This two-day course provides an introduction to multilevel modelling and includes software practicals and demonstrations in R. We focus on multilevel models for continuous and binary outcomes when data are clustered (nested or hierarchical). These models extend conventional linear and logistic regression by accounting for—and learning from—the clustering in the data. They are appropriate, for example, when analysing exam scores for students nested within schools, health outcomes for patients nested within hospitals, or attitudes of respondents within areas. Particular emphasis is placed on disentangling processes operating at different levels of analysis by decomposing the within- and between-cluster effects of explanatory variables (covariates). Longitudinal data also have a clustered structure, with repeated measurements nested within individuals or multiple panel waves nested within survey respondents. Throughout the course, we emphasise model interpretation and the types of research questions that multilevel models are designed to address.

Professor George Leckie is a Professor of Social Statistics and Co-Director of the Centre for Multilevel Modelling (CMM) at the School of Education, University of Bristol, UK. His methodological interests are in the development, application and dissemination of multilevel and related models to analyse educational and other social and health data. He has authored over 100 journal articles, many developing or applying multilevel modelling. He has taught over 90 multilevel modelling short courses across UK, Europe, Australia and US.

The participants will discuss Friederike Römer's draft paper "What drives migration? Revisiting the welfare magnet hypothesis using new measures of immigrant welfare rights".

The event is part of the programme of the Political Economy Workshop.
PEW discusses early/unpublished papers or research plans that investigate the political economy (broadly construed) of social policy and inequality.

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Members of the University of Bremen and BIGSSS at Jacobs University are cordially invited to the Oral Defense of Martín Cortina Escudero's PhD Thesis "Diverging Paths of Social Policy Development in Latin America States: A Case Study on Argentina and Mexico from the Colonial Times to the Early Post-World-War-II Period".

This defense will take place in hybrid mode, to receive the link please contact Martín directly (cortinae@uni-bremen.de).

The Examination Board is composed of:

• Prof. Dr. Philip Manow
  
• Prof. Dr. Delia González de Reufels
• Prof. Dr. Armando Barrientos
• Prof. Dr. Tobias ten Brink
• Dr. Johanna Kuhlmann
• Dr. Jakob Henninger
• Gonzalo Arevalo Iglesias

This workshop brings together the country experts involved in the creation of the Migrant Social Protection (MigSP) dataset. The dataset covers national policies regarding immigrants' access to social protection benefits in 39 countries from 1980 to 2018. It collects information on immigrants’ access to non-contributory social assistance and unemployment insurance, as well as requirements for family reunification and the impact of unemployment and benefit receipt on residence statuses. At the workshop, the final dataset and plans for a future extension will be presented. There will also be thematic inputs by country experts covering various topics such as immigrant welfare rights in traditional sending countries, welfare rights of humanitarian and irregular migrants, indirect restrictions of rights and immigrants’ rights in residual welfare states as well as the impact of COVID-19 on immigrant welfare rights.