We consider a deterministically trending dynamic time series model in which multiple changes in level, trend and error variance are modeled explicitly and the number but not the timing of the changes are known. Estimation of the model is made possible by the use of the Gibbs sampler. The determination of the number of structural breaks and the form of structural change is considered as a problem of model selection and we compare the use of marginal likelihoods, posterior odds ratios and Schwarz' BIC model selection criterion to select the most appropriate model from the data. We evaluate the efficacy of the Bayesian approach using a small Monte Carlo experiment. As empirical examples, we investigate structural changes in the U.S. ex-post real interest rate and in a long time series of U.S. GDP.
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Paper provided by EconWPA in its series Econometrics with number
9903002.
Length: 13 pages Date of creation: 24 Mar 1999 Date of revision:
31 Mar 1999 Handle: RePEc:wpa:wuwpem:9903002
Note: Type of Document - Adobe Acrobat; prepared on PC using TeX; to print on Postscript; pages: 13 ; figures: included Contact details of provider: Web page: http://129.3.20.41
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Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
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