Author:
Green Donald P.,Kim Soo Yeon,Yoon David H.
Abstract
International relations scholars make frequent use of pooled cross-sectional regression in which N dyads over T time points are combined to create NT observations. Unless special conditions are met, these regressions produce biased estimates of regression coefficients and their standard errors. A survey of recent publications in international relations shows little attention to this issue. Using data from the period 1951–92, we examine the consequences of pooling for models of militarized disputes and bilateral trade. When pooled models are reestimated to allow for stable but unobserved differences among dyads, the results are altered in fundamental ways.
Publisher
Cambridge University Press (CUP)
Subject
Law,Organizational Behavior and Human Resource Management,Political Science and International Relations,Sociology and Political Science
Cited by
259 articles.
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1. Appendix;Positioning Women in Conflict Studies;2024-09-13
2. Women’s Inclusion and Political Violence;Positioning Women in Conflict Studies;2024-09-13
3. Solving the Concept Stretching Problem;Positioning Women in Conflict Studies;2024-09-13
4. Notes;Positioning Women in Conflict Studies;2024-09-13
5. Conclusion;Positioning Women in Conflict Studies;2024-09-13