TY - JOUR
T1 - Estimating between- and within-cluster covariate effects, with an application to models of international disputes
AU - Zorn, Christopher
N1 - Funding Information:
My thanks to David Davis, Eric Reinhart, Dani Reiter, Suzanne Werner, and the anonymous referees at International Interactions for helpful discussions, and to the John M. Olin Foundation for a Faculty Fellowship in support of this research. All remaining errors are my own. Data and Stata™ commands for replicating this analysis may be obtained at http://www.emory.edu/POLS/zorn/.
PY - 2001
Y1 - 2001
N2 - Students of international politics often use data in which the covariates vary both within and across units of observation. This is particularly true for dyadic data, which has come to dominate quantitative studies of international conflict, but is also a concern in any work involving a time-series cross-sectional component. Standard regression methods treat both types of covariates as equivalent with respect to their influence on the dependent variable, ignoring possible differences between cross-dyad and within-dyad effects. Here, I discuss the potential pitfalls of this approach, and show how between- and within-dyad effects can be separated and estimated. I then illustrate the approach in the context of a logistic regression, using data on international disputes.
AB - Students of international politics often use data in which the covariates vary both within and across units of observation. This is particularly true for dyadic data, which has come to dominate quantitative studies of international conflict, but is also a concern in any work involving a time-series cross-sectional component. Standard regression methods treat both types of covariates as equivalent with respect to their influence on the dependent variable, ignoring possible differences between cross-dyad and within-dyad effects. Here, I discuss the potential pitfalls of this approach, and show how between- and within-dyad effects can be separated and estimated. I then illustrate the approach in the context of a logistic regression, using data on international disputes.
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M3 - Article
AN - SCOPUS:0442303938
SN - 0305-0629
VL - 27
SP - 433
EP - 445
JO - International Interactions
JF - International Interactions
IS - 4
ER -