In regression problem, one may transform the dependent variable to log space before fitting the model. And in some cases we would want to transform the prediction back to a normal scale.

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According to this discussion, it seems right to adjust the prediction by Duan’s Smearing Estimator or a general smearing adjustment after taking exp. But in practice, I do not see a lot of example which do such adjustment. Is the effect so small that people normally neglect it?