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dc.contributor.authorGelman, Andrew
dc.contributor.authorKing, Gary
dc.date.accessioned2010-07-16T21:14:14Z
dc.date.issued1990
dc.identifier.citationGelman, Andrew, and Gary King. 1990. Estimating incumbency advantage without bias. American Journal of Political Science 34(4): 1142-1164.en_US
dc.identifier.issn0092-5853en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4313309
dc.description.abstractIn this paper we prove theoretically and demonstrate empirically that all existing measures of incumbency advantage in the congressional elections literature are biased or inconsistent. We then provide an unbiased estimator based on a very simple linear regression model. We apply this new method to congressional elections since 1900, providing the first evidence of a positive incumbency advantage in the first half of the century.en_US
dc.description.sponsorshipGovernmenten_US
dc.language.isoen_USen_US
dc.publisherWiley-Blackwellen_US
dc.relation.isversionofdoi:10.2307/2111475en_US
dc.relation.hasversionhttp://gking.harvard.edu/files/inc.pdfen_US
dash.licenseLAA
dc.titleEstimating Incumbency Advantage Without Biasen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalAmerican Journal of Political Scienceen_US
dash.depositing.authorKing, Gary
dc.date.available2010-07-16T21:14:14Z
dc.identifier.doi10.2307/2111475*
dash.identifier.orcid0000-0002-5327-7631*
dash.contributor.affiliatedKing, Gary


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