The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Reputation and Interstate Conflict
Abstract
In international politics, states learn from the behavior of other nations, including the reputations states form through their actions in the international system. This article presents a model of how states process this information and examines how this learning affects international conflict. The model builds off of cognitive balance theory and foreign policy learning models and breaks new ground in its ability to provide a contextual assessment of reputation in world politics. The article then investigates whether a dyad is more likely to experience conflict if at least one state has a reputation for hostility. This hypothesis is tested empirically across all dyads in the international system from 1817 to 2000. The results indicate that states do engage in this learning behavior and that the information generated by extra‐dyadic interaction of states has a significant bearing upon the likelihood of dyadic conflict.
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Cites
What To Do (and Not to Do) with Time-Series Cross-Section Data
Beck, N., & Katz, J. N. (1995) · American Political Science Review · doi:10.2307/2082979 · Cited by 6,840
Perception and Misperception in International Politics
Jervis, R. (2017) · doi:10.1515/9781400885114 · Cited by 3,199
Analysis of Multivariate Survival Data
Hougaard, P. (2000) · Statistics for Biology and Health · doi:10.1007/978-1-4612-1304-8 · Cited by 1,458
The Phantom Menace: Omitted Variable Bias in Econometric Research
Clarke, K. A. (2005) · Conflict Management and Peace Science · doi:10.1080/07388940500339183 · Cited by 484
Cited by
Building a Conceptual Approach to Collective Learning: Lessons for Public Policy Scholars
Heikkila, T., & Gerlak, A. K. (2013) · Policy Studies Journal · doi:10.1111/psj.12026 · Cited by 440
Metadata
- Authors
- Crescenzi, M. J. C.
- Venue
- American Journal of Political Science
- Publisher
- Wiley
- Published
- 2007-03-22
- Volume
- 51
- Issue
- 2
- Pages
- 382-396
- ISSN
- 0092-5853 (ISSN-L)
- 1540-5907
- OpenAlex
- W2059421956
- Cited by
- 174
- References
- 4
- FWCI
- 35.51
- Type
- journal article
- Language
- en
- Open access
- closed
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