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Research Design and Estimator Choices in the Analysis of Interstate Dyads

When Decisions Matter

Bibliographic Data

ID6284349
AuthorsD Scott Bennett (Pennsylvania State University), Allan C Stam (Dartmouth College), Allan Stam (0000-0002-2533-9495, Dartmouth College)
Year2000
Volume44
Issue5
Pages653-685
Publication date2000-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Conflict Resolution (JOURNAL)
Journal identifiersISSN: 0022-0027 • E-ISSN: 1552-8766
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022002700044005005
OpenAlexW2098497489
LanguageEN
Citations received104
References cited31

Researchers face three basic questions when testing theoretically driven hypotheses. First is research design: for example, what population should be analyzed, what sample should be drawn from that population, and what cases should be excluded from the sample? What statistical estimator should one use? What set of control variables should one employ? Results drawn from several permutations of the Correlates of War Militarized Interstate Dispute data set are compared using three statistical models. For some theories and variables (international institutionalism—intergovernmental organization and alliance membership; realism—balance of power; expected utility theory—international interaction game equilibria), research design and estimator choices substantially influence the findings. For others (trade and democratic peace theory), the relationship between the dependent and independent variables is relatively impervious to research design and estimator choices

Econometrics · Economics · Estimator · Population · Research design · Sample (material · Sociology · Statistics · Variables · Defense, Military, and Policy Studies · International Relations and Foreign Policy · Mathematics · Political Conflict and Governance · Psychology · Social Psychology

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Unique citing works104
Citations per year4
Citation span2000 - 2026 (27)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 103

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