{"id":"https://openalex.org/W2009757587","doi":"https://doi.org/10.1007/s00180-013-0458-x","title":"Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models","display_name":"Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models","publication_year":2013,"publication_date":"2013-10-14","ids":{"openalex":"https://openalex.org/W2009757587","doi":"https://doi.org/10.1007/s00180-013-0458-x","mag":"2009757587"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-013-0458-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-013-0458-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-013-0458-x.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00180-013-0458-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026261134","display_name":"Giampiero Marra","orcid":"https://orcid.org/0000-0002-9010-2646"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Giampiero Marra","raw_affiliation_strings":["Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006964450","display_name":"Rosalba Radice","orcid":"https://orcid.org/0000-0002-6316-3961"},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rosalba Radice","raw_affiliation_strings":["Department of Economics, Mathematics and Statistics, Birkbeck, University of London, Malet Street, London, WC1E 7HX, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics, Mathematics and Statistics, Birkbeck, University of London, Malet Street, London, WC1E 7HX, UK","institution_ids":["https://openalex.org/I98259816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103698676","display_name":"Silvia Missiroli","orcid":null},"institutions":[{"id":"https://openalex.org/I71209653","display_name":"Bocconi University","ror":"https://ror.org/05crjpb27","country_code":"IT","type":"education","lineage":["https://openalex.org/I71209653"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Missiroli","raw_affiliation_strings":["Department of Decision Science, Bocconi University, Via Roentgen 1, 20136\u00a0, Milano, Italy","Dipartimento di Scienze Statistiche, Universita\u2019 di Bologna, via Belle Arti 41, 40126\u00a0, Bologna, Italy","Dipartimento di Scienze Statistiche, Universita' di Bologna, via Belle Arti 41, 40126\u00a0, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Decision Science, Bocconi University, Via Roentgen 1, 20136\u00a0, Milano, Italy","institution_ids":["https://openalex.org/I71209653"]},{"raw_affiliation_string":"Dipartimento di Scienze Statistiche, Universita\u2019 di Bologna, via Belle Arti 41, 40126\u00a0, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Dipartimento di Scienze Statistiche, Universita' di Bologna, via Belle Arti 41, 40126\u00a0, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026261134"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":1870,"currency":"EUR","value_usd":2016},"fwci":0.5937,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.7044002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":"3-4","first_page":"715","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10007","display_name":"Monetary Policy and Economic Impact","score":0.9925000071525574,"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/T11898","display_name":"Economics of Agriculture and Food Markets","score":0.9902999997138977,"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/econometrics","display_name":"Econometrics","score":0.8006308078765869},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.7218025922775269},{"id":"https://openalex.org/keywords/probit","display_name":"Probit","score":0.6199620962142944},{"id":"https://openalex.org/keywords/multivariate-probit-model","display_name":"Multivariate probit model","score":0.5928120613098145},{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.5415120720863342},{"id":"https://openalex.org/keywords/wald-test","display_name":"Wald test","score":0.522993803024292},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5074624419212341},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5030173659324646},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.47997403144836426},{"id":"https://openalex.org/keywords/probit-model","display_name":"Probit model","score":0.45734333992004395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45150575041770935},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4169788658618927}],"concepts":[{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.8006308078765869},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.7218025922775269},{"id":"https://openalex.org/C184314375","wikidata":"https://www.wikidata.org/wiki/Q3117995","display_name":"Probit","level":2,"score":0.6199620962142944},{"id":"https://openalex.org/C120784921","wikidata":"https://www.wikidata.org/wiki/Q17086363","display_name":"Multivariate probit model","level":2,"score":0.5928120613098145},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.5415120720863342},{"id":"https://openalex.org/C203274628","wikidata":"https://www.wikidata.org/wiki/Q748664","display_name":"Wald test","level":3,"score":0.522993803024292},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5074624419212341},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5030173659324646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47997403144836426},{"id":"https://openalex.org/C67257552","wikidata":"https://www.wikidata.org/wiki/Q635217","display_name":"Probit model","level":2,"score":0.45734333992004395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45150575041770935},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4169788658618927},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s00180-013-0458-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-013-0458-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-013-0458-x.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:eprints.bbk.ac.uk.oai2:13840","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400465","display_name":"BIROn (Birkbeck, University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98259816","host_organization_name":"Birkbeck, University of London","host_organization_lineage":["https://openalex.org/I98259816"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:openaccess.city.ac.uk:20947","is_oa":true,"landing_page_url":"https://openaccess.city.ac.uk/view/creators_id/rosalba=2Eradice.html>","pdf_url":"https://openaccess.city.ac.uk/id/eprint/20947/1/Testing%20the%20hypothesis%20of%20absence%20of%20unobserved%20confounding%20in%20semiparametric%20bivariate%20probit%20models.pdf","source":{"id":"https://openalex.org/S4306401940","display_name":"City Research Online (City University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180825142","host_organization_name":"City, University of London","host_organization_lineage":["https://openalex.org/I180825142"],"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:RePEc:spr:compst:v:29:y:2014:i:3:p:715-741","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00180-013-0458-x","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:eprints.bbk.ac.uk.oai2:9607","is_oa":false,"landing_page_url":"https://eprints.bbk.ac.uk/id/eprint/9607/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400465","display_name":"BIROn (Birkbeck, University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98259816","host_organization_name":"Birkbeck, University of London","host_organization_lineage":["https://openalex.org/I98259816"],"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:eprints.ucl.ac.uk.OAI2:1435599","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1435599/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"COMPUTATIONAL STATISTICS , 29 (3-4) 715 - 741. (2014)","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s00180-013-0458-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-013-0458-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-013-0458-x.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.8199999928474426,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2075121895","display_name":null,"funder_award_id":"EP/J006742/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G420450117","display_name":"Semiparametric Sample Selection Models with Applications in Biostatistics, Economics and Environmetrics","funder_award_id":"EP/J006742/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2009757587.pdf","grobid_xml":"https://content.openalex.org/works/W2009757587.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W53657057","https://openalex.org/W1529991977","https://openalex.org/W1556631438","https://openalex.org/W1965458961","https://openalex.org/W1968692896","https://openalex.org/W1978461618","https://openalex.org/W1981665692","https://openalex.org/W1990420052","https://openalex.org/W1993349404","https://openalex.org/W1998959858","https://openalex.org/W2001696823","https://openalex.org/W2004127644","https://openalex.org/W2004913021","https://openalex.org/W2009060438","https://openalex.org/W2020821583","https://openalex.org/W2029761439","https://openalex.org/W2031738299","https://openalex.org/W2033157676","https://openalex.org/W2034472336","https://openalex.org/W2037589075","https://openalex.org/W2042886107","https://openalex.org/W2061103297","https://openalex.org/W2067342226","https://openalex.org/W2080282135","https://openalex.org/W2098910318","https://openalex.org/W2112235131","https://openalex.org/W2112692156","https://openalex.org/W2114124967","https://openalex.org/W2120398969","https://openalex.org/W2124758339","https://openalex.org/W2131501423","https://openalex.org/W2139122730","https://openalex.org/W2160597133","https://openalex.org/W2162377887","https://openalex.org/W2166715678","https://openalex.org/W2169981250","https://openalex.org/W2509991828","https://openalex.org/W2582743722","https://openalex.org/W2792481980","https://openalex.org/W3023254902","https://openalex.org/W3029645440","https://openalex.org/W3123476065","https://openalex.org/W3125601827","https://openalex.org/W4298870098","https://openalex.org/W4301014524"],"related_works":["https://openalex.org/W3027827403","https://openalex.org/W64356619","https://openalex.org/W2343740399","https://openalex.org/W3122701957","https://openalex.org/W2105715653","https://openalex.org/W2910895471","https://openalex.org/W3161750071","https://openalex.org/W3122016729","https://openalex.org/W3200333841","https://openalex.org/W2325840652"],"abstract_inverted_index":{"Abstract":[0],"Lagrange":[1],"multiplier":[2],"and":[3,22,50,54],"Wald":[4],"tests":[5,35,73],"for":[6,69],"the":[7,17,34,81],"hypothesis":[8],"of":[9,11,19,33,83],"absence":[10],"unobserved":[12,84],"confounding":[13,85],"are":[14,36,74],"extended":[15],"to":[16],"context":[18],"semiparametric":[20],"recursive":[21],"sample":[23,30],"selection":[24],"bivariate":[25],"probit":[26],"models.":[27],"The":[28,59,72],"finite":[29],"size":[31],"properties":[32],"examined":[37],"through":[38],"a":[39],"Monte":[40],"Carlo":[41],"study":[42],"using":[43,76],"several":[44],"scenarios:":[45],"correct":[46],"model":[47],"specification,":[48],"distributional":[49],"functional":[51],"misspecification,":[52],"with":[53],"without":[55],"an":[56],"exclusion":[57],"restriction.":[58],"simulation":[60],"results":[61],"provide":[62],"some":[63],"guidelines":[64],"which":[65,80],"may":[66],"be":[67],"important":[68],"empirical":[70],"analysis.":[71],"illustrated":[75],"two":[77],"datasets":[78],"in":[79],"issue":[82],"arises.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}