Treffer 990
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Linked-Employer-Employee-Data of the IAB: LIAB Longitudinal Model (LIAB LM) 1975-2021
Panahian Fard, Dina, Alexandra Schmucker, Stefan Seth, Matthias Umkehrer & Florian Zimmermann (2024): Linked-Employer-Employee-Data of the IAB: LIAB Longitudinal Model (LIAB LM) 1975-2021. (FDZ-Datenreport 04/2024 (en)), Nürnberg, 76 S. DOI:10.5164/IAB.FDZD.2404.en.v1
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Linked-Employer-Employee-Daten des IAB: LIAB-Längsschnittmodell (LIAB LM) 1975-2021
Panahian Fard, Dina, Alexandra Schmucker, Stefan Seth, Matthias Umkehrer & Florian Zimmermann (2024): Linked-Employer-Employee-Daten des IAB: LIAB-Längsschnittmodell (LIAB LM) 1975-2021. (FDZ-Datenreport 04/2024 (de)), Nürnberg, 76 S. DOI:10.5164/IAB.FDZD.2404.de.v1
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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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Linking the Mannheim Enterprise Panel (MUP) with Administrative Establishment Data of IAB
Diegmann, André, Thorsten Doherr, Mirja Hälbig & Stefanie Wolter (2024): Linking the Mannheim Enterprise Panel (MUP) with Administrative Establishment Data of IAB. (FDZ-Methodenreport 03/2024), Nürnberg, 20 S. DOI:10.5164/IAB.FDZM.2403.en.v1
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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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Mannheimer Unternehmenspanel verknüpft mit dem Betriebs-Historik-Panel 2010–2020 (MUP-BHP 1020)
Diegmann, André, Sandra Gottschalk, Mirja Hälbig, Alexandra Schmucker & Stefanie Wolter (2024): Mannheimer Unternehmenspanel verknüpft mit dem Betriebs-Historik-Panel 2010–2020 (MUP-BHP 1020). (FDZ-Datenreport 03/2024 (de)), Nürnberg, 106 S. DOI:10.5164/IAB.FDZD.2403.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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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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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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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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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