Bayesian Approaches for Limited Dependent Variable Change Point Problems

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Bayesian Approaches for Limited Dependent Variable Change Point Problems

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dc.contributor.author Spirling, Arthur P
dc.date.accessioned 2009-11-30T21:05:34Z
dc.date.issued 2007
dc.identifier.citation Spirling, Arthur P. 2007. Bayesian approaches for limited dependent variable change point problems. Political Analysis 15(4): 387-405. en_US
dc.identifier.issn 1047-1987 en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:3425916
dc.description.abstract Limited dependent variable (LDV) data are common in political science, and political methodologists have given much good advice on dealing with them. We review some methods for LDV "change point problems" and demonstrate the use of Bayesian approaches for count, binary, and duration-type data. Our applications are drawn from American politics, Comparative politics, and International Political Economy. We discuss the tradeoffs both philosophically and computationally. We conclude with possibilities for multiple change point work. en_US
dc.description.sponsorship Government en_US
dc.language.iso en_US en_US
dc.publisher Oxford University Press en_US
dc.relation.isversionof http://dx.doi.org/10.1093/pan/mpm022 en_US
dash.license META_ONLY
dc.title Bayesian Approaches for Limited Dependent Variable Change Point Problems en_US
dc.type Journal Article en_US
dc.description.version Version of Record en_US
dc.relation.journal Political Analysis en_US
dash.depositing.author Spirling, Arthur P
dash.embargo.until 10000-01-01

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  • FAS Scholarly Articles [7078]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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