| Sign In to gain access to subscriptions and/or personal tools. |
Comparing GEE and Robust Standard Errors for Conditionally Dependent DataUniversity of South Carolina In recent years political scientists have become increasingly sensitive to questions of conditional dependence in their data. I outline and compare two general, widely-used approaches for addressing such dependencerobust variance estimators and generalized estimating equations (GEEs)using data on votes in Supreme Court search and seizure decisions between 1963 and 1981. The results make clear that choices about the unit on which data are grouped, i.e., clustered, are typically of far greater significance than are decisions about which type estimator is used.
Political Research Quarterly, Vol. 59, No. 3,
329-341 (2006) This article has been cited by other articles:
|
|||||||||||||||||||||||||||||||||||||||||||||||||||



