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A Model of the Academic Review Process with Informed Authors

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  • Azar Ofer H.

    (Department of Business Administration, Ben-Gurion University of the Negev, Beer Sheva, Israel)

Abstract

Research on the academic review process may help to improve research productivity. The article presents a model of the review process in a top journal, in which authors know their paper’s quality whereas referees obtain a noisy signal about quality. Increased signal noisiness, lower submission costs and more published papers all reduce the average quality of published papers in the journal. The model allows analyzing how the submission cost, the accuracy of referees and the number of published papers affect additional equilibrium characteristics. Implications of the model for journal policies are also discussed.

Suggested Citation

  • Azar Ofer H., 2015. "A Model of the Academic Review Process with Informed Authors," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(2), pages 865-889, April.
    • Handle: RePEc:bpj:bejeap:v:15:y:2015:i:2:p:865-889:n:2
    DOI: 10.1515/bejeap-2013-0177
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    References listed on IDEAS

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    Cited by:

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    3. Giuseppe Pernagallo, 2023. "Science in the mist: A model of asymmetric information for the research market," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 390-415, May.
    4. Lawson, Nicholas, 2023. "What citation tests really tell us about bias in academic publishing," European Economic Review, Elsevier, vol. 158(C).

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