The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Strategic Interaction and Networks
Abstract
Geography and social links shape economic interactions. In industries, schools, and markets, the entire network determines outcomes. This paper analyzes a large class of games and obtains a striking result. Equilibria depend on a single network measure: the lowest eigenvalue. This paper is the first to uncover the importance of the lowest eigenvalue to economic and social outcomes. It captures how much the network amplifies agents' actions. The paper combines new tools—potential games, optimization, and spectral graph theory—to solve for all Nash and stable equilibria and applies the results to R&D, crime, and the econometrics of peer effects. (JEL C72, D83, D85, H41, K42, O33, Z13)
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Cites
Learning about a New Technology: Pineapple in Ghana
Conley, T. G., & Udry, C. R. (2010) · American Economic Review · doi:10.1257/aer.100.1.35 · Cited by 2,180
Learning by doing and learning from others: Human capital and technical change in agriculture
Foster, A. D., & Rosenzweig, M. R. (1995) · Journal of Political Economy · doi:10.1086/601447 · Cited by 2,038
Cited by
State Capacity and Economic Development: A Network Approach
Acemoglu, D., García-Jimeno, C., & Robinson, J. A. (2015) · American Economic Review · doi:10.1257/aer.20140044 · Cited by 394
A Passivity-Based Approach to Nash Equilibrium Seeking Over Networks
Gadjov, D., & Pavel, L. (2019) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2833140 · Cited by 339
Distributed Nash equilibrium seeking: A gossip-based algorithm
Salehisadaghiani, F., & Pavel, L. (2016) · Automatica · doi:10.1016/j.automatica.2016.06.004 · Cited by 309
Metadata
- Authors
- Bramoullé, Y., Kranton, R., & D'Amours, M.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2014-03-01
- Volume
- 104
- Issue
- 3
- Pages
- 898-930
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3090497192
- Cited by
- 467
- References
- 2
- FWCI
- 58.32
- 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.
