On a General class of stochastic co-evolutionary dynamics

Mathias Staudigl ()
Additional contact information
Mathias Staudigl: https://econ.univie.ac.at

Vienna Economics Papers from University of Vienna, Department of Economics

Abstract: This paper presents a unified framework to study the co-evolution of networks and play, using the language of evolutionary game theory. We show by examples that the set-up is rich enough to encompass many recent models discussed by the literature. We completely characterize the invariant distribution of such processes and show how to calculate stochastically stable states by means of a tree characterization algorithm. Moreover, specializing the process a bit further allows us to completely characterize the generated random graph ensemble. This new result demonstrates a new and rather general relation between random graph theory and evolutionary models with endogenous interaction structures.

JEL-codes: C02 C45 C73 D85 (search for similar items in EconPapers)
Date: 2010-02
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://papersecon.univie.ac.at/RePEc/vie/viennp/vie1001.pdf (application/pdf)

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:vie:viennp:vie1001

Access Statistics for this paper

More papers in Vienna Economics Papers from University of Vienna, Department of Economics
Bibliographic data for series maintained by Paper Administrator ().