Statistical journal of the IAOS | 2019
Statistical learning in official statistics: The case of statistical matching
Abstract
National Statistical offices are facing the challenge of modernizing their statistical production processes, beyond traditional sample surveys and censuses, so as to exploit all available data provided by administrative registers and big data. Taking advantage of large data sources requires adoption of modern statistical methods, as those based on machine learning. In addition, availability of different data sources on the same phenomena poses the challenge of integrating them for producing a wider set of statistical outputs so as to satisfy users’ request. This work will show how statistical learning methods can be beneficial in integrating data.