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We describe a Bayesian model that treats the change point in a time series as a parameter to be estimated. In this model, inference for the regression coefficients reflects prior uncertainty about the location of the change point. Inferences about regression coefficients, unconditional on the change-point location, can be obtained by simulation methods. The model is illustrated in an analysis of real wage growth in 18 OECD countries from 1965–1992."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2004"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Bruce Western and Meredith Kleykamp. 2004. \"A Bayesian Change Point Model for Historical Time Series Analysis.\"  Political Analysis, 12(4), 354-374. <a href= \"http://pan.oxfordjournals.org/cgi/reprint/12/4/354\" target= \"_new\">subscribe to Political Analysis to access the full article</a>"}}]},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Political Analysis"},"producerURL":{"typeName":"producerURL","multiple":false,"typeClass":"primitive","value":"http://pan.oxfordjournals.org/"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2004"},{"typeName":"distributor","multiple":true,"typeClass":"compound","value":[{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"Murray Research Archive"},"distributorURL":{"typeName":"distributorURL","multiple":false,"typeClass":"primitive","value":"http://www.murray.harvard.edu"},"distributorLogoURL":{"typeName":"distributorLogoURL","multiple":false,"typeClass":"primitive","value":"http://murray.harvard.edu/files/murray/banner146x48.png"}}]},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2010"}]}},"files":[{"description":"An R script that implements Gibbs sampler and SSCP functions in a small example with artifical data.","label":"bcp1.R","restricted":false,"version":1,"datasetVersionId":43972,"categories":["3. 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