The answer above suggests dividing the coefficient of interest by the residual standard error. I was wondering how to obtain the RSE in an lm_robust object. I cannot seem to retrieve residuals using the normal operators.

Awesome! Thanks Jasper. No application in particular – I have a significant coefficient on my treatment effect, but colleagues wanted to know if that effect was meaningful in some sense.

That makes total sense. I’ve always reported (regression-adjusted) effect sizes in terms of standard deviations of the unadjusted outcome in order to convey meaningfulness (e.g., this is equivalent to a 1/5 SD increase in the outcome). But I could see an argument for using the residual SD – if your regression’s doing well, it’s certainly going to be a bigger number!