A specific use of big data in official statistics to estimate underreporting bias is demonstrated. However, this method is not limited to official statistics but can also be used in other disciplines, such as social sciences. The method presented applies to any validation study, where survey, administrative, and sensor data (or any other external big data source) can be linked on a micro-level using a unique identifier. This research is a new example of multi-source statistics, a promising approach to improve the benefits of sensor data in the field of official statistics.
Klingwort, J. (2020). Correcting survey measurement error with big data from road sensors through capture-recapture. Dissertation, University of Duisburg-Essen, doi:10.17185/duepublico/72081.