{"id":"https://openalex.org/W2027523969","doi":"https://doi.org/10.1109/cifer.2013.6611708","title":"Monte Carlo methods in spatio-temporal regression modeling of migration in the EU","display_name":"Monte Carlo methods in spatio-temporal regression modeling of migration in the EU","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2027523969","doi":"https://doi.org/10.1109/cifer.2013.6611708","mag":"2027523969"},"language":"en","primary_location":{"id":"doi:10.1109/cifer.2013.6611708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cifer.2013.6611708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Conference on Computational Intelligence for Financial Engineering &amp; Economics (CIFEr)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1959.4/unsworks_74360","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043687718","display_name":"Maurizio Manuguerra","orcid":"https://orcid.org/0000-0002-8780-5551"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Maurizio Manuguerra","raw_affiliation_strings":["Statistics Department, Macquarie University, Sydney, NSW, Australia","Stat. Dept., Macquarie Univ., Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Department, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Stat. Dept., Macquarie Univ., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036033273","display_name":"Georgy Sofronov","orcid":"https://orcid.org/0000-0001-5342-7559"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Georgy Sofronov","raw_affiliation_strings":["Statistics Department, Macquarie University, Sydney, NSW, Australia","Stat. Dept., Macquarie Univ., Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Department, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Stat. Dept., Macquarie Univ., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076982333","display_name":"Massimiliano Tani","orcid":"https://orcid.org/0000-0001-7642-8343"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Massimiliano Tani","raw_affiliation_strings":["Economics Department, Macquarie University, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Economics Department, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037792717","display_name":"Gillian Z. Heller","orcid":"https://orcid.org/0000-0003-1270-1499"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gillian Heller","raw_affiliation_strings":["Statistics Department, Macquarie University, Sydney, NSW, Australia","Stat. Dept., Macquarie Univ., Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Department, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Stat. Dept., Macquarie Univ., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12016964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"128","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9987999796867371,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9987999796867371,"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/T14509","display_name":"demographic modeling and climate adaptation","score":0.9814000129699707,"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/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7736949920654297},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.633536696434021},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.625948429107666},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5690785050392151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5454763174057007},{"id":"https://openalex.org/keywords/spatial-econometrics","display_name":"Spatial econometrics","score":0.5386313199996948},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5050705075263977},{"id":"https://openalex.org/keywords/european-union","display_name":"European union","score":0.4467565715312958},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.42175811529159546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32176172733306885},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29000163078308105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24474090337753296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20465141534805298},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08705213665962219}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7736949920654297},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.633536696434021},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.625948429107666},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5690785050392151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5454763174057007},{"id":"https://openalex.org/C97144632","wikidata":"https://www.wikidata.org/wiki/Q7574062","display_name":"Spatial econometrics","level":2,"score":0.5386313199996948},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5050705075263977},{"id":"https://openalex.org/C2910001868","wikidata":"https://www.wikidata.org/wiki/Q458","display_name":"European union","level":2,"score":0.4467565715312958},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.42175811529159546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32176172733306885},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29000163078308105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24474090337753296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20465141534805298},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08705213665962219},{"id":"https://openalex.org/C105639569","wikidata":"https://www.wikidata.org/wiki/Q582577","display_name":"Economic policy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cifer.2013.6611708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cifer.2013.6611708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Conference on Computational Intelligence for Financial Engineering &amp; Economics (CIFEr)","raw_type":"proceedings-article"},{"id":"pmh:doi:10.26190/unsworks/27956","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/abstract/document/6611708","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"ConferencePaper"},{"id":"pmh:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_74360","is_oa":true,"landing_page_url":"http://hdl.handle.net/1959.4/unsworks_74360","pdf_url":null,"source":{"id":"https://openalex.org/S4306401737","display_name":"UNSWorks (University of New South Wales, Sydney, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40053085","host_organization_name":"Australian Defence Force Academy","host_organization_lineage":["https://openalex.org/I40053085"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr), Singapore, SINGAPORE, 2013-04-16 - 2013-04-19","raw_type":"http://purl.org/coar/resource_type/c_5794"},{"id":"doi:10.26190/unsworks/27956","is_oa":true,"landing_page_url":"https://doi.org/10.26190/unsworks/27956","pdf_url":null,"source":{"id":"https://openalex.org/S7407053176","display_name":"University of New South Wales","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_74360","is_oa":true,"landing_page_url":"http://hdl.handle.net/1959.4/unsworks_74360","pdf_url":null,"source":{"id":"https://openalex.org/S4306401737","display_name":"UNSWorks (University of New South Wales, Sydney, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40053085","host_organization_name":"Australian Defence Force Academy","host_organization_lineage":["https://openalex.org/I40053085"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr), Singapore, SINGAPORE, 2013-04-16 - 2013-04-19","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W101328163","https://openalex.org/W1537576017","https://openalex.org/W1966017656","https://openalex.org/W1985093013","https://openalex.org/W2003241476","https://openalex.org/W2004014822","https://openalex.org/W2039973089","https://openalex.org/W2045642905","https://openalex.org/W2074166361","https://openalex.org/W2079126542","https://openalex.org/W2080762446","https://openalex.org/W2099985163","https://openalex.org/W2114100577","https://openalex.org/W2114220616","https://openalex.org/W2132071585","https://openalex.org/W2161624992","https://openalex.org/W2329094826","https://openalex.org/W2795052065","https://openalex.org/W2796432875","https://openalex.org/W3123476552","https://openalex.org/W3124691892","https://openalex.org/W4230550322","https://openalex.org/W4232383088","https://openalex.org/W4237954859","https://openalex.org/W4388319865","https://openalex.org/W4388319991","https://openalex.org/W4388320111","https://openalex.org/W6604179166","https://openalex.org/W6857779742","https://openalex.org/W6858206693"],"related_works":["https://openalex.org/W2608038902","https://openalex.org/W4298358525","https://openalex.org/W2354654203","https://openalex.org/W2734394801","https://openalex.org/W3148227991","https://openalex.org/W1585366496","https://openalex.org/W2253966512","https://openalex.org/W274531366","https://openalex.org/W2683300720","https://openalex.org/W176569420"],"abstract_inverted_index":{"Spatio-temporal":[0],"regression":[1],"models":[2],"are":[3,169,181],"well":[4],"developed":[5],"in":[6,20,71,106,211],"disciplines":[7],"such":[8],"as,":[9],"for":[10,149],"example,":[11],"climate":[12],"and":[13,36,58,151],"geostatistics,":[14],"but":[15],"have":[16,30,115,173],"had":[17],"little":[18],"application":[19],"the":[21,39,43,68,72,87,107,125,143,160,189],"modelling":[22,121],"of":[23,33,89,127,166,196],"economic":[24],"phenomena.":[25],"In":[26,110,138],"this":[27,139,197],"study":[28,198],"we":[29,141],"modelled":[31],"migrations":[32],"skilled":[34,167],"workers":[35,168],"firms":[37],"across":[38],"European":[40,63],"Union":[41],"during":[42],"period":[44],"1998-2010.":[45],"The":[46,93,156,194],"data":[47],"set":[48],"has":[49,97],"been":[50,98,116],"extracted":[51],"from":[52],"Eurostats":[53],"Labour":[54],"Force":[55],"Survey":[56],"(LFS)":[57],"contains":[59],"information":[60],"stratified":[61],"by":[62,184],"region.":[64],"We":[65],"investigate":[66],"whether":[67],"spatial":[69],"component":[70],"migration":[73],"patterns":[74],"is":[75,199,203],"based":[76],"either":[77],"on":[78,81],"neighbourhood":[79],"or":[80],"some":[82],"other":[83,176],"metric":[84],"(such":[85],"as":[86],"existence":[88],"a":[90,163,205],"flight":[91,185],"connection).":[92],"complete":[94],"spatio-temporal":[95,120],"model":[96,136],"implemented":[99],"using":[100],"conditional":[101],"autoregressive":[102],"(CAR)":[103],"random":[104],"effects":[105],"Bayesian":[108,113,144],"framework.":[109],"recent":[111],"years,":[112],"methods":[114],"widely":[117],"applied":[118],"to":[119,134,172,183,208],"since":[122],"they":[123,180],"enable":[124],"use":[126],"Markov":[128],"chain":[129],"Monte":[130],"Carlo":[131],"(MCMC)":[132],"samplers":[133],"estimate":[135],"parameters.":[137],"paper,":[140],"consider":[142],"Adaptive":[145],"Independence":[146],"Sampler":[147],"(BAIS)":[148],"estimation,":[150],"compare":[152],"different":[153],"computing":[154],"schemes.":[155],"results":[157],"suggest":[158],"that":[159,200],"regions":[161,178,190],"with":[162,175,188],"stronger":[164],"increase":[165],"more":[170],"likely":[171],"similarities":[174],"advanced":[177],"which":[179],"connected":[182],"connections,":[186],"than":[187],"at":[191],"their":[192],"border.":[193],"conclusion":[195],"graphical":[201],"proximity":[202],"not":[204],"sufficient":[206],"condition":[207],"reduce":[209],"differences":[210],"skill":[212],"endowments":[213],"between":[214],"regions.":[215]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
