Personal profile
Research interests
Mariyana Angelova is an Assistant Professor of Comparative Politics at Central European University in Vienna. Prior to this position, she worked as a postdoctoral researcher at the Department of Government at the University of Vienna on the C3 project “Strong vs. Weak Governments and the Challenge of Economic Reforms,” part of the Collaborative Research Center SFB 884 “Political Economy of Reforms.” She received her PhD in political science from the Graduate School of Economic and Social Sciences (GESS) at the University of Mannheim in Germany in 2019.
Her research focuses on legislative policymaking and voter behavior in parliamentary democracies. She studies the strategic timing of reforms, agenda setting, reform productivity, and EU policymaking and compliance. She is also interested in voter perceptions and political behavior in coalition settings during times of political polarization and digitalization. Her current work examines perceptions of coalition compromise and responsibility attribution, electoral accountability in coalition settings, party cues and political polarization on climate change and immigration, the role of party leaders’ gender in voters’ party evaluations, as well as misinformation and voter perceptions of fake news.
She has published articles in journals including the British Journal of Political Science, European Journal of Political Research, European Union Politics, Electoral Studies, and the Journal of European Public Policy. Her publications are listed in her CV.
She has a strong interest in survey research and survey experiments, quantitative methods, programming, and quantitative text analysis. She actively engages in interdisciplinary collaboration and, together with colleagues at the University of Mannheim and the University of Vienna, is involved in fielding panel survey questions within the German Internet Panel (GIP), as well as cross-country surveys in up to 12 Central and Western European countries
Related documents
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 10 Reduced Inequalities
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SDG 13 Climate Action
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Measuring policy outputs and outcomes in coalitions
Angelova, M., Nov 2025, Handbook on Coalition Politics. Bräuninger, T. & Debus, M. (eds.). Edward Elgar Publishing Ltd., p. 256-279 24 p.Research output: Contribution to Book/Report types › Chapter › peer-review
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Coalition agreements and governments’ policy-making productivity
Bergman, M. E., Angelova, M., Bäck, H. & Müller, W. C., 23 Jan 2023, In: West European Politics. 47, 1, p. 31-60 30 p.Research output: Contribution to journal › Article › peer-review
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Ministerial Autonomy, Parliamentary Scrutiny and Government Reform Output in Parliamentary Democracies
Bäck, H., Müller, W. C., Angelova, M. & Strobl, D., Feb 2022, In: Comparative Political Studies. 55, 2, p. 254-286 33 p.Research output: Contribution to journal › Article › peer-review
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Electoral Cycles in Government Policy Making: Strategic Timing of Austerity Reform Measures in Western Europe
Strobl, D., Bäck, H., Müller, W. C. & Angelova, M., Jan 2021, In: British Journal of Political Science. 51, 1, p. 331-352 22 p.Research output: Contribution to journal › Article › peer-review
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Swaying citizen support for EU membership: Evidence from a survey experiment of German voters
Yordanova, N., Angelova, M., Lehrer, R., Osnabrügge, M. & Renes, S., 1 Sep 2020, In: European Union Politics. 21, 3, p. 429-450 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Prizes
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CEU Teaching Excellence Award Honorable Mention
Angelova, M. (Recipient), 2024
Prize: Prize, award or honor
Datasets
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Replication Data for: "Ministerial Autonomy, Parliamentary Scrutiny and Government Reform Output in Parliamentary Democracies"
Bäck, H. (Creator), Müller, W. C. (Creator), Angelova, M. (Creator), Strobl, D. (Creator) & Angelova, M. (Creator), Harvard Dataverse, 2021
DOI: 10.7910/dvn/14u9c2, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/14U9C2
Dataset