{"id":"https://openalex.org/W4388972413","doi":"https://doi.org/10.1080/03610918.2023.2282392","title":"Multiple change-points estimation in panel data models via SaRa","display_name":"Multiple change-points estimation in panel data models via SaRa","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4388972413","doi":"https://doi.org/10.1080/03610918.2023.2282392"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2023.2282392","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2282392","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5101801243","display_name":"Fuxiao Li","orcid":"https://orcid.org/0000-0003-4923-1988"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuxiao Li","raw_affiliation_strings":["Department of Applied Mathematics, Xian University of Technology","Department of Applied Mathematics, Xian University of Technology, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Xian University of Technology","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Department of Applied Mathematics, Xian University of Technology, Xian, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016174358","display_name":"Yanting Xiao","orcid":"https://orcid.org/0000-0002-4694-2648"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanting Xiao","raw_affiliation_strings":["Department of Applied Mathematics, Xian University of Technology","Department of Applied Mathematics, Xian University of Technology, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Xian University of Technology","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Department of Applied Mathematics, Xian University of Technology, Xian, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049944100","display_name":"Zhanshou Chen","orcid":"https://orcid.org/0000-0003-3326-8663"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanshou Chen","raw_affiliation_strings":["Academy of Plateau Science and Sustainability","School of Mathematics and Statistics, Qinghai Normal University","Academy of Plateau Science and Sustainability, Xining, China","School of Mathematics and Statistics, Qinghai Normal University, Xining, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Plateau Science and Sustainability","institution_ids":[]},{"raw_affiliation_string":"School of Mathematics and Statistics, Qinghai Normal University","institution_ids":["https://openalex.org/I20616075"]},{"raw_affiliation_string":"Academy of Plateau Science and Sustainability, Xining, China","institution_ids":[]},{"raw_affiliation_string":"School of Mathematics and Statistics, Qinghai Normal University, Xining, China","institution_ids":["https://openalex.org/I20616075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101801243"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.542,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85137697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"54","issue":"5","first_page":"1384","last_page":"1399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.994700014591217,"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"}},"topics":[{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.994700014591217,"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":0.9872000217437744,"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/T10435","display_name":"Environmental Impact and Sustainability","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7932822108268738},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6713523268699646},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6533120274543762},{"id":"https://openalex.org/keywords/panel-data","display_name":"Panel data","score":0.640996515750885},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6129234433174133},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5717630982398987},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5688204765319824},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5219773054122925},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.518953800201416},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.4409283399581909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43651413917541504},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42460185289382935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36563318967819214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11830100417137146},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.090920090675354}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7932822108268738},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6713523268699646},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6533120274543762},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.640996515750885},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6129234433174133},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5717630982398987},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5688204765319824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5219773054122925},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.518953800201416},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.4409283399581909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43651413917541504},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42460185289382935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36563318967819214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11830100417137146},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.090920090675354},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2023.2282392","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2282392","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W69084147","https://openalex.org/W826821453","https://openalex.org/W1577286032","https://openalex.org/W1867580323","https://openalex.org/W1957259441","https://openalex.org/W1982036821","https://openalex.org/W2015539364","https://openalex.org/W2033695946","https://openalex.org/W2036414171","https://openalex.org/W2074505686","https://openalex.org/W2086325258","https://openalex.org/W2102133987","https://openalex.org/W2108938609","https://openalex.org/W2122168521","https://openalex.org/W2143104941","https://openalex.org/W2325835963","https://openalex.org/W2491391752","https://openalex.org/W2550749688","https://openalex.org/W2568903408","https://openalex.org/W2580800645","https://openalex.org/W2598470368","https://openalex.org/W2962799002","https://openalex.org/W3007810145","https://openalex.org/W3009565864","https://openalex.org/W3103275707","https://openalex.org/W3188629815","https://openalex.org/W3194311807","https://openalex.org/W4298295580","https://openalex.org/W6635068764"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W3181296946","https://openalex.org/W2376528221","https://openalex.org/W2359428812","https://openalex.org/W196800607","https://openalex.org/W2258704520","https://openalex.org/W2188500270","https://openalex.org/W1546381263"],"abstract_inverted_index":{"Multiple":[0],"change-points":[1,22,41,62,96],"estimation":[2,23],"in":[3,13,24,126],"panel":[4,28],"data":[5,29,122],"models":[6],"is":[7,52,77,113],"one":[8],"of":[9,27,73,95,123,137],"the":[10,20,25,39,50,57,60,67,71,74,86,91,100,111,117,127,135,138],"popular":[11],"topics":[12],"statistics.":[14,48],"In":[15],"this":[16],"article,":[17],"we":[18],"investigate":[19],"multiple":[21],"mean":[26],"model":[30],"based":[31,45],"on":[32,46],"a":[33],"screening":[34],"and":[35,93,109],"ranking":[36],"algorithm.":[37],"Firstly,":[38],"possible":[40],"are":[42,63,103],"initially":[43],"screened":[44,64],"local":[47],"Secondly,":[49],"threshold":[51],"used":[53,114],"to":[54,115,131,133],"further":[55],"screen":[56],"change-points.":[58],"Finally,":[59],"final":[61],"out":[65],"using":[66],"information":[68],"criterion.":[69],"Furthermore,":[70],"consistency":[72],"change-point":[75],"estimators":[76],"proved.":[78],"The":[79],"Monte":[80],"Carlo":[81],"simulation":[82],"results":[83],"show":[84],"that":[85],"proposed":[87],"method":[88,112],"can":[89],"estimate":[90],"number":[92],"locations":[94],"accurately":[97],"even":[98],"if":[99],"error":[101],"terms":[102],"serially":[104],"correlated":[105],"or":[106],"cross-sectionally":[107],"correlated,":[108],"finally":[110],"analyze":[116],"annual":[118],"GDP":[119],"growth":[120],"rate":[121],"47":[124],"countries":[125],"word":[128],"from":[129],"1971":[130],"2019":[132],"illustrate":[134],"effectiveness":[136],"method.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
