Replication data for: A Bootstrap Method for Conducting Statistical Inference with Clustered Data

This structure commonly produces unmodeled correlation within clusters, leading to downward bias in the standard errors of regression coefficients. Estimating robust cluster standard errors (RCSE) is a common approach to correcting this bias.

However, despite their frequent use, recent work indicates that RCSE can also be biased downward. Here I show evidence of that bias and offer a potential solution. Through Monte Carlo simulation of an Ordinary Least Squares (OLS) regression model, I compare conventional standard error (OLS-SE) and RCSE performance to that of a bootstrap method that resamples clusters of observations (BCSE).