Attrition generally will not lead to bias because OLS simply deletes these observations from the sample.

Question

Quizplus · Accepted Answer

Attrition can lead to bias in the sample if the missing data are systematically different from the non-missing data on the outcome or predictor variables. Deleting observations simply ignores this bias rather than correcting for it, potentially leading to invalid conclusions. Alternative approaches such as imputation or weighting can help address this issue.

Attrition Generally Will Not Lead to Bias Because OLS Simply