D-separation, forecasting, and economic science: a conjecture
AbstractNo abstract is available for this item.
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 InfoArticle provided by Springer in its journal Theory and Decision.
Volume (Year): 73 (2012)
Issue (Month): 2 (August)
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100341
Model choice; Artificial intelligence; Forecast; B41; C45; C53;
Find related papers by JEL classification:
- B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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.:
- Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-59, April.
- Clive W. J. Granger, 2005. "Modeling, Evaluation, and Methodology in the New Century," Economic Inquiry, Western Economic Association International, vol. 43(1), pages 1-12, January.
- Chong, Yock Y & Hendry, David F, 1986. "Econometric Evaluation of Linear Macro-Economic Models," Review of Economic Studies, Wiley Blackwell, vol. 53(4), pages 671-90, August.
- Clark, Todd E. & McCracken, Michael W., 2001.
"Tests of equal forecast accuracy and encompassing for nested models,"
Journal of Econometrics,
Elsevier, vol. 105(1), pages 85-110, November.
- Todd E. Clark & Michael McCracken, 1999. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Computing in Economics and Finance 1999 1241, Society for Computational Economics.
- Todd E. Clark & Michael W. McCracken, 1999. "Tests of equal forecast accuracy and encompassing for nested models," Research Working Paper 99-11, Federal Reserve Bank of Kansas City.
- Todd E. Clark & Michael W. McCracken, 2000. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Econometric Society World Congress 2000 Contributed Papers 0319, Econometric Society.
- Bessler, David A. & Brandt, Jon A., 1992. "An analysis of forecasts of livestock prices," Journal of Economic Behavior & Organization, Elsevier, vol. 18(2), pages 249-263, July.
- David Harvey & Paul Newbold, 2000. "Tests for multiple forecast encompassing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 471-482.
- Henry L. Bryant & David A. Bessler & Michael S. Haigh, 2009.
"Disproving Causal Relationships Using Observational Data,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 71(3), pages 357-374, 06.
- Bryant, Henry L. & Bessler, David A. & Haigh, Michael S., 2006. "Disproving Causal Relationships Using Observational Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21166, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Clements,Michael & Hendry,David, 1998.
"Forecasting Economic Time Series,"
Cambridge University Press, number 9780521634809, April.
- Andrew Rettenmaier & Zijun Wang, 2013. "What determines health: a causal analysis using county level data," The European Journal of Health Economics, Springer, vol. 14(5), pages 821-834, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.