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Posted 2021-06-28 13:36:41 by Douglas Lewis

On Thursday, June 17 at 14:00 – 16:30 CET took place the online seminar “Estimating international migration flows: Past, present and future”. This event was co-organised by QuantMig in collaboration with Population Europe, Max Planck Institute for Demographic Research, the Global Knowledge Partnership on Migration and Development (KNOMAD), the International Organisation for Migration (IOM), the International Union for the Scientific Study of Population (IUSSP) and the Central European University.

Presentations and discussions centered on the fact that data on international migration are far from being sufficient and precise. This negatively impacts the demographic analysis of population change and increases the uncertainty of population estimates and projections. For more than twenty years, the academic community, international organisations and institutes of statistics work continuously on improving data collection and quality of the estimates, and much progress has been made. In this seminar, participants offered a perspective on where we stand now: What are the latest advancements in the methodology for migration estimates? How to foster more collaboration on these matters? 

The agenda (download PDF here) included an introduction by Rainer Münz (Central European University) and Thomas Buettner (UN DESA, retired), followed by three core presentations:

•    Migration estimates and projections in Europe: An overview of advances in the last two decades, and scope for further developments Giampaolo Lanzieri (Eurostat)
•    How to improve migration estimates? From Mimosa to IMEM and QuantMig Jakub Bijak (University of Southampton, QuantMig’s PI)
•    The International Migration Database: estimating migration flows with multiple datasets Emilio Zagheni (Max Planck Institute for Demographic Research)

In a third section, a Panel Debate was held with Bela Hovy (UN DESA), Frans Willekens (NIDI and QuantMig member), Marie McAuliffe (IOM), Ellen Percy Kraly (Colgate University) and Diego Iturralde (Statistics South Africa); moderated by Daniela Vono de Vilhena (Population Europe & QuantMig member).


  


This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 870299 QuantMig: Quantifying Migration Scenarios for Better Policy. This document reflects the authors'view and the Research Executive Agency of the European Commission are not responsible for any use that may be made of the information it contains.

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