door.donau-uni.ac.at o:5685 DOI 10.48341/g31s-vq79-05 Innovations in methodological approaches to estimate irregular migrant stocks and flows Key points • This chapter builds on Rodríguez-Sánchez and Tjaden (2023), who reviewed the main methods for estimating irregular migrant stocks and flows, spanning both established and more experimental approaches. • Measuring irregular migration remains a fundamental challenge: the population is difficult to observe, and even widely used methods such as residual estimation or capture–recapture provide only partial pictures. • Traditional techniques continue to form the backbone of the field, but improvements have often come from incremental innovations, such as using mortality data to refine life-course approaches, or expanding residual methods with large government databases and machine learning. • More novel directions, such as exploiting consular registers, driver’s licence data, or online search behaviour, show promise in filling gaps, though these remain context-specific and experimental. eng Estimation methods Irregular migration stocks and flows Innovative data sources 2025-09-30T07:36:51.593Z LOMv1.0 Author BEGIN:VCARD VERSION:3.0 N:Rodríguez-Sánchez;Alejandra; FN:Alejandra Rodríguez-Sánchez END:VCARD BEGIN:VCARD VERSION:3.0 N:Tjaden;Jasper; FN:Jasper Tjaden X-ORCID:https://orcid.org/0000-0002-5054-3535 END:VCARD https://w3id.org/kim/hcrt/scheme https://w3id.org/kim/hcrt/text Textdokument Text LOMv1.0 yes https://creativecommons.org/licenses/by-nc/4.0 application/pdf 1559893 https://door.donau-uni.ac.at/o:5685 https://door.donau-uni.ac.at/api/object/o:5685/thumbnail LOMv1.0 discipline