Lecture 11 - Data validation and diagnostics, outlier detection and treatment

After providing a general overview of the problems that arise when survey data are collected in the field and processed by National Statistical Offices, the lecture focuses on outliers (i.e. extreme values), which tend to be a recurring issue for income and wealth data. The goal of this lecture is to provide a conceptual framework and some techniques to detect and treat outliers.