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I recently ran two regressions, one clustering around the states from my data and the other without clustering. Both have fixed time effects. I've noticed that the standard errors for my main coefficients under observation are much larger than the standard errors from my unclustered regression. Is there a reason for this difference (the clustered std errors are about twice as big) and could it be an effect of serial correlation?

Thanks!

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# Clustered Std Errs vs Unclustered

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