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dc.contributor.authorTamer, Elie
dc.date.accessioned2018-01-24T17:58:28Z
dc.date.issued2010
dc.identifier.citationTamer, Elie. 2010. “Partial Identification in Econometrics.” Annual Review of Economics 2 (1) (September 4): 167–195. doi:10.1146/annurev.economics.050708.143401.en_US
dc.identifier.issn1941-1383en_US
dc.identifier.issn1941-1391en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:34728615
dc.description.abstractIdentification in econometric models maps prior assumptions and the data to information about a parameter of interest. The partial identification approach to inference recognizes that this process should not result in a binary answer that consists of whether the parameter is point identified. Rather, given the data, the partial identification approach characterizes the informational content of various assumptions by providing a menu of estimates, each based on different sets of assumptions, some of which are plausible and some of which are not. Of course, more assumptions beget more information, so stronger conclusions can be made at the expense of more assumptions. The partial identification approach advocates a more fluid view of identification and hence provides the empirical researcher with methods to help study the spectrum of information that we can harness about a parameter of interest using a menu of assumptions. This approach links conclusions drawn from various empirical models to sets of assumptions made in a transparent way. It allows researchers to examine the informational content of their assumptions and their impacts on the inferences made. Naturally, with finite sample sizes, this approach leads to statistical complications, as one needs to deal with characterizing sampling uncertainty in models that do not point identify a parameter. Therefore, new methods for inference are developed. These methods construct confidence sets for partially identified parameters, and confidence regions for sets of parameters, or identifiable sets.en_US
dc.description.sponsorshipEconomicsen_US
dc.language.isoen_USen_US
dc.publisherAnnual Reviewsen_US
dc.relation.isversionofdoi:10.1146/annurev.economics.050708.143401en_US
dc.relation.hasversionhttp://scholar.harvard.edu/files/tamer/files/pie.pdfen_US
dash.licenseMETA_ONLY
dc.subjectnon-point-identified modelsen_US
dc.subjectsensitivity analysisen_US
dc.subjectrobust inferenceen_US
dc.subjectboundsen_US
dc.titlePartial Identification in Econometricsen_US
dc.typeJournal Articleen_US
dc.date.updated2014-08-21T23:23:17Z
dc.description.versionVersion of Recorden_US
dc.relation.journalAnnual Review of Economicsen_US
dash.depositing.authorTamer, Elie
dash.embargo.until10000-01-01
dc.identifier.doi10.1146/annurev.economics.050708.143401*
workflow.legacycommentsoap.needman (MM) Tamer emailed 2016-05-25 MMen_US
dash.contributor.affiliatedTamer, Elie


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