Treffer 974
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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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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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Enriching administrative data using survey data and machine learning techniques
Kunaschk, Max (2024): Enriching administrative data using survey data and machine learning techniques. In: Economics Letters, Jg. 243. DOI:10.1016/j.econlet.2024.111924
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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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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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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 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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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