Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review

Mantas Radzvilas (), Francesco De Pretis (), William Peden (), Daniele Tortoli () and Barbara Osimani ()
Additional contact information
Mantas Radzvilas: University of Konstanz
Francesco De Pretis: University of Modena and Reggio Emilia
William Peden: Erasmus University Rotterdam
Daniele Tortoli: University of Modena and Reggio Emilia
Barbara Osimani: Marche Polytechnic University

Computational Economics, 2023, vol. 61, issue 4, No 5, 1433-1476

Abstract: Abstract Contemporary debates about scientific institutions and practice feature many proposed reforms. Most of these require increased efforts from scientists. But how do scientists’ incentives for effort interact? How can scientific institutions encourage scientists to invest effort in research? We explore these questions using a game-theoretic model of publication markets. We employ a base game between authors and reviewers, before assessing some of its tendencies by means of analysis and simulations. We compare how the effort expenditures of these groups interact in our model under a variety of settings, such as double-blind and open review systems. We make a number of findings, including that open review can increase the effort of authors in a range of circumstances and that these effects can manifest in a policy-relevant period of time. However, we find that open review’s impact on authors’ efforts is sensitive to the strength of several other influences.

Keywords: Agent-based model; Double-blind peer review; Evolutionary game theory; Open review; Publication markets; Simulation; 91A22; C63; C73; D47; D58 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10614-022-10250-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:61:y:2023:i:4:d:10.1007_s10614-022-10250-w

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-022-10250-w

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().