"Inflated" Standard Errors

While what constitutes an "inflated" standard error remains contested, what is clear, however, is that there is no standard, "go-to," statistical "fix" for any "inflated" standard errors. As one commentator notes (see StataList discussion here), "they are what they are." Rather, a more helpful approach towards "inflated" standard errors is to assess what in the underlying data set (or model) might be driving the standard errors. The standard set of "usual suspects" includes, e.g., outliers in the data set, an "extreme" level of multicollinearity, or an "over-fit" model. (For more on "over-fitting" regression models, see here.)