Practical and Effective Approaches to Dealing With Clustered Data

Volume: 7, Issue: 3, Pages: 541 - 559
Published: Jan 19, 2018
Abstract
Cluster-robust standard errors (as implemented by the eponymous cluster option in Stata) can produce misleading inferences when the number of clusters G is small, even if the model is consistent and there are many observations in each cluster. Nevertheless, political scientists commonly employ this method in data sets with few clusters. The contributions of this paper are: (a) developing new and easy-to-use Stata and R packages that implement...
Paper Details
Title
Practical and Effective Approaches to Dealing With Clustered Data
Published Date
Jan 19, 2018
Volume
7
Issue
3
Pages
541 - 559
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