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Dr Roland Kappe
Room: 2.01, 29/30 Tavistock Square
Tel: 020 7679 4725
Email: r.kappe@ucl.ac.uk
Website
Biography
I am a Lecturer (Assistant Professor) in the Department of Political Science, as well as in the UCL Department of European Social and Political Studies. Before joining UCL, I obtained my PhD in political science at Stony Brook University, New York. A native of Paderborn, Germany, I studied Politics and Administration at the University of Konstanz and the University of Pavia, Italy, and worked for the Organisation for Economic Co-operation and Development (OECD) in Paris.
Research
My research interests cover several substantive fields, including political economy, comparative politics, public opinion and elections, as well as education and social policy. To answer questions in these fields, I use quantitative methods, with a special focus on time series analysis and methods for causal inference using observational data.
Publications
- Journal articles
- Kappe, R. and Schuster, C. (2021) ‘Agents of Past Principals: The Lasting Effects of Incumbents on the Political Ideology of Bureaucrats’, European Journal of Political Research, 61(3), pp. 807–828.
- Kappe, R. (2018) ‘Asymmetric Evaluations: Government Popularity and Economic Performance in the United Kingdom’, Electoral Studies, 53, pp. 133–138.
- Kappe, R. (2016) ‘The Effect of the Religious Environment on Teenage Birth Rates in the United States’, Sexuality Research and Social Policy, 13(3), pp. 241–251.
- Rauh, C., Kirchner, A. and Kappe, R. (2011) ‘Political Parties and Higher Education Spending: Who Favours Redistribution?’, West European Politics, 34(6), pp. 1185–1206.
- Book chapters
- Kappe, R. (2020) ‘Multilingualism and the Brexit Referendum’, in K. Strani (ed.) Multilingualism and Politics: Revisiting Multilingual Citizenship. Cham: Palgrave Macmillan, pp. 129–155.
Teaching
I teach the MSc core module on ‘Public Policy Economics and Analysis’, as well as two undergraduate modules on ‘Political Economy’ and ‘Welfare Politics’.
I am interested in supervising undergraduate, Master’s and PhD theses (using quantitative methods) in any of the research fields listed above.