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Ingrid Mauerer

Dr. Ingrid Mauerer

Assistant Professor


Department of Political Science
Chair for Empirical Political Research and Policy Analysis
Oettingenstr. 67
80538 Munich

Room: H006
Phone: +49 (0) 89 / 2180 9094
Fax: +49 (0) 89 / 2180 9092

Office hours:
By agreement (please write an email)

Further Information

Research Interests:
Political behavior and political methodology, policy-based voting and party competition, mass opinion and preference formation, regression for categorical data and discrete choice modeling


  1. Mauerer, I. & Schneider, M. (forthcoming). Perceived Party Placements and Uncertainty on Immigration in the 2017 German Election. Jahrbuch für Handlungs- und Entscheidungstheorie Band 11, 2018: Springer, VS.
  2. Mauerer, I., Pößnecker, W., Thurner, P. W., & Tutz, G. (2015). Modeling Electoral Choices in Multiparty Systems with High-Dimensional Data: A Regularized Selection of Parameters using the Lasso Approach. Journal of Choice Modelling 16: 23-42. doi: 10.1016/j.jocm.2015.09.004
  3. Mauerer, I., Thurner, P. W., & Debus, M. (2015). Under Which Conditions do Parties Attract Voters' Reactions to Issues? Party-Varying Issue Voting in German Elections 1987-2009. West European Politics. doi: 10.1080/01402382.2015.1026562
  4. Thurner, P. W., Mauerer, I., & Binder, M. (2011): Parteienspezifisches Issue Voting bei den Bundestagswahlen 2002 bis 2009. In R. Schmitt-Beck (Ed.), Wählen in Deutschland. Politische Vierteljahresschrift Sonderheft 45 (S. 302-320). Baden-Baden: Nomos.
  1. Mauerer, I. & Thurner, P. W. Applied Conditional Logit, Nested Logit and Mixed Logit Models. SAGE Series on Quantitative Applications in the Social Sciences.
  2. Mauerer, I. A Party-Varying Model of Issue-Voting. A Cross-National Study. Dissertation, LMU Munich (in revision for submission to university press).


Focus in Teaching:
Quantitative Methods, Discrete Choice Modeling, Comparative Politics, Scientific Writing and Research Designs

Research-teaching project: Bavarian University Election Study 18 (BUES 18)

Winter Term 2018/2019

For further information, please visit my personal homepage