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Lecture 12 - Outlier detection and treatment

This lecture follows up on Lecture 11 and extends the discussion on data validation and diagnostics. The goal is to provide a conceptual framework and some techniques to detect and treat outliers, which are commonly found in most datasets. The discussion focuses, in particular, on consumption expenditure.

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