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dc.contributor.authorBonhomme, Stéphane
dc.contributor.authorManresa Quirante, Elena
dc.date.accessioned2017-09-01T14:36:50Z
dc.date.available2017-09-01T14:36:50Z
dc.date.issued2015-06
dc.date.submitted2014-04
dc.identifier.issn0012-9682
dc.identifier.issn1468-0262
dc.identifier.urihttp://hdl.handle.net/1721.1/111106
dc.description.abstractThis paper introduces time-varying grouped patterns of heterogeneity in linear panel data models. A distinctive feature of our approach is that group membership is left unrestricted. We estimate the parameters of the model using a “grouped fixed-effects” estimator that minimizes a least squares criterion with respect to all possible groupings of the cross-sectional units. Recent advances in the clustering literature allow for fast and efficient computation. We provide conditions under which our estimator is consistent as both dimensions of the panel tend to infinity, and we develop inference methods. Finally, we allow for grouped patterns of unobserved heterogeneity in the study of the link between income and democracy across countries.en_US
dc.language.isoen_US
dc.publisherThe Econometric Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.3982/ecta11319en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Manresa via Shikha Sharmaen_US
dc.titleGrouped Patterns of Heterogeneity in Panel Dataen_US
dc.typeArticleen_US
dc.identifier.citationBonhomme, Stéphane, and Manresa, Elena. “Grouped Patterns of Heterogeneity in Panel Data.” Econometrica 83, 3 (May 2015): 1147–1184 © 2015 The Econometric Societyen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorManresa Quirante, Elena
dc.relation.journalEconometricaen_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.orderedauthorsBonhomme, Stéphane; Manresa, Elenaen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0884-792X
mit.licenseOPEN_ACCESS_POLICYen_US


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