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dc.contributor.authorMikusheva, Anna
dc.date.accessioned2015-04-03T17:45:43Z
dc.date.available2015-04-03T17:45:43Z
dc.date.issued2013
dc.identifier.issn1993-7601
dc.identifier.urihttp://hdl.handle.net/1721.1/96376
dc.description.abstractThis paper provides a brief review of the current state of knowledge on the topic of weakly-identified instrumental variable regression. We describe the essence of the problem of weak identification, possible methods for detecting it in applied work as well as methods robust to weak identification. Special attention is devoted to the question of hypothesis testing in the presence of weak identification.en_US
dc.language.isoen_US
dc.publisherCEMI RASen_US
dc.relation.isversionofhttp://pe.cemi.rssi.ru/pe_2013_1_117-131.pdfen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleSurvey on Statistical Inferences in Weakly-Identified Instrumental Variable Modelsen_US
dc.typeArticleen_US
dc.identifier.citationMikusheva, Anna. "Survey on Statistical Inferences in Weakly-Identified Instrumental Variable Models." Applied Econometrics 29 (1), 2013.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economicsen_US
dc.contributor.mitauthorMikusheva, Annaen_US
dc.relation.journalApplied Econometricsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMikusheva, Annaen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0724-5428
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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