EconPapers    
Economics at your fingertips  
 

Skill, status and the Matthew effect: a theoretical framework

Mikael Bask ()
Additional contact information
Mikael Bask: Uppsala University

Journal of Computational Social Science, 2024, vol. 7, issue 3, No 1, 2253 pages

Abstract: Abstract To gain a deeper understanding of the Matthew effect in academic recognition among researchers, three social influence models of status hierarchies in the form of agent-based models are presented, where the positivity of the Lyapunov characteristic exponent is the quantitative operationalization of the Matthew effect. We find that the Matthew effect in status attribution is a generic property of the social influence model where skills depend on status (28.1% of all examined parameterizations) twice as often as in the model with constant skills (14.1%) and that the Matthew effect is a generic property of the model where skills depend on previous skills (43.0%) trice as often as in the model with constant skills. Hence, if one argues in favor of a meritocratic system in which research grants are awarded based on researchers’ skills rather than their status in the scientific community, and if grant-providing bodies also adhere to this principle, there is a higher probability of observing the Matthew effect in academic recognition among researchers. Employing the Lyapunov characteristic exponent to investigate the presence of the Matthew effect in a theoretical model is novel in the literature.

Keywords: Cumulative advantage; Cumulative disadvantage; Inequality; Matthew effect; Skill; Status (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s42001-024-00298-z 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:spr:jcsosc:v:7:y:2024:i:3:d:10.1007_s42001-024-00298-z

Ordering information: This journal article can be ordered from
http://www.springer. ... iences/journal/42001

DOI: 10.1007/s42001-024-00298-z

Access Statistics for this article

Journal of Computational Social Science is currently edited by Takashi Kamihigashi

More articles in Journal of Computational Social Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jcsosc:v:7:y:2024:i:3:d:10.1007_s42001-024-00298-z