Intertemporal Properties of Real Output: A Bayesian Analysis
AbstractThis paper analyzes the univariate properties of real output and extends traditional analyzes in three ways: (1) a Bayesian approach is taken; (2) extensive cross-country comparisons are performed; and (3) a model is developed which allows for the possibility that real output may be fractionally integrated. In addition, standard comparisons between ARIMA and deterministic trend models are made. The class of fractionally integrated processes, while possessing certain properties useful for generalization of ARIMA models, has received relatively little attention in the macroeconomic literature. Such models are valuable since they allow for greater flexibility in estimating the long-run persistence of shocks than do standard models.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 9 (1991)
Issue (Month): 3 (July)
Contact details of provider:
Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Koop, Gary & Ley, Eduardo & Osiewalski, Jacek & Steel, Mark F. J., 1997.
"Bayesian analysis of long memory and persistence using ARFIMA models,"
Journal of Econometrics,
Elsevier, vol. 76(1-2), pages 149-169.
- Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., . "Bayesian analysis of long memory and persistence using ARFIMA models," CORE Discussion Papers RP -1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gary Koop, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," Working Papers gkoop-95-01, University of Toronto, Department of Economics.
- KOOP , Gary & LEY , Eduardo & OSIEWALSKI , Jacek & STEEL , Mark, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," CORE Discussion Papers 1995035, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gary Koop & Eduardo Ley & Jacek Osiewalski & Mark F.J. Steel, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," Econometrics 9505001, EconWPA, revised 11 Jul 1995.
- Charley Xia and William Griffiths, 2012. "Bayesian Unit Root Testing: The Effect Of Choice Of Prior On Test Outcomes," Department of Economics - Working Papers Series 1152, The University of Melbourne.
- Gael Martin, 2001. "Bayesian Analysis Of A Fractional Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 217-234.
- Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.