Publikationen: Kompetenzzentrum Empirische Methoden (KEM)
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Handbook of Sharing Confidential Data
Drechsler, Jörg, Daniel Kifer, Jerome Reiter & Aleksandra Slavković (Hrsg.) (2025): Handbook of Sharing Confidential Data. Differential Privacy, Secure Multiparty Computation, and Synthetic Data. (Chapman & Hall/CRC Handbooks of Modern Statistical Methods), Boca Raton: CRC Press, 342 S.
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Bridging Between Different BeH Industry Classifications via Imputation
Drechsler, Jörg & Johannes Ludsteck (2024): Bridging Between Different BeH Industry Classifications via Imputation. (FDZ-Methodenreport 04/2024 (en)), Nürnberg, 17 S. DOI:10.5164/IAB.FDZM.2404.en.v1
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An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity
Fössing, Emma & Jörg Drechsler (2024): An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity. In: J. Domingo-Ferrer & M. Önen (Hrsg.) (2024): Privacy in Statistical Databases 2024, S. 178-193. DOI:10.1007/978-3-031-69651-0_12
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Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator
Latner, Jonathan P., Marcel Neunhoeffer & Jörg Drechsler (2024): Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator. In: J. Domingo-Ferrer & M. Önen (Hrsg.) (2024): Privacy in Statistical Databases 2024, S. 115-128. DOI:10.1007/978-3-031-69651-0_8
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Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling
Oganian, Anna, Jörg Drechsler & Mehtab Iqbal (2024): Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling. In: J. Domingo-Ferrer & M. Önen (Hrsg.) (2024): Privacy in Statistical Databases 2024, S. 129-143. DOI:10.1007/978-3-031-69651-0_9
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Rallying around the leader in times of crises: The opposing effects of perceived threat and anxiety
Lehrer, Roni, Oke Bahnsen, Klara Müller, Marcel Neunhoeffer, Thomas Gschwend & Sebastian Juhl (2025): Rallying around the leader in times of crises: The opposing effects of perceived threat and anxiety. In: European journal of political research, Jg. 64, H. 2, S. 697-718. DOI:10.1111/1475-6765.12717
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The Complexities of Differential Privacy for Survey Data
Drechsler, Jörg & James Bailie (2024): The Complexities of Differential Privacy for Survey Data. (NBER working paper / National Bureau of Economic Research 32905), Cambridge, Mass, 18 S.
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The Impact of Mail, Web, and Mixed-Mode Data Collection on Participation in Establishment Surveys
Küfner, Benjamin, Joseph Sakshaug, Stefan Zins & Claudia Globisch (2025): The Impact of Mail, Web, and Mixed-Mode Data Collection on Participation in Establishment Surveys. In: Journal of survey statistics and methodology, Jg. 13, H. 1, S. 66-99. DOI:10.1093/jssam/smae033
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OnJoB: Die Online-Jobcenter-Befragung Bürgergeld
Bernhard, Sarah, Ulf-Michael Nützel, Christopher Osiander, Philipp Ramos Lobato & Stefan Zins (2024): OnJoB: Die Online-Jobcenter-Befragung Bürgergeld. (IAB-Forschungsbericht 17/2024), Nürnberg, 63 S. DOI:10.48720/IAB.FB.2417
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Collecting Hair Samples in Online Panel Surveys: Participation Rates, Selective Participation, and Effects on Attrition
Lawes, Mario, Clemens Hetschko, Joseph Sakshaug & Michael Eid (2024): Collecting Hair Samples in Online Panel Surveys: Participation Rates, Selective Participation, and Effects on Attrition. In: Survey research methods, Jg. 18, H. 2, S. 167-185. DOI:10.18148/srm/2024.v18i2.8170
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The effect of transitioning into temporary employment on wages is not negative: A comparative study in eight countries
Latner, Jonathan P. (2024): The effect of transitioning into temporary employment on wages is not negative: A comparative study in eight countries. In: Research in Social Stratification and Mobility, Jg. 92. DOI:10.1016/j.rssm.2024.100957
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Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections
Bun, Mark, Marco Gaboardi, Marcel Neunhoeffer & Wanrong Zhang (2024): Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections. In: Proceedings of the ACM on Management of Data, Jg. 2, H. 2, S. 1-26. DOI:10.1145/3651595
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Whose Data Is It Anyway? Towards a Formal Treatment of Differential Privacy for Surveys
Bailie, James & Jörg Drechsler (2024): Whose Data Is It Anyway? Towards a Formal Treatment of Differential Privacy for Surveys. In: National Bureau of Economic Research (2024): Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences, Spring 2024, Washington, S. 1-33.
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On the Formal Privacy Guarantees of Synthetic Data
Neunhoeffer, Marcel, Jonathan P. Latner & Jörg Drechsler (2024): On the Formal Privacy Guarantees of Synthetic Data. In: National Bureau of Economic Research (2024): Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences, Spring 2024, Washington, S. 1-16.
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30 Years of Synthetic Data
Drechsler, Jörg & Anna-Carolina Haensch (2024): 30 Years of Synthetic Data. In: Statistical Science, Jg. 39, H. 2, S. 221-242. DOI:10.1214/24-STS927
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Dokumentation und Codebuch für das Hochfrequente Online Personen Panel "Leben und Erwerbstätigkeit in Zeiten von Corona" (IAB-HOPP, Welle 1–9)
Volkert, Marieke, Georg-Christoph Haas, Stefan Zins, Sophie Altschul, Lisa Bellmann, Sandra Dummert, Anna-Carolina Haensch, Sophie Hensgen, Anna Heusler, Johannes Ludsteck, Bettina Müller, Dana Müller, Christopher Osiander, Julia Schmidtke, Gesine Stephan, Annette Trahms & Heidi Wayment (2024): Dokumentation und Codebuch für das Hochfrequente Online Personen Panel "Leben und Erwerbstätigkeit in Zeiten von Corona" (IAB-HOPP, Welle 1–9). (FDZ-Datenreport 01/2024 (de)), Nürnberg, 39 S. DOI:10.5164/IAB.FDZD.2401.de.v1
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Regionale Arbeitsmarktprognosen 2024: Schwache Dynamik auf den regionalen Arbeitsmärkten hält an
Heining, Jörg, Daniel Jahn, Konstantin Körner, Anja Rossen, Christian Teichert & Antje Weyh (2024): Regionale Arbeitsmarktprognosen 2024: Schwache Dynamik auf den regionalen Arbeitsmärkten hält an. (IAB-Kurzbericht 08/2024), Nürnberg, 8 S. DOI:10.48720/IAB.KB.2408
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Evaluation des Teilhabechancengesetzes - Abschlussbericht
Achatz, Juliane, Frank Bauer, Jenny Bennett, Nadja Bömmel, Mustafa Coban, Martin Dietz, Kathrin Englert, Philipp Fuchs, Jan F. C. Gellermann, Claudia Globisch, Sebastian Hülle, Zein Kasrin, Peter Kupka, Anton Nivorozhkin, Christopher Osiander, Laura Pohlan, Markus Promberger, Miriam Raab, Philipp Ramos Lobato, Brigitte Schels, Maximilian Schiele, Mark Trappmann, Stefan Tübbicke, Claudia Wenzig, Joachim Wolff, Stefan Zins & Cordula Zabel (2024): Evaluation des Teilhabechancengesetzes - Abschlussbericht. (IAB-Forschungsbericht 04/2024), Nürnberg, 331 S. DOI:10.48720/IAB.FB.2404
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A data-driven approach to understanding non-response and restoring sample representativeness in the UK Next Steps cohort
Silverwood, Richard J., Lisa Calderwood, Morag Henderson, Joseph Sakshaug & George B. Ploubidis (2024): A data-driven approach to understanding non-response and restoring sample representativeness in the UK Next Steps cohort. In: Longitudinal and life course studies, Jg. 15, H. 2, S. 227-250. DOI:10.1332/17579597y2024d000000010
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The Role of Hyperparameters in Machine Learning Models and How to Tune them
Arnold, Christian, Luka Biedebach, Andreas Küpfer & Marcel Neunhoeffer (2024): The Role of Hyperparameters in Machine Learning Models and How to Tune them. In: Political Science Research and Methods, Jg. 12, H. 4, S. 841-848. DOI:10.1017/psrm.2023.61