ABSTRACT
This chapter describes some lines on the connections between the statistical matching problem and a research problem developed independently. It explains to the notion of uncertainty in the statistical matching framework. One of the long-debated applications of statistical matching is in the framework of household-level data on income and expenditure, widely used by policy makers to provide insights into a number of areas. Furthermore, additional questions arise, as for the possible use of statistical matching techniques when big data are available. A unified framework for the parametric and non-parametric approaches in analysing uncertainty in statistical matching. Statistical matching is a problem that is going to become ubiquitous as long as different data sources start to share a common metadata framework, and in a unique place it is possible to see data that neither has been jointly observed nor can be linked by unit identifiers.
