Limits of Econometrics
In the social and behavioral sciences, far-reaching claims are often made for the superiority of advanced quantitative methods by those who manage to ignore the far-reaching assumptions behind the models. In section 2, we see there was considerable skepticism about disentangling causal processes by statistical modeling. Freedman (2005) examined several well-known modeling exercises, and discovered good reasons for skepticism. Some kinds of problems may yield to sophisticated statistical technique; others will not. The goal of empirical research is or should be to increase our understanding of the phenomena, rather than displaying our mastery of technique.
Volume (Year): 1 (2009)
Issue (Month): 1 (April)
|Contact details of provider:|| Postal: Sairler Sokak, No:32/C, Gaziosmanpasa, Ankara, Turkey|
Phone: + 90 312 447 51 95
Fax: + 90 312 447 51 95
Web page: http://www.era.org.tr/
More information through EDIRC
References listed on IDEAS
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.:
- Dewald, William G & Thursby, Jerry G & Anderson, Richard G, 1986. "Replication in Empirical Economics: The Journal of Money, Credit and Banking Project," American Economic Review, American Economic Association, vol. 76(4), pages 587-603, September.
- James L. Heckman, 1999.
"Causal Parameters and Policy Analysis in Economcs: A Twentieth Century Retrospective,"
NBER Working Papers
7333, National Bureau of Economic Research, Inc.
- James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 45-97.
- Joshua Angrist & Alan Krueger, 2001.
"Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments,"
834, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
- Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc.
- Steven Glazerman Dan Levy David Myers, 2003. "Nonexperimental Versus Experimental Estimates of Earnings Impacts," Mathematica Policy Research Reports 7c8bd68ac8db47caa57c70ee1, Mathematica Policy Research.
- J. R. Hicks, 1940. "A Comment," Review of Economic Studies, Oxford University Press, vol. 8(1), pages 64-65.
- Elizabeth Ty Wilde & Robinson Hollister, 2007. "How close is close enough? Evaluating propensity score matching using data from a class size reduction experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(3), pages 455-477.
- Pratt, John W. & Schlaifer, Robert, 1988. "On the interpretation and observation of laws," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 23-52.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Lomborg,Bjørn, 2001. "The Skeptical Environmentalist," Cambridge Books, Cambridge University Press, number 9780521010689, 1.
- William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 941-974.
When requesting a correction, please mention this item's handle: RePEc:erh:journl:v:1:y:2009:i:1:p:5-17. 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: (M. F. Cosar)
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.