معرفی
Emily Barker is a Research Fellow at the University of Southampton specializing in migration uncertainty across time horizons, affiliated with the Demographic and Migration Modelling research group and contributing to the Horizon Europe-funded QuantMig project. Her work integrates international macroeconomics, fiscal policy, and migration dynamics within emerging economies using advanced econometric techniques.
Education
- PhD in Economics, University of Sheffield (2020). Thesis: "Essays on the Macroeconomics of Migration" evaluating migration's impact on open economies through DSGE models and SVAR, including analysis of brain waste in Canada and resource curse-migration relationships.
Research Interests
Dr. Barker's research centers on Migration and International Macroeconomics, with specific focus on Fiscal Policy implications in Emerging Economies. She examines business cycles, commodity prices, and open economy dynamics through Applied Macroeconometrics, employing DSGE models to quantify migration uncertainty and its economic ripple effects. Her work bridges theoretical frameworks with policy-relevant migration forecasting.
Publication Trends
Her 2020-2025 publications reveal a consistent focus on European migration forecasting through advanced VAR methodologies, early warning systems for asylum flows, and automation-migration interactions in aging societies. Collaborative work with Jakub Bijak dominates this output, characterized by empirical rigor in mixed-frequency and panel VAR applications within Horizon Europe's QuantMig framework.
Scientific Awards
- Associate Fellow of the Higher Education Academy
Advising and Grants
- Teaching: Undergraduate/postgraduate instruction in macroeconomics, microeconomics, mathematics, and macroeconometrics with project supervision experience.
- Funding: Horizon Europe support for QuantMig project developing migration forecasting tools and policy resilience models.
Research Environment
As core member of the Demographic and Migration Modelling research group, Dr. Barker collaborates on migration scenario analysis and early warning system development, contributing econometric expertise to interdisciplinary teams addressing European demographic challenges.
