We quantify the impact of COVID-19 on immigration flows in 15 high-income countries by forecasting their counterfactual levels in 2020 assuming no pandemic and comparing these estimates with observed immigration counts.
This project aims to develop analytical methods to monitor public opinions towards immigration using Twitter data and machine learning.
This project aims to investigate how the educational and employment trajectories of immigrants and their children in the UK evolve and interact; and, how factors related to their residential environment, early life context and critical life transitions shape these trajectories between 1991-2017.
This paper investigates the connection between national immigration policy and a society’s attitudes towards immigration.