{"id":"https://openalex.org/W2156069095","doi":"https://doi.org/10.1109/ijcnn.2009.5178885","title":"An artificial neural network based heterogeneous panel unit root test in case of cross sectional independence","display_name":"An artificial neural network based heterogeneous panel unit root test in case of cross sectional independence","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2156069095","doi":"https://doi.org/10.1109/ijcnn.2009.5178885","mag":"2156069095"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2009.5178885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036950727","display_name":"Christian de Peretti","orcid":"https://orcid.org/0000-0001-7956-6629"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Lyon 1 Universit\u00e9","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christian de Peretti","raw_affiliation_strings":["Laboratory SAF, ISFA, University Claude Bernard Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory SAF, ISFA, University Claude Bernard Lyon, France","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021820265","display_name":"Carole Siani","orcid":"https://orcid.org/0000-0002-0240-3618"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Lyon 1 Universit\u00e9","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Carole Siani","raw_affiliation_strings":["Department of computer Science, University Claude Bernard Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer Science, University Claude Bernard Lyon, France","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030903497","display_name":"Mario Cerrato","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mario Cerrato","raw_affiliation_strings":["Department of Economics, University of Glasgow, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics, University of Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6994,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94918699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2487","last_page":"2493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10007","display_name":"Monetary Policy and Economic Impact","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"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/T10007","display_name":"Monetary Policy and Economic Impact","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"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/T11059","display_name":"Market Dynamics and Volatility","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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9685999751091003,"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/unit-root","display_name":"Unit root","score":0.7446947693824768},{"id":"https://openalex.org/keywords/unit-root-test","display_name":"Unit root test","score":0.7444525957107544},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.702338695526123},{"id":"https://openalex.org/keywords/panel-data","display_name":"Panel data","score":0.6130397319793701},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5865820646286011},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5232452750205994},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5198671817779541},{"id":"https://openalex.org/keywords/us-dollar","display_name":"Us dollar","score":0.4755377769470215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45279985666275024},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4243553876876831},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39920422434806824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36430567502975464},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3307945430278778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27290666103363037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25517216324806213},{"id":"https://openalex.org/keywords/exchange-rate","display_name":"Exchange rate","score":0.21836403012275696},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11264905333518982},{"id":"https://openalex.org/keywords/cointegration","display_name":"Cointegration","score":0.10733437538146973}],"concepts":[{"id":"https://openalex.org/C195561663","wikidata":"https://www.wikidata.org/wiki/Q1307899","display_name":"Unit root","level":2,"score":0.7446947693824768},{"id":"https://openalex.org/C144341231","wikidata":"https://www.wikidata.org/wiki/Q7887151","display_name":"Unit root test","level":3,"score":0.7444525957107544},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.702338695526123},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.6130397319793701},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5865820646286011},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5232452750205994},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5198671817779541},{"id":"https://openalex.org/C3019931467","wikidata":"https://www.wikidata.org/wiki/Q4917","display_name":"Us dollar","level":3,"score":0.4755377769470215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45279985666275024},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4243553876876831},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39920422434806824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36430567502975464},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3307945430278778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27290666103363037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25517216324806213},{"id":"https://openalex.org/C2776988154","wikidata":"https://www.wikidata.org/wiki/Q66100","display_name":"Exchange rate","level":2,"score":0.21836403012275696},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11264905333518982},{"id":"https://openalex.org/C145162277","wikidata":"https://www.wikidata.org/wiki/Q1751675","display_name":"Cointegration","level":2,"score":0.10733437538146973},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2009.5178885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:42335","is_oa":false,"landing_page_url":"http://eprints.gla.ac.uk/42335/","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Sections"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1548079198","https://openalex.org/W1554663460","https://openalex.org/W1562854638","https://openalex.org/W1597848660","https://openalex.org/W1619038707","https://openalex.org/W1969230115","https://openalex.org/W1975994995","https://openalex.org/W1976285535","https://openalex.org/W1976386631","https://openalex.org/W1976557506","https://openalex.org/W1978589115","https://openalex.org/W1978775682","https://openalex.org/W1978893196","https://openalex.org/W1985419506","https://openalex.org/W1995138608","https://openalex.org/W2005013362","https://openalex.org/W2010997253","https://openalex.org/W2021292846","https://openalex.org/W2021675656","https://openalex.org/W2022618743","https://openalex.org/W2064359247","https://openalex.org/W2081211075","https://openalex.org/W2084424700","https://openalex.org/W2108066104","https://openalex.org/W2117513178","https://openalex.org/W2123207935","https://openalex.org/W2129712515","https://openalex.org/W2146904825","https://openalex.org/W2149998159","https://openalex.org/W2153278534","https://openalex.org/W2153720810","https://openalex.org/W2165722001","https://openalex.org/W2168790274","https://openalex.org/W2178480648","https://openalex.org/W3021452611","https://openalex.org/W3121859816","https://openalex.org/W3121888640","https://openalex.org/W3122480598","https://openalex.org/W3123073228","https://openalex.org/W3123333181","https://openalex.org/W3124505468","https://openalex.org/W3125452089","https://openalex.org/W3126059448","https://openalex.org/W4230644069","https://openalex.org/W4236592698","https://openalex.org/W4300567850","https://openalex.org/W4388297464","https://openalex.org/W6684307215"],"related_works":["https://openalex.org/W2363942132","https://openalex.org/W2130548826","https://openalex.org/W2970661159","https://openalex.org/W2368604504","https://openalex.org/W2912435166","https://openalex.org/W1733001727","https://openalex.org/W2284487626","https://openalex.org/W1767539588","https://openalex.org/W3141290879","https://openalex.org/W2053266589"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"an":[5],"artificial":[6],"neural":[7,16],"network":[8],"(ANN)":[9],"based":[10],"panel":[11,22,27,46,55],"unit":[12,42,47],"root":[13,48],"test,":[14],"extending":[15],"test":[17,39,49],"to":[18,53],"a":[19,54],"dynamic":[20],"heterogeneous":[21],"context,":[23],"and":[24,44],"following":[25],"the":[26,36,45,63,67],"methodology.":[28],"New":[29],"asymptotic":[30],"results":[31],"are":[32],"obtained":[33],"both":[34],"for":[35,41],"individual":[37],"ANN-t":[38],"statistics":[40],"root,":[43],"statistic.":[50],"An":[51],"application":[52],"of":[56],"bilateral":[57],"real":[58],"exchange":[59],"rate":[60],"series":[61],"with":[62],"US":[64],"Dollar":[65],"from":[66],"20":[68],"major":[69],"OECD":[70],"countries":[71],"is":[72],"provided.":[73]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
