Evolution of social norms with heterogeneous preferences: A general model and an application to the academic review process

Ofer Azar

MPRA Paper from University Library of Munich, Germany

Abstract: The article presents a model of social norm evolution, which suggests how the increase in optimal and actual first response times (FRT) of economics journals can be related. When the optimal FRT and the norm about how much time refereeing should take increase, it seems that the existence of a norm increases the average refereeing time. The model suggests the surprising result that this is not necessarily true. I also discuss applications of the model in other contexts, differences in the optimal FRT between disciplines, the effects of the FRT on the tenure process, and strategic behavior of referees.

Keywords: social norms; evolution; first response times; refereeing; academic publishing; turnaround times; journals; review process (search for similar items in EconPapers)
JEL-codes: A10 A14 I23 L82 Z13 (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/4482/1/MPRA_paper_4482.pdf original version (application/pdf)

Related works:
Journal Article: Evolution of social norms with heterogeneous preferences: A general model and an application to the academic review process (2008)
Working Paper: Evolution of Social Norms with Heterogeneous Preferences: A General Model and an Application to the Academic Review Process (2006)
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:pra:mprapa:4482

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().