Can we test for bias in scientific peer-review?
Oswald, Andrew J. (2008) Can we test for bias in scientific peer-review? Discussion Paper. Bonn, Germany: Institute for the Study of Labor (IZA). IZA Discussion Papers (No.3665). (Unpublished)Full text not available from this repository.
Official URL: http://ftp.iza.org/dp3665.pdf
Science rests upon the reliability of peer review. This paper suggests a way to test for bias. It is able to avoid the fallacy – one seen in the popular press and the research literature – that to measure discrimination it is sufficient to study averages within two populations. The paper’s contribution is primarily methodological, but I apply it, as an illustration, to data from the field of economics. No scientific bias or favoritism is found (although the Journal of Political Economy discriminates against its own Chicago authors). The test’s methodology is applicable in most scholarly disciplines.
|Item Type:||Working or Discussion Paper (Discussion Paper)|
|Subjects:||A General Works > AS Academies and learned societies (General)|
|Divisions:||Faculty of Social Sciences > Economics|
|Series Name:||IZA Discussion Papers|
|Publisher:||Institute for the Study of Labor (IZA)|
|Place of Publication:||Bonn, Germany|
|Official Date:||August 2008|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Open Access|
Actions (login required)