Some varieties of robustness
It is widely believed that robustness (of inferences, measurements, models, phenomena and relationships discovered in empirical investigation etc.) is a Good Thing. However, there are many different notions of robustness. These often differ both in their normative credentials and in the conditions that warrant their deployment. Failure to distinguish among these notions can result in the uncritical transfer of considerations which support one notion to contexts in which another notion is being deployed. This paper surveys several different notions of robustness and tries to identify why (and in what circumstances) each is valuable or appealing. I begin by discussing the notion of robustness addressed in Aldrich's paper (robustness as insensitivity of the results of inference to alternative specifications) and then discuss how this relates to robustness of derivations, robustness of measurement results, and robustness as a mark of casual as opposed to (merely) correlational relationships.
Volume (Year): 13 (2006)
Issue (Month): 2 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RJEC20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RJEC20|
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.:
- Kevin Hoover & Harris Dellas, 2003.
"Truth and Robustness in Cross-country Growth Regressions,"
11, University of California, Davis, Department of Economics.
- Kevin D. Hoover & Stephen J. Perez, 2004. "Truth and Robustness in Cross-country Growth Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(5), pages 765-798, December.
- Kevin D. Hoover & Stephen J. Perez, . "Truth and Robustness in Cross-country Growth Regressions," Department of Economics 01-01, California Davis - Department of Economics.
- Kevin Hoover & Stephen Perez, 2001. "Three attitudes towards data mining," Journal of Economic Methodology, Taylor & Francis Journals, vol. 7(2), pages 195-210.
- Edward E. Leamer, 1982.
"Let's Take the Con Out of Econometrics,"
UCLA Economics Working Papers
239, UCLA Department of Economics.
- Levine, Ross & Renelt, David, 1992.
"A Sensitivity Analysis of Cross-Country Growth Regressions,"
American Economic Review,
American Economic Association, vol. 82(4), pages 942-63, September.
- Levine, Ross & Renelt, David, 1991. "A sensitivity analysis of cross-country growth regressions," Policy Research Working Paper Series 609, The World Bank.
- Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-13, June.
- Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
When requesting a correction, please mention this item's handle: RePEc:taf:jecmet:v:13:y:2006:i:2:p:219-240. 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: (Michael McNulty)
If references are entirely missing, you can add them using this form.