List of accepted proposals and principal investigators.
The following proposals are listed in the order received. Only the name of the principal investigator and the relative affiliation are indicated.
1. "Comparing residential segregation: selected origins in selected EU metropolitan areas"
Department of Political Sciences - University of Naples Federico II
2. "Metropolitan transport links and spatial trends in employment and housing"
Dublin Institute of Technology
3."Measuring segregation across scale and place: An application to the EU D4I data"
Université Paris 1 Panthéon Sorbonne
4. "Sources of Anti-Migrant Sentiment in European Cities"
Bocconi University - Milan
5. "Immigrant labour market impact and the microgeography of migrant locations"
University College London
6. "Economic and social integration of migrants"
Migration Policy Centre - European University Institute, Florence
7. "The geographies of diversity and segregation by country of birth"
University of Liverpool
8. "Spatial analysis of migration in Europe"
Universitat Autònoma de Barcelona
9. "Cities of Migration: Towards a Typology of Urban Diversities"
Erasmus University - Rotterdam
10. "Modelling the inter-linkages between integration, subjective wellbeing and migration"
Vienna Institute for International Economic Studies
11. "The Local Dimension of Identification and Political Participation among Immigrants"
Graduate Institute of International and Development Studies - Geneva
12. "Beyond the Ethnic Enclave: a Multidisciplinary and Partecipatory Approach to Digital Mapping"
University of Rome "La Sapienza"
13. "Home is where the ethnic community is? Explaining ethnic segregation in small and large German cities"
Bremen International Graduate School of Social Sciences
14. "The Effects of Residential Diversity on Public Goods Provision and School Choice"
WZB: Berlin Social Science Research Center
15. "Correlating personal name classification of open residential lists with disaggregated migration statistics for urban segregation analysis"
NamSor Applied Onomastics
16. "Urban public space and socio-spatial segregation in European cities"
University of Tartu
17. "Mapping EU nationals in European cities"
Institute for Research into Superdiversity - University of Birmingham
18. "Transport & migration “Big Data” - A GIS-based approach for measuring migrants access to public transport in European cities"
National Technical University of Athens
19. "Immigrants in Politics: The Effects of Immigrant Minorities’ Presence in Legislature"
Cornell University - Ithaca (New York)
20. "Latin American Residential patterns in European cities: a comparative perspective on a recent immigrant population"
Institute of Geography and Spatial Planning - University of Lisbon
21. "SoBigData4I : Social Big Data for Integration of migrants in cities"
ISTI-CNR and University of Pisa
22. "Contact and wellbeing: The effect of neighbourhoods’ diversity on the well-being of people of migrant background"
London School of Economics and Political Science
The proposed research is a part of a larger project centred around the topic of well-being of people of migrant background and how wellbeing is influenced by intergroup contact and majority attitudes towards immigration. The main research aim of the project is to analyse how the majority group’s attitudes and intergroup contact influence minorities’ subjective well-being across European countries, with the goal of developing ecommendations to improve immigrants’ and majority members’ wellbeing in environments with heterogeneous ethnic composition. Moreover, the project aims to contribute to the research applying Intergroup Contact Theory (Allport 1958, Schuman et al 1985, Wright et al. 1997, Pettigrew and Tropp 2011) by testing the theoretical implications of different forms of contact with empirical, quantitative research.
Minorities' well-being may be affected by both contact and attitudes (Knies, Nandi and Platt 2014, Hewstone 2015). However, while there is increasing interest in the well-being of minorities (Valk and Arpion 2016) and the factors that contribute to it (Oudhof 2007, Verkuyten 2008, Vieno et al. 2009, Safi 2010, Kirmanoglu and Baslevent 2013), the role of the contact with majority and their attitudes towards immigrants and their descends has not been extensively studied in quantitative analyses. This gap is also due to the lack of reliable data combining information on contact, attitudes and wellbeing at small spatial levels.
The proposed research
The proposed study using KCMD Data, will focus on the comparison of the wellbeing of individuals from different ethnic backgrounds living in different neighbourhoods with different ethnic composition in the UK and the Netherlands. The choice of countries is based on their similarity in terms of high foreign population rate, while being different in terms of distribution and segregation patterns. Similarly, the differences in the character of urbanisation of studied countries offer possibility for comparison.
The main research question is ‘How does neighbourhood diversity influence the wellbeing of the majority compared to that of people of various minority backgrounds?
KCMD Data will be paired and matched with local level data from opinion and attitudinal surveys such as ONS Opinion survey (Module Wellbeing, survey conducted in 2011) in the UK or LISS Panel (Effect of perceived social distributions on subjective well-being, data collected between 2010-2014) in the Netherlands.
The research will examine variation in the subjective wellbeing of individuals with different individual-level characteristics (such as socioeconomic and demographic variables), and living in different local contexts as indicated by neighbourhood diversity (based on the KCMD Data), and regional diversity (based on the regional foreign population rate and dispersion of immigrants in the socioeconomic structure based on ISCO qualification of their job), using multilevel regression models.
Subjective well-being will be measured through a question regarding self-evaluated life satisfaction and a derived variable constructed from multiple questions pertaining to satisfaction within certain spheres of life such as health, economy, and state and its policies. The derived variable will more allow for differential weights to be allocated to the importance of certain domains of life satisfaction and thereby allow a more precise interpretation of effects on individual’s well-being. For cross-country comparison, research models will also include country level controls.
KCMD Data will make it possible to nest individuals into smaller local neighbourhood units instead of regions (such as NUTS 1/NUTS 2 units). These smaller areas are more plausibly sites of contact than larger regional areas which might involve unequal dispersion of the minority groups. The use of regions as a proxy for contact is the most problematic limitation of research using datasets lacking information at smaller, neighbourhood, spatial scales. Using these smaller spatial levels, it is also possible to implement different operationalisations of diversity, ethnic group composition, and segregation that will have different implications for contact and, in later stages of the research, attitudes.
The neighbourhood diversity as a proxy for the contact has been explored already, hovewer, the detail the KCMD data and its comparability across countries is novel.
These open a space for cross-country comparison on small scales. The detail information about the country of origin of immigrants provides the means for comparison among groups: variation in the wellbeing of different groups, various effect of the contact with different migrant groups on the wellbeing of majority and its variation across countries.
Additionally, the aforementioned differences in the character of urban areas of the studied countries enable studying how this character influences segregation of immigrant across and within cities.
The results will describe differences in subjective wellbeing of majority and minority groups’ members living in the various areas of the UK and the Netherlands. They will bring more nuanced understanding of the relationship between neighbourhood diversity and perceived wellbeing: the forces that play a role in its shaping, the influence of the immigrants’ background, and the influence of a country that hosts them. These results are crucial for the larger project, that aims to understand what is the role of attitudes in mediating the effect of diversity on wellbeing.
23. "The effect of asylum seekers' reception centres on housing prices. Evidence from the Netherlands"
Gran Sasso Science Institute
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While inflows of asylum seekers in a given area can raise housing prices by generating housing demand, such inflows might also lower housing prices due to possible negative attitudes towards the concentration of asylum seekers in a given area, which lower housing demand in areas where asylum seekers are concentrated (Lastrapes, W. D. and Lebesmuehlbacher, T., 2016).
A difference-in-difference approach is used to identify the effect of the presence of reception centres on housing prices. The empirical strategy consists of comparing housing prices in predefined target and control areas before and after the opening and closing of reception centers for asylum seekers. A distance ring dummy is used to identify target and control areas. In addition, the use of distance ring variables is used to measures the distance decay of the external effects. An additional specification is implemented to assess whether the distance decay is linear, concave or convex, like in Van Duijn, M. and Rouwendal, J. and Boersema, R., 2014. Finally, an instrumental variable is used to improve the identification strategy and avoid endogeneity problems, as the dispersal policy is likely to be non--‐random.
The analysis is conducted on data provided by the Dutch Association of Real Estate Agents on transaction prices. Data provide information on the price of the property, year of transaction, location of the sold houses and distance to the reception centre sites controlling by housing and neighbourhood characteristics. Data provided by COA allow to control for all the information related to the reception centres, such as their address, capacity, year of opening and closure.
This paper contributes to the existing literature on hedonic house price models by providing spatial and temporal dimension (Van Duijn, M. et. al 2014) of the external effect of reception centres for asylum seekers and refugees and by looking at how this effect differs along the urban--‐rural hierarchy. It also contributes to the literature on the impact of immigration on housing prices (Gonzales, L. and Ortega, F., 2013; Sá, F., 2015; Saiz, A., 2006 and Sanchis--‐Guarner, R., 2017) and on the impact of asylum seekers’ inflow in receiving countries, which is usually more focused on fiscal budgets (Larsen, B. R., 2011), the labour market (Borjas, G. J. and Monras, J., 2016) and the voting behaviour (Bratti, M. et al., 2017; Steinmayr, A., 2016).
24. "Patterns and Correlates of Immigrant-Native Segregation in Europe: Implications for Integration Policies"
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