url":"https://www.tandfonline.com/doi/full/10.1080/01605682.2019.1599778","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3597637701","display_name":"Centre de Math\u00e9matiques Henri Lebesgue : fondements, interactions, applications et Formation","funder_award_id":"ANR-11-LABX-0020","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W624722751","https://openalex.org/W634001533","https://openalex.org/W1563360925","https://openalex.org/W1595334554","https://openalex.org/W2007723974","https://openalex.org/W2053158130","https://openalex.org/W2056619877","https://openalex.org/W2057504982","https://openalex.org/W2058524754","https://openalex.org/W2102942332","https://openalex.org/W2129905273","https://openalex.org/W2130547445","https://openalex.org/W2134675596","https://openalex.org/W2136211845","https://openalex.org/W2162180338","https://openalex.org/W2167519467","https://openalex.org/W2943184909","https://openalex.org/W3106889297","https://openalex.org/W3129744925","https://openalex.org/W4233014035","https://openalex.org/W4248313157"],"related_works":["https://openalex.org/W2035423388","https://openalex.org/W2515668944","https://openalex.org/W312923485","https://openalex.org/W2041365066","https://openalex.org/W3123375916","https://openalex.org/W2120745168","https://openalex.org/W2169049974","https://openalex.org/W2043018577","https://openalex.org/W2354788275","https://openalex.org/W2154914552"],"abstract_inverted_index":{"Data":[0],"envelopment":[1],"analysis":[2],"(DEA)":[3],"has":[4],"become":[5],"a":[6,41],"popular":[7],"approach":[8],"to":[9,60],"nonparametric":[10],"efficiency":[11],"measurement.":[12],"The":[13],"statistical":[14,47],"inference":[15,48],"using":[16,75],"bootstrap":[17,42,77],"methods":[18],"is":[19,29],"readily":[20],"available":[21],"for":[22,31,45],"the":[23,32,35,50,66],"radial":[24],"DEA":[25,37],"estimator;":[26],"however":[27],"it":[28],"missing":[30],"Russell":[33,52],"measure,":[34],"nonradial":[36],"estimator.":[38,68],"We":[39,57],"propose":[40],"based":[43],"procedure":[44],"making":[46],"about":[49],"individual":[51],"measures":[53],"of":[54,65],"technical":[55],"efficiency.":[56],"perform":[58],"simulations":[59],"examine":[61],"finite":[62],"sample":[63],"properties":[64],"proposed":[67,76],"Finally,":[69],"we":[70],"present":[71],"an":[72],"empirical":[73],"study":[74],"procedure.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}