Treffer 1.019
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The Mannheim Enterprise Panel linked to the Establishment History Panel of the IAB 2010–2020 (MUP-BHP 1020)
Diegmann, André, Sandra Gottschalk, Mirja Hälbig, Alexandra Schmucker & Stefanie Wolter (2024): The Mannheim Enterprise Panel linked to the Establishment History Panel of the IAB 2010–2020 (MUP-BHP 1020). (FDZ-Datenreport 03/2024 (en)), Nürnberg, 104 S. DOI:10.5164/IAB.FDZD.2403.en.v1
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NEPS-SC3-Erhebungsdaten verknüpft mit administrativen Daten des IAB (NEPS-SC3-ADIAB)
Bachbauer, Nadine (2024): NEPS-SC3-Erhebungsdaten verknüpft mit administrativen Daten des IAB (NEPS-SC3-ADIAB). (FDZ-Datenreport 02/2024 (de)), Nürnberg, 90 S. DOI:10.5164/IAB.FDZD.2402.de.v1
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NEPS-SC3 survey data linked to administrative data of the IAB (NEPS-SC3-ADIAB)
Bachbauer, Nadine (2024): NEPS-SC3 survey data linked to administrative data of the IAB (NEPS-SC3-ADIAB). (FDZ-Datenreport 02/2024 (en)), Nürnberg, 88 S. DOI:10.5164/IAB.FDZD.2402.en.v1
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Measurement error in longitudinal earnings data: evidence from Germany
Schmillen, Achim, Matthias Umkehrer & Till von Wachter (2024): Measurement error in longitudinal earnings data: evidence from Germany. In: Journal for labour market research, Jg. 58. DOI:10.1186/s12651-024-00366-x
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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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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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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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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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Implementierung eines Web-basierten Datenerhebungsmodus in einem bestehenden Panel der Allgemeinbevölkerung: Eine Analyse der Selektions- & Messeffekte
Mühlbacher, Vanessa & Mark Trappmann (2024): Implementierung eines Web-basierten Datenerhebungsmodus in einem bestehenden Panel der Allgemeinbevölkerung: Eine Analyse der Selektions- & Messeffekte. (FDZ-Methodenreport 01/2024 (de)), Nürnberg, 74 S. DOI:10.5164/IAB.FDZM.2401.de.v1
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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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IAB Establishment Panel (IAB-BP) 1993-2022
Bächmann, Ann-Christin, Lisa Bellmann, Miriam Gensicke, Susanne Kohaut, Iris Möller, Barbara Schwengler, Nikolai Tschersich & Matthias Umkehrer (2024): IAB Establishment Panel (IAB-BP) 1993-2022. (FDZ-Datenreport 16/2023 (en)), Nürnberg, 28 S. DOI:10.5164/IAB.FDZD.2316.en.v1
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Codebook and Documentation of the Panel Study „Labour Market and Social Security“ (PASS)
Berg, Marco, Ralph Cramer, Christian Dickmann, Reiner Gilberg, Birgit Jesske, Martin Kleudgen, Jonas Beste, Sandra Dummert, Corinna Frodermann, Sonja Malich, Stefan Schwarz, Claudia Wenzig, Mark Trappmann, Sebastian Bähr, Nadja Bömmel, Mustafa Coban, Matthias Collischon, Stefanie Gundert, Benjamin Küfner, Jan Mackeben, Bettina Müller, Jens Stegmaier, Nils Teichler & Anja Wunder (2024): Codebook and Documentation of the Panel Study „Labour Market and Social Security“ (PASS). Datenreport Wave 16. (FDZ-Datenreport 12/2023 (en)), Nürnberg, 176 S. DOI:10.5164/IAB.FDZD.2312.en.v1
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The effectiveness of between-wave mailings and tailored material incentives on response rates: results from a young adolescent longitudinal survey
Auriga, Roman, André Pirralha, Friederike Schlücker, Götz Lechner & Anna Passmann (2025): The effectiveness of between-wave mailings and tailored material incentives on response rates: results from a young adolescent longitudinal survey. In: International Journal of Social Research Methodology, Jg. 28, H. 1, S. 119-131. DOI:10.1080/13645579.2024.2303031
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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
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Data quality control in the 6th wave of the IAB-BAMF-SOEP Survey of Refugees, samples M3-M6
Schwanhäuser, Silvia & Lukas Olbrich (2024): Data quality control in the 6th wave of the IAB-BAMF-SOEP Survey of Refugees, samples M3-M6. (SOEP Survey Papers 1334: Series C - Data Documentations), Berlin, 7 S.
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Linking graduate data from the Nuremberg Institute of Technology and administrative labor market biography data from the Institute for Employment Research
Antoni, Manfred, Timon K. Drewes, Hans-Dieter Gerner, Robert Jäckle & Stefan Schwarz (2024): Linking graduate data from the Nuremberg Institute of Technology and administrative labor market biography data from the Institute for Employment Research. (German Record-Linkage Center. Working paper series 2024-01), Nürnberg, 10 S.
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Das Reidentifikationspotenzial von strukturierten Gesundheitsdaten
Drechsler, Jörg & Hannah Pauly (2024): Das Reidentifikationspotenzial von strukturierten Gesundheitsdaten. In: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, Jg. 67, S. 164-170. DOI:10.1007/s00103-023-03820-2
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Kleinräumige Bevölkerungsprojektionen
Vanella, Patrizio, Timon Hellwagner, Philipp Deschermeier & Markus Kissling (2024): Kleinräumige Bevölkerungsprojektionen. Bedeutung, Herausforderungen, Potenziale. In: Stadtforschung und Statistik, Jg. 37, H. 2, S. 54-64.
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Detecting Interviewer Falsification in Surveys – A Guide for Improving Quality Controls
Schwanhäuser, Silvia (2024): Detecting Interviewer Falsification in Surveys – A Guide for Improving Quality Controls. 260 S.