Research design and estimator choices in the analysis of interstate dyads: When decisions matter

D. Scott Bennett, Allan C. Stam

Research output: Contribution to journalArticle

126 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)653-685
Number of pages33
JournalJournal of Conflict Resolution
Volume44
Issue number5
DOIs
StatePublished - Oct 2000

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Sociology and Political Science
  • Political Science and International Relations

Fingerprint Dive into the research topics of 'Research design and estimator choices in the analysis of interstate dyads: When decisions matter'. Together they form a unique fingerprint.

  • Cite this