Intregration of survey data and big data for finite population inference in Official Statistics: statistical challenges and practical applications

digital

Article

Magazine

Section

Title

Intregration of survey data and big data for finite population inference in Official Statistics: statistical challenges and practical applications

Authors

Gianpiero Bianchi, Alessandra Nurra, Paolo Righi, Mariagrazia Rinaldi

Publisher

Vita e Pensiero

Format

Article |

Pdf

Online from

11-2020

Doi

10.26350/999999_000025

Issn

1824-6672 (print) | 2283-6659 (digital)

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The Big Data expands the range of sources that have the potential to be used for Official Statistics and represents an effective reply to the declining response rates and the rising costs of conducting surveys, offering, in the meanwhile, potentially more timeliness and granular statistics. The use of these non-survey data sources generates a paradigm shift: from designed data to data-oriented or data-driven statistics. Therefore, it is necessary to determine under which conditions these sources make valid inference on the finite target population. Several statistical and quality frameworks on Big Data have this objective. Nevertheless, they are defined according to a general perspective. The paper aims to concretize these frameworks going into detail about the statistical tools to apply in each phase of the data generating process. Our proposed approach relies on combining information from multiple data sources with standard or innovative procedures and makes an integrated and coordinated use of the methods. A real example of the use of Big Data in Official Statistics shows how to create the conditions to define a process for obtaining accurate and consistent estimates.