14.  Tutz, G., Berger, M. & Mauerer, I. (2026). "A Note on the Use of Binomial Distributions in CUB-Type Mixture Models". Statistics & Probability Letters, Volume 237, 110834. https://doi.org/10.1016/j.spl.2026.110834

13.   Mauerer, I., Pili, A. & Puy, M. S. (2026). "What Drives Pro-EU Preferences? Territorial Identities, Immigration and Redistribution Attitudes". European Journal of Political Economy 93, 102827. https://doi.org/10.1016/j.ejpoleco.2026.102827

12.   Mauerer, I. & Puy, M. S. (2026). "Ingroup and Outgroup Effects on Party Placement Perceptions". European Political Science Review  18(1): 18–39. https://doi.org/10.1017/S1755773925100234

11.   Mauerer, I. & Tutz, G. (2025). "An Ordinal Item Response Model for Understanding Attitudes". Sociological Methods & Research. OnlineFirst. https://doi.org/10.1177/00491241251403078

10.   Mauerer, I., Puy, M. S. & Urzay-Gómez, S. (2025). "Explaining Preferences for EU Integration: Theory and Empirical Evidence". European Economic Review 176.  https://doi.org/10.1016/j.euroecorev.2025.105038

9.   Mauerer, I. & Walter, A. (2025). "Rational Voting Behaviour Accounting for Heterogeneous Ballots in British Elections". Statistical Modelling 25(5): 399–415. https://doi.org/10.1177/1471082X241272346

8.   Mauerer I. & Tutz, G. (2024). "Vote Choices and Valence: Intercepts and Alternate Specifications". Political Analysis 32(3): 361–378. https://doi.org/10.1017/pan.2023.43

7.   Mauerer, I. & Tutz, G. (2023). "Heterogeneity in General Multinomial Choice Models." Statistical Methods & Applications 32(1): 129–148. https://doi.org/10.1007/s10260-022-00642-5

6.   Thurner, P.W., Klima, A., Küchenhoff, H., Mauerer, I., Mang, S., Walter-Rogg, M., Heinrich, T., Knieper, T. & Schnurbus, J. (2022). "Micromotives of Vote Switchers and Macrotransitions: The Case of the Immigration Issue in a Regional Earthquake Election in Germany 2018." German Political Science Quarterly 63: 663–684. https://doi.org/10.1007/s11615-022-00411-9

5.   Mauerer, I. (2020). "The Neglected Role and Variability of Party Intercepts in the Spatial Valence Approach". Political Analysis 28(3): 303–317. https://doi.org/10.1017/pan.2019.41 

 * 2021 Political Analysis Editors' Choice Article Award * presents an "especially significant contribution to political methodology"

4.   Thurner, P. W., Mauerer, I., Bort, M., Klima, A. & Küchenhoff, H. (2020). "Integrating Large-Scale Online Surveys and Aggregate Data at the Constituency Level: The Estimation of Voter Transitions in the 2015 British General Elections". Survey Research Methods 14(5): 461–476. https://doi.org/10.18148/srm/2020.v14i5.7628

3.   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. https://doi.org/10.1016/j.jocm.2015.09.004

2.   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 38(6): 1251–1273.

https://doi.org/10.1080/01402382.2015.1026562

1.   Thurner, P. W., Mauerer, I., & Binder, M. (2012). "Parteienspezifisches Issue Voting bei den Bundestagswahlen 2002 bis 2009". German Political Science Quarterly, Special Issue 45, edited by R. Schmitt-Beck, Baden-Baden: Nomos, 302–320. doi.org/10.5771/9783845262178_309

5.   Mauerer, I. Iannario, M. & Tutz, G. (2026). "Regularization for Differential Item Functioning in Gender Equality Attitudes". Forthcoming in Proceedings of the 40th International Workshop on Statistical Modelling, University of Oslo, Department of Mathematics, Norway.

4.    Mauerer, I. & Tutz, G. (2025). "Ordinal Item Response Theory Models for the Evaluation of Heterogeneity in Attitudes". In Proceedings of the 39th International Workshop on Statistical Modelling, Limerick, Ireland, edited by O’Sullivan, D., Sweeney, J., Moghaddam, S. & Burke, K., pp. 399–402. ISBN 978-1-0369-2711-0

3.    Thurner, P.W., Küchenhoff, H., Walter-Rogg, M., Heinrich, T., Klima, A., Knieper, T., Haupt, H. Mauerer, I., Mang, S. & Schnurbus, J. (2023). "Die Universitätsstudie Bayernwahl 2018 (USBW18): Design und ermittelte Wählerwanderungen." In Die Landtagswahl 2018 in Bayern, edited by Walter-Rogg, M. & Heinrich, T., pp. 21-63. Wiesbaden: Springer VS.

https://doi.org/10.1007/978-3-658-41392-7_2

2.    Thurner, P. W., Kunz, F., Miclut, A., Mauerer, I., Klima, A. & Küchenhoff, H. (2021). "Die Schätzung von Wählerwanderungen zwischen den Bundestagswahlen 2013–2017 mit Hilfe von Online-Paneldaten und Aggregatdaten in Hybridmodellen". In Wahlen und Wähler – Analysen aus Anlass der Bundestagswahl 2017, edited by Weßels, B. & Schoen, H., pp. 205–226. Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-33582-3_11

1.   Mauerer, I. & Schneider, M. (2019). "Perceived Party Placements and Uncertainty on Immigration in the 2017 German Election". In Jahrbuch für Handlungs- und Entscheidungstheorie Volume 11, edited by M. Debus, Tepe, M. & Sauermann, J., pp. 117–143. Wiesbaden: Springer Nature.  https://doi.org/10.1007/978-3-658-23997-8_5

9.    Mauerer, I.,  Puy, M. S. & Pili, A. (2026). "Replication Data for: What Drives Pro-EU Preferences? Territorial Identities, Immigration and Redistribution Attitudes", Harvard Dataverse, V1. https://doi.org/10.7910/DVN/YLMG3U

8.    Mauerer, I. & Tutz, G. (2025). "Replication Data for: An Ordinal Item Response Model for Understanding Attitudes", Harvard Dataverse, V1. https://doi.org/10.7910/DVN/CZJJAF

7.    Mauerer, I. & Puy, M. S. (2025). "Replication Data for: Ingroup and Outgroup Effects on Party Placement Perceptions", Harvard Dataverse, V1. https://doi.org/10.7910/DVN/PJBO5S 

6.    Mauerer, I., Puy, M. S. & Urzay-Gómez, S. (2025). "Replication Data for: Explaining Preferences for EU Integration: Theory and Empirical Evidence", Harvard Dataverse, V1. https://doi.org/10.7910/DVN/SLUUXH

5.     Mauerer, I. & Tutz, G. (2024). "Replication Data for: Heterogeneity in General Multinomial Choice Models", Harvard Dataverse, V1.  https://doi.org/10.7910/DVN/UL0RHQ

4.    Mauerer, I. & Walter, A. (2024). "Replication Data for: Rational Voting Behavior Accounting for Heterogeneous Ballots in British Elections", Harvard Dataverse, V1. https://doi.org/10.7910/DVN/AV8RZI

3.     Mauerer, I. & Tutz, G. (2023). "Replication Data for: Vote Choices and Valence: Intercepts and Alternate Specifications", Harvard Dataverse, V1. https://doi.org/10.7910/DVN/SKWTGS

2.    Mauerer, I. (2019). "Replication Data for: The Neglected Role and Variability of Party Intercepts in the Spatial Valence Approach", Harvard Dataverse, V1. https://doi.org/10.7910/DVN/PIV1KX

1.    Bavarian University Election Study 2018 Data Set (BUES 18). LMU Munich, Statistics Department.

3.    Mauerer, I. & Schneider, M. (2019). "Uncertainty in Issue Placements and Spatial Voting". Open Access LMU Munich, Department of Statistics: Technical Reports, Nr. 226. 30 pages. doi:  10.5282/ubm/epub.68451 

2.    Küchenhoff, H., Thurner, P. W., Klima, A., Mauerer, I., Knieper, T., Haupt, H., Mang, S., Schnurbus, J., Walter-Rogg, M., Heinrich, T. (2018). "Preliminary Results Report: 2018 Bavarian Election Study." 33 pages

1.     Guérin, N., Mauerer, I., Nienierza, A., Nies, S., Patz, R., Peter, C. & Robnik, R. (2017). "Progress Report on the Equal Opportunities Plan of the Faculty of Social Sciences". LMU Munich. 26 pages

Mauerer, I., Puy, M. S. & Urzay-Gómez, S. (2026). La paradoja europea: sobre cómo Bruselas desactiva la polarización. Nada es Gratis