Arbeitsbereich

Migration und Mobilität

Auf einen Blick Projekte Publikationen Team

Projekt

Combining Digital Trace Data and Representative Surveys to Estimate and Predict Migration Stocks and Flows

Maciej Danko, Emilio Zagheni, Jisu Kim; in Zusammenarbeit mit Francesco Rampazzo (University of Oxford, Vereinigtes Königreich von Großbritannien und Nordirland), Ingmar Weber (Saarland University, Saarbrücken, Deutschland), Lee Fiorio, Jonathan Wakefield (beide: University of Washington, Seattle, Vereinigte Staaten), Jakub Bijak (University of Southampton, Vereinigtes Königreich von Großbritannien und Nordirland), Agnese Vitali (University of Trento, Italien), Yuan Hsiao (University of Washington, Seattle, Vereinigte Staaten), Monica Alexander (University of Toronto, Kanada)

We develop sound statistical frameworks for combining the timeliness of digital trace data and the representativeness of traditional sources in order to estimate and nowcast migration stocks and flows.  Ausführliche Beschreibung

Die Infografik beschreibt die Struktur eines Rahmens zur Schätzung der Migrantenbestände anhand digitaler Spuren und Erhebungsdaten

Based on the paper by Francesco Rampazzo, Jakub Bijak, Agnese Vitali, Ingmar Weber, Emilio Zagheni: A Framework for Estimating Migrant Stocks Using Digital Traces and Survey Data: An Application in the United Kingdom. Demography 1 December 2021. © MPIDR

Publikationen

Dańko, M. J.; Rampazzo, F.; Donzowa, J.; Kim, J.; Zagheni, E.:

Assessing bias in migration stock estimates from Facebook and Instagram using a social media-based survey

MPIDR Technical Report TR-2026-001. (2026)    

Rampazzo, F.; Bijak, J.; Vitali, A.; Weber, I. G.; Zagheni, E.:

Assessing timely migration trends through digital traces: a case study of the UK before Brexit

International Migration Review 59:1, 119–140. (2025)    

Yildiz, D.; Wiśniowski, A.; Abel, G. J.; Weber, I. G.; Zagheni, E.; Gendronneau, C.; Hoorens, S.:

Integrating traditional and social media data to predict bilateral migrant stocks in the European Union

International Migration Review 59:1, 90–118. (2025)    

Hsiao, Y.; Fiorio, L.; Wakefield, J.; Zagheni, E.:

Modeling the bias of digital data: an approach to combining digital with official statistics to estimate and predict migration trends

Sociological Methods and Research 53:4, 1905–1943. (2024)    

Alexander, M. J.; Polimis, K.; Zagheni, E.:

Combining social media and survey data to nowcast migrant stocks in the United States

Population Research and Policy Review 41:1, 1–28. (2022)    

Rampazzo, F.; Bijak, J.; Vitali, A.; Weber, I. G.; Zagheni, E.:

A framework for estimating migrant stocks using digital traces and survey data: an application in the United Kingdom

Demography 85:6, 2193–2218. (2021)    

Alexander, M. J.; Polimis, K.; Zagheni, E.:

Combining social media and survey data to nowcast migrant stocks in the United States

arXiv e-prints 2003.02895. unpublished. (2020)    

Hsiao, Y.; Fiorio, L.; Wakefield, J.; Zagheni, E.:

Modeling the bias of digital data: an approach to combining digital and survey data to estimate and predict migration trends

MPIDR Working Paper WP-2020-019. (2020)