The 'Pre-Eminence of Theory' versus the 'General-to-Specific' Cointegrated VAR Perspectives in Macro-Econometric Modeling
The primary aim of the paper is to place current methodological discussions on empirical modeling contrasting the 'theory first' versus the 'data first' perspectives in the context of a broader methodological framework with a view to constructively appraise them. In particular, the paper focuses on Colander?s argument in his paper ?Economists, Incentives, Judgement and Empirical Work? relating to the two different perspectives in Europe and the US that are currently dominating empirical macro-econometric modeling and delves deeper into their methodological/philosophical foundations. It is argued that the key to establishing a constructive dialogue between them is provided by a better understanding of the role of data in modern statistical inference, and how that relates to the centuries old issue of the realisticness of economic theories.
|Date of creation:||2008|
|Date of revision:|
|Contact details of provider:|| Postal: Kiellinie 66, D-24105 Kiel|
Phone: +49 431 8814-1
Fax: +49 431 8814528
Web page: http://www.economics-ejournal.org/
More information through EDIRC
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.:
- Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, June.
- Dave Colander, 2008.
"Economists, Incentives, Judgement and Empirical Work,"
Middlebury College Working Paper Series
0806, Middlebury College, Department of Economics.
- Colander, David C., 2008. "Economists, Incentives, Judgment, and Empirical Work," Economics Discussion Papers 2008-12, Kiel Institute for the World Economy (IfW).
- Hendry, David F., 2003. "J. Denis Sargan And The Origins Of Lse Econometric Methodology," Econometric Theory, Cambridge University Press, vol. 19(03), pages 457-480, June.
- Peter N. Ireland, 1999.
"A Method for Taking Models to the Data,"
Boston College Working Papers in Economics
421, Boston College Department of Economics.
- Peter Ireland, 1999. "Matlab code for A Method for Taking Models to the Data," QM&RBC Codes 46, Quantitative Macroeconomics & Real Business Cycles.
- Peter Ireland, 1999. "A Method for Taking Models to the Data," Computing in Economics and Finance 1999 1233, Society for Computational Economics.
- Peter N. Ireland, 1999. "A method for taking models to the data," Working Paper 9903, Federal Reserve Bank of Cleveland.
- Aris Spanos, 2001. "Revisiting data mining: 'hunting' with or without a license," Journal of Economic Methodology, Taylor & Francis Journals, vol. 7(2), pages 231-264.
- Aris Spanos, 2006. "Revisiting the omitted variables argument: Substantive vs. statistical adequacy," Journal of Economic Methodology, Taylor & Francis Journals, vol. 13(2), pages 179-218.
- Spanos, Aris, 1990. "The simultaneous-equations model revisited : Statistical adequacy and identification," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 87-105.
- Finn E. Kydland & Edward C. Prescott, 1990.
"The econometrics of the general equilibrium approach to business cycles,"
130, Federal Reserve Bank of Minneapolis.
- Kydland, Finn E & Prescott, Edward C, 1991. " The Econometrics of the General Equilibrium Approach to Business Cycles," Scandinavian Journal of Economics, Wiley Blackwell, vol. 93(2), pages 161-78.
- Spanos, Aris, 1995. "On theory testing in econometrics : Modeling with nonexperimental data," Journal of Econometrics, Elsevier, vol. 67(1), pages 189-226, May.
When requesting a correction, please mention this item's handle: RePEc:zbw:ifwedp:7336. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics)
If references are entirely missing, you can add them using this form.