<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2025-09-30</dc:date>
  <dc:type xml:lang="ita">Testo</dc:type>
  <dc:type xml:lang="ita">Capitolo di libro</dc:type>
  <dc:description xml:lang="eng">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.</dc:description>
  <dc:subject xml:lang="eng">Estimation methods</dc:subject>
  <dc:subject xml:lang="eng">Irregular migration stocks and flows</dc:subject>
  <dc:subject xml:lang="eng">Innovative data sources</dc:subject>
  <dc:format>application/pdf</dc:format>
  <dc:creator>Alejandra Rodríguez-Sánchez</dc:creator>
  <dc:creator>Jasper Tjaden</dc:creator>
  <dc:type xml:lang="deu">Text</dc:type>
  <dc:type xml:lang="deu">Buchkapitel</dc:type>
  <dc:publisher>University of Krems Press</dc:publisher>
  <dc:type xml:lang="eng">Text</dc:type>
  <dc:type xml:lang="eng">book part</dc:type>
  <dc:title xml:lang="eng">Innovations in methodological approaches to estimate irregular migrant stocks and flows</dc:title>
  <dc:rights>http://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:identifier>doi:10.48341/g31s-vq79-05</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:identifier>https://door.donau-uni.ac.at/o:5685</dc:identifier>
</oai_dc:dc>