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Dirty Pool

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Author Info
Donald P. Green
Soo Yeon Kim
David H. Yoon
Abstract

International relations scholars make frequent use of pooled cross­sectional 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. © 2001 The IO Foundation and the Massachusetts Institute of Technology

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Article provided by MIT Press in its journal International Organization.

Volume (Year): 55 (2001)
Issue (Month): 2 (June)
Pages: 441-468
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:tpr:intorg:v:55:y:2001:i:2:p:441-468

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