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Cited by 237

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Interdependence in Comparative Politics: Substance, Theory, Empirics, Substance

Franzese, Robert J., Hays, Jude C.·2008·Comparative Political Studies

Abstract

Interdependence is ubiquitous and often central across comparative politics. Indeed, as the authors show first, theoretically, any situation involving externalities from one unit's actions on others' implies interdependence. Positive or negative externalities induce negative or positive interdependence, which spurs competitive races or free riding, with corresponding early or late-mover advantages, and thus strategic rush to act or delay and inaction. The authors show next how to model interdependent processes empirically, how not doing so risks omitted-variable biases favoring domestic and exogenous-external accounts over interdependence, but how doing so naïvely risks simultaneity biases with the opposite substantive implications. They then discuss how to estimate properly specified interdependence models and, finally, how to interpret and present estimated spatio-temporally dynamic effects, response paths, and long-run steady-states, with associated standard errors. They illustrate by replicating a noteworthy earlier, nonspatial study of capital tax competition. Web appendices contain further technical details, literature survey, data, statistical software code, and spreadsheet templates for all suggested procedures.

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Metadata

Authors
Franzese, R. J., & Hays, J. C.
Venue
Comparative Political Studies
Published
2008-04
Volume
41
Issue
4-5
Pages
742-780
ISSN
  • 0010-4140 (ISSN-L)
  • 1552-3829
OpenAlex
W3121892825
Cited by
237
References
2
FWCI
34.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interdependence in Comparative Politics: Substance, Theory, Empirics, Substance. https://app.cochat.ai/papers/10.1177/0010414007313122
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Franzese, R. J., & Hays, J. C. (2008). Interdependence in Comparative Politics: Substance, Theory, Empirics, Substance. Comparative Political Studies. https://doi.org/10.1177/0010414007313122

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