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Clustered standard errors represent the version of the general sandwich variance estimator that correct for (potential) grouping of the observations, e.g., repeated measurements clustered within an individual, or individuals clustered within a hierarchy level (geographical region, educational institution, etc.).
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Account for two levels of robust standard errors in school data
I am relatively new to Statistics and R, so please forgive my naive question. I have clustered school data and would like to employ matching followed by a regression. In the paper I read ("Matching Me …