A Time Series Model of Multiple Structural changes in Level, Trend and Variance
AbstractWe 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper 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
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://184.108.40.206
BIC; Gibbs sampling; multiple structural changes; posterior odds ratio;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Charles Engel & Chang-Jin Kim, 1996.
"The Long-Run U.S./U.K. Real Exchange Rate,"
NBER Working Papers
5777, National Bureau of Economic Research, Inc.
- Engel, C. & Kim, C.J., 1996. "The Long-Run U.S./U.K. real Exchange Rate," Working Papers 96-14, University of Washington, Department of Economics.
- Engel, C. & Kim, C.J., 1996. "The Long-Run U.S./U.K. real Exchange Rate," Discussion Papers in Economics at the University of Washington 96-14, Department of Economics at the University of Washington.
- Jushan Bai, 1997. "Estimation Of A Change Point In Multiple Regression Models," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 551-563, November.
- Charles Engel & Craig S. Hakkio, 1996.
"The Distribution of Exchange Rates in the EMS,"
NBER Working Papers
4834, National Bureau of Economic Research, Inc.
- Donald W.K. Andrews, 1990.
"Tests for Parameter Instability and Structural Change with Unknown Change Point,"
Cowles Foundation Discussion Papers
943, Cowles Foundation for Research in Economics, Yale University.
- Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA).
If references are entirely missing, you can add them using this form.