# In OLS regression, when the assumption of normally distributed residuals is rejected, is bootstrap (and block bootstrap) the way to deal with it?

In OLS regression, when the assumption of normally distributed residuals is rejected, is bootstrap (and block bootstrap) the way to deal with it?

Is this the right way to go or non-normally distributed residuals should be handled differently?