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Cited by 179

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Causal Complexity and the Study of Politics

Braumoeller, Bear F.·2003·Political Analysis
DOI 10.1093/pan/mpg012
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Abstract

Theories that posit complex causation, or multiple causal paths, pervade the study of politics but have yet to find accurate statistical expression. To remedy this situation I derive new econometric procedures, Boolean probit and logit, based on the logic of complexity. The solution provides an answer to a puzzle in the rational deterrence literature: the divergence between theory and case-study findings, on the one hand, and the findings of quantitative studies, on the other, on the issue of the role of capabilities and willingness in the initiation of disputes. It also makes the case that different methodological traditions, rather than settling into “separate but equal” status, can instead inform and enrich one another.

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Metadata

Authors
Braumoeller, B. F.
Venue
Political Analysis
Publisher
Cambridge University Press (CUP)
Published
2003
Volume
11
Issue
3
Pages
209-233
ISSN
  • 1047-1987 (ISSN-L)
  • 1476-4989
DOI
10.1093/pan/mpg012
OpenAlex
W2057492985
Cited by
179
References
6
FWCI
34.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Causal Complexity and the Study of Politics. https://app.cochat.ai/papers/10.1093/pan/mpg012
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Braumoeller, B. F. (2003). Causal Complexity and the Study of Politics. Political Analysis. https://doi.org/10.1093/pan/mpg012

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.