Publications: Statistical Methods (KEM)
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Averaging Non-Probability Online Surveys to Avoid Maximal Estimation Error
Murray-Watters, A., Zins, S., Sakshaug, J. & Cornesse, C. (2025): Averaging Non-Probability Online Surveys to Avoid Maximal Estimation Error. In: Journal of Official Statistics. DOI:10.1177/0282423X241312775
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ELMI Policy Talk: Immigrant integration services in Germany, Sweden and Finland (Interview)
Latner, J., Forslund, A., Konle-Seidl, R. & Hämäläinen, K. (sonst. bet. Pers.) (2025): ELMI Policy Talk: Immigrant integration services in Germany, Sweden and Finland (Interview). In: IAB-Forum No. 19.02.2025. DOI:10.48720/IAB.FOO.20250219.02
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Does automation replace experts or augment expertise? The answer is yes (Interview)
Winters, J. & Latner, J., Autor, D. (interviewte Person) (2025): Does automation replace experts or augment expertise? The answer is yes (Interview). In: IAB-Forum No. 09.01.2025. DOI:10.48720/IAB.FOO.20250109.01
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Subsidised jobs for the long-term unemployed: An evaluation of the German Participation Opportunities Act
Achatz, J., Bauer, F., Bennett, J., Bömmel, N., Coban, M., Dietz, M., Englert, K., Fuchs, P., Gellermann, J., Globisch, C., Hülle, S., Kasrin, Z., Kupka, P., Nivorozhkin, A., Osiander, C., Pohlan, L., Promberger, M., Raab, M., Ramos Lobato, P., Schels, B., Schiele, M., Trappmann, M., Tübbicke, S., Wenzig, C., Wolff, J., Zins, S. & Zabel, C. (2024): Subsidised jobs for the long-term unemployed: An evaluation of the German Participation Opportunities Act. In: IAB-Forum No. 23.12.2024. DOI:10.48720/IAB.FOO.20241223.01
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Panel Lebensqualität und Teilhabe - Feld- und Methodenbericht der Welle 3
Hülle, S., Bömmel, N., Coban, M., Fössing, E., Kasrin, Z., Meß, A., Kasrin, Z., Özerdogan, A., Meß, A., Schiele, M., Trappmann, M., Wagemann, U., Weik, J., Wolff, J., Zabel, C. & Zins, S. (2024): Panel Lebensqualität und Teilhabe - Feld- und Methodenbericht der Welle 3. (IAB-Forschungsbericht 24/2024), Nürnberg, 98 p. DOI:10.48720/IAB.FB.2424
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IAB-OPAL: Mit dem neuen Online-Panel schneller zu belastbaren Befunden kommen
Coban, M., Baisch, B., Distler, C., Schwarz, S., Trappmann, M., Weik, J., Wenzig, C., Wilden, H. & Zins, S. (2024): IAB-OPAL: Mit dem neuen Online-Panel schneller zu belastbaren Befunden kommen. In: IAB-Forum No. 11.11.2024. DOI:10.48720/IAB.FOO.20241111.01
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Climate emotions, thoughts, and plans among US adolescents and young adults: a cross-sectional descriptive survey and analysis by political party identification and self-reported exposure to severe weather events
Lewandowski, R., Clayton, S., Olbrich, L., Sakshaug, J., Wray, B., Schwartz, S., Augustinavicius, J., Howe, P., Parnes, M., Wright, S., Carpenter, C., Wiśniowski, A., Ruiz, D. & Susteren, L. (2024): Climate emotions, thoughts, and plans among US adolescents and young adults: a cross-sectional descriptive survey and analysis by political party identification and self-reported exposure to severe weather events. In: The Lancet planetary health, Vol. 8, No. 11, p. e879-e893. DOI:10.1016/s2542-5196(24)00229-8
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Handbook of Sharing Confidential Data
Drechsler, J., Kifer, D., Reiter, J. & Slavković, A. (eds.) (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 p.
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Bridging Between Different BeH Industry Classifications via Imputation
Drechsler, J. & Ludsteck, J. (2024): Bridging Between Different BeH Industry Classifications via Imputation. (FDZ-Methodenreport 04/2024 (en)), Nürnberg, 17 p. DOI:10.5164/IAB.FDZM.2404.en.v1
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Evaluating the Pseudo Likelihood Approach for Synthesizing Surveys Under Informative Sampling
Oganian, A., Drechsler, J. & Iqbal, M. (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, p. 129-143. DOI:10.1007/978-3-031-69651-0_9
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Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator
Latner, J., Neunhoeffer, M. & Drechsler, J. (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, p. 115-128. DOI:10.1007/978-3-031-69651-0_8
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An Evaluation of Synthetic Data Generators Implemented in the Python Library Synthcity
Fössing, E. & Drechsler, J. (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, p. 178-193. DOI:10.1007/978-3-031-69651-0_12
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Rallying around the leader in times of crises: The opposing effects of perceived threat and anxiety
Lehrer, R., Bahnsen, O., Müller, K., Neunhoeffer, M., Gschwend, T. & Juhl, S. (2024): Rallying around the leader in times of crises: The opposing effects of perceived threat and anxiety. In: European journal of political research. DOI:10.1111/1475-6765.12717
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The Complexities of Differential Privacy for Survey Data
Drechsler, J. & Bailie, J. (2024): The Complexities of Differential Privacy for Survey Data. (NBER working paper / National Bureau of Economic Research 32905), Cambridge, Mass, 18 p.
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The Impact of Mail, Web, and Mixed-Mode Data Collection on Participation in Establishment Surveys
Küfner, B., Sakshaug, J., Zins, S. & Globisch, C. (2025): The Impact of Mail, Web, and Mixed-Mode Data Collection on Participation in Establishment Surveys. In: Journal of survey statistics and methodology, Vol. 13, No. 1, p. 66-99. DOI:10.1093/jssam/smae033
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OnJoB: Die Online-Jobcenter-Befragung Bürgergeld
Bernhard, S., Nützel, U., Osiander, C., Ramos Lobato, P. & Zins, S. (2024): OnJoB: Die Online-Jobcenter-Befragung Bürgergeld. (IAB-Forschungsbericht 17/2024), Nürnberg, 63 p. 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, M., Hetschko, C., Sakshaug, J. & Eid, M. (2024): Collecting Hair Samples in Online Panel Surveys: Participation Rates, Selective Participation, and Effects on Attrition. In: Survey research methods, Vol. 18, No. 2, p. 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, J. (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, Vol. 92. DOI:10.1016/j.rssm.2024.100957
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Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections
Bun, M., Gaboardi, M., Neunhoeffer, M. & Zhang, W. (2024): Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections. In: Proceedings of the ACM on Management of Data, Vol. 2, No. 2, p. 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, J. & Drechsler, J. (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, p. 1-33.