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Cited by 377

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

On the Complexities of Complex Economic Dynamics

Open access
Rosser, J. Barkley·1999·Journal of Economic Perspectives

Abstract

Complex economic nonlinear dynamics endogenously do not converge to a point, a limit cycle, or an explosion. Their study developed out of earlier studies of cybernetic, catastrophic, and chaotic systems. Complexity analysis stresses interactions among dispersed agents without a global controller, tangled hierarchies, adaptive learning, evolution, and novelty, and out-of-equilibrium dynamics. Complexity methods include interacting particle systems, self-organized criticality, and evolutionary game theory, to simulate artificial stock markets and other phenomena. Theoretically, bounded rationality replaces rational expectations. Complexity theory influences empirical methods and restructures policy debates.

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Metadata

Authors
Rosser, J. B.
Venue
Journal of Economic Perspectives
Published
1999-11-01
Volume
13
Issue
4
Pages
169-192
ISSN
0895-3309 (ISSN-L)
OpenAlex
W2086202190
Cited by
377
References
81
FWCI
17.43
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: On the Complexities of Complex Economic Dynamics. https://app.cochat.ai/papers/10.1257/jep.13.4.169
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Rosser, J. B. (1999). On the Complexities of Complex Economic Dynamics. Journal of Economic Perspectives. https://doi.org/10.1257/jep.13.4.169

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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.