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Title:Can we test for bias in scientific peer-review? PDF Logo
Authors:Oswald, Andrew J.
Issue Date:2008
Series/Report no.:IZA Discussion Papers 3665
Abstract: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.
Subjects:Discrimination
citations
science
peer-review system
JEL:H8
Persistent Identifier of the first edition:urn:nbn:de:101:1-2008090165
Document Type:Working Paper
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

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