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.