The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Conflict without Misperceptions or Incomplete Information: How the Future Matters
Abstract
Conflict and war are typically viewed as the outcome of misperceptions, incomplete information, or even irrationality. The authors show that it can be otherwise. Despite the short-run incentives to settle disputes peacefully, there can be long-term, compounding rewards to going to war when doing better relative to one's opponent today implies doing better tomorrow. Peaceful settlement involves not only sharing the pie available today but also foregoing the possibility, brought about by war, of gaining a permanent advantage over one's opponent into the future. The authors show how war emerges as an equilibrium outcome in a model that takes these considerations into account. War is more likely to occur, the more important is the future.
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Cites
Axelrod, R., & Hamilton, W. D. (1981) · Science · doi:10.1126/science.7466396 · Cited by 20,065
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The Costs and Benefits of Ownership: A Theory of Vertical and Lateral Integration
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Toward a Theory of the Rent-Seeking Society
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Conflict and rent-seeking success functions: Ratio vs. difference models of relative success
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The International spread of ethnic conflict: fear, diffusion, and escalation
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Cited by
Powell, R. (2006) · International Organization · doi:10.1017/s0020818306060061 · Cited by 585
Chassang, S., & Miquel, G. P. I. (2009) · Quarterly Journal of Political Science · doi:10.1561/100.00008072 · Cited by 194
Metadata
- Authors
- Garfinkel, M. R., & Skaperdas, S.
- Venue
- Journal of Conflict Resolution
- Publisher
- SAGE Publications
- Published
- 2000-12
- Volume
- 44
- Issue
- 6
- Pages
- 793-807
- ISSN
- 0022-0027 (ISSN-L)
- 1552-8766
- OpenAlex
- W1591432087
- Cited by
- 275
- References
- 17
- FWCI
- 12.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
