Institute for Economic and Social Research

Seminar | Corrado Giulietti, University of Southampton

2019-08-13

Seminar Vol. 172

Title: Immigration and its effect on the local area

Speaker: Corrado Giulietti, University of Southampton

Time: August 13th, 13:30-14:45

Venue: Conference Room 106B, Zhonghui Building (IESR, JNU College of Economics)

About the speaker:

Corrado Giulietti is Professor of Economics and Head of the Department of Economics at the University of Southampton.  His research interests are labor and development economics, with a focus on the determinants of migration, the impact of migration  and migrants' assimilation. 

He is the Associate Editor of the Journal of Population Economics, and currently serves as the Research Director of Global Labor Organization (GLO), the Associate at Centre for Population Change, the Director of China Research Centre, and the Affiliated Scholar at Centre for Population. He has published in major academic economics journals including the Journal of Labor Economics, Journal of Population Economics, Journal of Economic Behavior and Organization, European Economic Review, Journal of the European Economic Association and Journal of the Royal Statistical Society: Series A.

Abstract:

We explore the impact of local-level immigration on the location choices of UK-born residents. Our study aims at investigating three questions: 

a) Does an increase in the inflow rate of immigrants causally lead to a displacement of UK-born residents?

b)Does displacement increase segregation within a local authority?

c) What are the prevalent mechanisms behind displacement, e.g. economic channels (such as labour market and house prices) or non-economic ones (such as attitudes towards immigrants)? 


To empirically analyse these questions, we match data from Understanding Society – The UK Household Longitudinal Study with statistics on immigrant inflows in the neighbourhood (middle layer super output area) from the National Insurance number allocations of the Department for Work and Pensions (NINo). The core analysis hinges on panel data fixed effects models.





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