A Noncooperative Model of Contest Network Formation
Kenan Huremović
Papers from arXiv.org
Abstract:
In this paper we study a model of weighted network formation. The bilateral interaction is modeled as a Tullock contest game with the possibility of a draw. We describe stable networks under different concepts of stability. We show that a Nash stable network is either the empty network or the complete network. The complete network is not immune to bilateral deviations. When we allow for limited farsightedness, stable networks immune to bilateral deviations must be complete $M$-partite networks, with partitions of different sizes. The empty network is the efficient network. We provide several comparative statics results illustrating the importance of network structure in mediating the effects of shocks and interventions. In particular, we show that an increase in the likelihood of a draw has a non-monotonic effect on the level of wasteful contest spending in the society. To the best of our knowledge, this paper is the first attempt to model weighted network formation when the actions of individuals are neither strategic complements nor strategic substitutes.
Date: 2019-01, Revised 2020-05
New Economics Papers: this item is included in nep-cse and nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://arxiv.org/pdf/1901.07605 Latest version (application/pdf)
Related works:
Journal Article: A noncooperative model of contest network formation (2021) 
Working Paper: A Noncooperative Model of Contest Network Formation (2016) 
Working Paper: A Noncooperative Model of Contest Network Formation (2015) 
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:arx:papers:1901.07605
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().