![](/sites/corporate/files/styles/responsive_w50/public/2019-02/anne1.fw_.png.webp?itok=d5ycWgKE)
Assistant Professor Anna Baiardi of Erasmus School of Economics is awarded a Marie Skłodowska-Curie Individual Fellowship for her proposal ‘Long Term Migration’. This prestigious EU Horizon2020 grant to the amount of 175,000 euro is meant to encourage the mobility of researchers across national borders within the European Union.
On Thursday 14 February 2019, Dean ad interim Prof. Frank van der Duijn Schouten and Dean of Research Enrico Pennings congratulated Anna with this extraordinary achievement.
Frank van der Duijn Schouten: ‘The awarding of this Fellowship is not only a great opportunity for Anna, but it certainly also contributes to accomplishing the ambition of Erasmus School of Economics and Erasmus University Rotterdam at large to make our research more visible and more relevant for society. How migration impacts people’s attitude towards migration and migrants belongs to the most intriguing questions our society is facing. I am looking forward to the conclusions of Anna’s research efforts and wish her a lot of scientific pleasure and success.”
Since September 2018 Anna Baiardi is working in the Economics Department of Erasmus School of Economics. She obtained her PhD from the University of Warwick, UK in 2017. Before starting as an assistant professor at Erasmus School of economics she worked at the University of Bonn. Her research interests are in the fields of development economics, economic history, economics of migration and applied economics.
The aim of Anna’s research project is to analyze the long-term effects of immigration on attitudes of natives towards immigration, as well as the mechanisms through which immigration may affect natives’ attitudes. Moreover, she plans to study whether attitudes of natives towards migration have long-term economic consequences, particularly on the ability of immigrants to integrate in the natives’ society, by analyzing economic outcomes of first- and second-generation migrants. The identification strategy relies on instrumental variables, combined with machine learning methods for causal inference.
- More information
For more information, please contact Ronald de Groot, Communications Officer at Erasmus School of Economics, rdegroot@ese.eur.nl, +31 6 53 641 846.