Relatore
Riccardo D’Alberto
Sommario
Non-parametric micro Statistical Matching imputation techniques, or the so-called “hot deck” methods, are commonly used to integrate data and overcome several issues, first of all, elementary data shortage.
These methods received an increasing attention in the last decade due to their flexible use and the computational advantages w.r.t. the parametric ones, but also because of the possibility they offer to avoid model misspecification bias. Further developments and theoretical advances concern new combinations of the existing techniques and not-default distance functions, the imputation goodness validation assessment, the study of the commonly accepted and applied “hot deck practical prescriptions”, etc.
This seminar will provide insights on non-parametric micro Statistical Matching, discussing the above-mentioned issues and methodological challenges. It will also cover an application example related to farm data, based on the integration of different farm data sources (both official statistics and a project survey).
Organizzazione
Daniela Cocchi