Data Mining: A Reconsideration
AbstractBefore condemning data mining one should distinguish between objective and biased data mining. The former is commendable. Even biased data mining is appropriate when used to illustrate and not to test hypotheses. In the context of testing, the problem with biased data mining arises not from the fitting of many regression, but from inadequate reporting of results. The trend towards reporting the results of more alternative specifications, and thus addressing the fragility problem, should be encouraged. To do that the incentives that economists face should be changed.
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 InfoPaper provided by University of California, Davis, Department of Economics in its series Working Papers with number 9715.
Date of creation: 09 Jan 2003
Date of revision:
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- David Colander, 2000. "New Millennium Economics: How Did It Get This Way, and What Way Is It?," Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 121-132, Winter.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Scott Dyer).
If references are entirely missing, you can add them using this form.