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A Citation-Based Test for Discrimination at Economics and Finance Journals

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Author Info
Scott Smart
Joel Waldfogel

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Abstract

Discrimination is notoriously difficult to document. Convincing tests for discrimination require good measures of the legitimate determinants of the outcome of interest, for example wages and productivity. While few contexts provide data adequate to the task of measuring discrimination, copious bibliographic data on the impact of academic research make possible tests of discrimination in the editorial process. This study develops a test for possible bias þ with respect to author gender, prestige of author's institution, article content (theory vs. empiricism), and whether the author has ties to the editor þ using a new approach based on an analysis of citations. We treat citations as a measure of article quality and ask whether papers by certain groups receive systematically different numbers of citations. The key to our approach is the observation that editors do not simply accept or reject papers. For accepted papers, editors determine articles' order within journal issue and length based on their quality assessments. We show that these 'editorial treatment' decisions are highly correlated with citations. Thus, we infer bias against a particular group of authors if their published articles have more citations, conditional editorial treatment, than other articles. Surprisingly, we document systematic editorial bias in favor of authors located outside of top institutions.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 5460.

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Date of creation: Feb 1996
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Handle: RePEc:nbr:nberwo:5460

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Find related papers by JEL classification:
J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
K31 - Law and Economics - - Other Substantive Areas of Law - - - Labor Law

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.:

  1. Becker, Gary S, 1993. "Nobel Lecture: The Economic Way of Looking at Behavior," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 385-409, June. [Downloadable!] (restricted)
  2. Ferguson, Michael F & Peters, Stephen R, 1995. " What Constitutes Evidence of Discrimination in Lending?," Journal of Finance, American Finance Association, vol. 50(2), pages 739-48, June. [Downloadable!] (restricted)
  3. Lawrence M. Kahn, 1991. "Discrimination in professional sports: A survey of the literature," Industrial and Labor Relations Review, ILR Review, ILR School, Cornell University, vol. 44(3), pages 395-418, April.
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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.)

  1. Arjo Klamer & Hendrik P. van Dalen, 2001. "Attention and the Art of Scientific Publishing," Tinbergen Institute Discussion Papers 01-022/1, Tinbergen Institute. [Downloadable!]
    Other versions:
  2. Oswald, Andrew J., 2009. "World-Leading Research and its Measurement," The Warwick Economics Research Paper Series (TWERPS) 887, University of Warwick, Department of Economics. [Downloadable!]
  3. Oswald, Andrew J., 2008. "Can We Test for Bias in Scientific Peer-Review?," IZA Discussion Papers 3665, Institute for the Study of Labor (IZA). [Downloadable!]
  4. Stremersch, S. & Verniers, I. & Verhoef, P.C., 2006. "The Quest for Citations: Drivers of Article Impact," Research Paper ERS-2006-061-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
    Other versions:
  5. Oswald, Andrew J., 2009. "A Suggested Method for the Measurement of World-Leading Research (Illustrated with Data on Economics)," IZA Discussion Papers 4313, Institute for the Study of Labor (IZA). [Downloadable!]
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