Experiments of Quasi-Randomization Estimation for Official Statistics Based on Aggregated Mobile Network Operator Data

Despite the potentials of data from mobile network operators (MNOs), there exist no official statistics today that are produced from aggregated and anonymized mobile phone signaling data, which in principle are accessible in every country. In the lack of MNO data, we develop and conduct proof-of-concept experiments in Norway and Italy using statistical registers and sample survey data. Viable methods and potential complications are explored and analyzed, such that we are now prepared to negotiate access to MNO data for building the production solutions. Both the estimation methodology and our experimental approach to non-survey big data can be useful to others with similar statistical interests, whether the data arise from mobile phones, transactions, or other sources.

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Publication Details

Journal
Journal of Official Statistics
Published
2026-08-17
DOI
https://doi.org/10.1177/0282423x261460497
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00

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Experiments of Quasi-Randomization Estimation for Official Statistics Based on Aggregated Mobile Network Operator Data

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Journal of Official Statistics
Human Mobility and Location-Based Analysis
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Experiments of Quasi-Randomization Estimation for Official Statistics Based on Aggregated Mobile Network Operator Data

Marcello D’Orazio, Tiziana Tuoto, Johan Fosen, Li‐Chun Zhang, Jens Kristoffer Haug
article en

Abstract

Despite the potentials of data from mobile network operators (MNOs), there exist no official statistics today that are produced from aggregated and anonymized mobile phone signaling data, which in principle are accessible in every country. In the lack of MNO data, we develop and conduct proof-of-concept experiments in Norway and Italy using statistical registers and sample survey data. Viable methods and potential complications are explored and analyzed, such that we are now prepared to negotiate access to MNO data for building the production solutions. Both the estimation methodology and our experimental approach to non-survey big data can be useful to others with similar statistical interests, whether the data arise from mobile phones, transactions, or other sources.

Journal of Official Statistics
Statistics Norway (NO), Istituto Nazionale di Statistica (IT), University of Southampton (GB)
Eurostat
Partnerships for the goals
Openalex Percentile: Top 6%
Human Mobility and Location-Based Analysis
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