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Can We Test for Bias in Scientific Peer-Review? Author info | Abstract | Publisher info | Download info | Related research | Statistics Oswald, Andrew J. () (University of Warwick)
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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.
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
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Length: 27 pages
Date of creation: Aug 2008Date of revision:
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Keywords: discrimination ; citations ; science ; peer-review system ; Other versions of this item:
Find related papers by JEL classification: H8 - Public Economics - - Miscellaneous Issues
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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.: Claudia Goldin & Cecilia Rouse, 2000.
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references Cited by : (explanations , 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.)
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