Total hits 953
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Enriching administrative data using survey data and machine learning techniques
Kunaschk, M. (2024): Enriching administrative data using survey data and machine learning techniques. In: Economics Letters, Vol. 243. DOI:10.1016/j.econlet.2024.111924
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Linked-Employer-Employee-Daten des IAB: LIAB-Längsschnittmodell (LIAB LM) 1975-2021
Panahian Fard, D., Schmucker, A., Seth, S., Umkehrer, M. & Zimmermann, F. (2024): Linked-Employer-Employee-Daten des IAB: LIAB-Längsschnittmodell (LIAB LM) 1975-2021. (FDZ-Datenreport 04/2024 (de)), Nürnberg, 76 p. 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, 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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Linking the Mannheim Enterprise Panel (MUP) with Administrative Establishment Data of IAB
Diegmann, A., Doherr, T., Hälbig, M. & Wolter, S. (2024): Linking the Mannheim Enterprise Panel (MUP) with Administrative Establishment Data of IAB. (FDZ-Methodenreport 03/2024), Nürnberg, 20 p. 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, A., Gottschalk, S., Hälbig, M., Schmucker, A. & Wolter, S. (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 p. 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, A., Gottschalk, S., Hälbig, M., Schmucker, A. & Wolter, S. (2024): Mannheimer Unternehmenspanel verknüpft mit dem Betriebs-Historik-Panel 2010–2020 (MUP-BHP 1020). (FDZ-Datenreport 03/2024 (de)), Nürnberg, 106 p. DOI:10.5164/IAB.FDZD.2403.de.v1
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NEPS-SC3-Erhebungsdaten verknüpft mit administrativen Daten des IAB (NEPS-SC3-ADIAB)
Bachbauer, N. (2024): NEPS-SC3-Erhebungsdaten verknüpft mit administrativen Daten des IAB (NEPS-SC3-ADIAB). (FDZ-Datenreport 02/2024 (de)), Nürnberg, 90 p. 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, N. (2024): NEPS-SC3 survey data linked to administrative data of the IAB (NEPS-SC3-ADIAB). (FDZ-Datenreport 02/2024 (en)), Nürnberg, 88 p. DOI:10.5164/IAB.FDZD.2402.en.v1
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Measurement error in longitudinal earnings data: evidence from Germany
Schmillen, A., Umkehrer, M. & Wachter, T. (2024): Measurement error in longitudinal earnings data: evidence from Germany. In: Journal for labour market research, Vol. 58. DOI:10.1186/s12651-024-00366-x
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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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On the Formal Privacy Guarantees of Synthetic Data
Neunhoeffer, M., Latner, J. & Drechsler, J. (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, p. 1-16.
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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.
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30 Years of Synthetic Data
Drechsler, J. & Haensch, A. (2024): 30 Years of Synthetic Data. In: Statistical Science, Vol. 39, No. 2, p. 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, V. & Trappmann, M. (2024): Implementierung eines Web-basierten Datenerhebungsmodus in einem bestehenden Panel der Allgemeinbevölkerung: Eine Analyse der Selektions- & Messeffekte. (FDZ-Methodenreport 01/2024 (de)), Nürnberg, 74 p. 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, M., Haas, G., Zins, S., Altschul, S., Bellmann, L., Dummert, S., Haensch, A., Hensgen, S., Heusler, A., Ludsteck, J., Müller, B., Müller, D., Osiander, C., Schmidtke, J., Stephan, G., Trahms, A. & Wayment, H. (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 p. DOI:10.5164/IAB.FDZD.2401.de.v1
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Codebook and Documentation of the Panel Study „Labour Market and Social Security“ (PASS)
Berg, M., Cramer, R., Dickmann, C., Gilberg, R., Jesske, B., Kleudgen, M., Beste, J., Dummert, S., Frodermann, C., Malich, S., Schwarz, S., Wenzig, C., Trappmann, M., Bähr, S., Bömmel, N., Coban, M., Collischon, M., Gundert, S., Küfner, B., Mackeben, J., Müller, B., Stegmaier, J., Teichler, N. & Wunder, A. (2024): Codebook and Documentation of the Panel Study „Labour Market and Social Security“ (PASS). Datenreport Wave 16. (FDZ-Datenreport 12/2023 (en)), Nürnberg, 176 p. DOI:10.5164/IAB.FDZD.2312.en.v1
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IAB Establishment Panel (IAB-BP) 1993-2022
Bächmann, A., Bellmann, L., Gensicke, M., Kohaut, S., Möller, I., Schwengler, B., Tschersich, N. & Umkehrer, M. (2024): IAB Establishment Panel (IAB-BP) 1993-2022. (FDZ-Datenreport 16/2023 (en)), Nürnberg, 28 p. DOI:10.5164/IAB.FDZD.2316.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, R., Pirralha, A., Schlücker, F., Lechner, G. & Passmann, A. (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, Vol. 28, No. 1, p. 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, R., Calderwood, L., Henderson, M., Sakshaug, J. & Ploubidis, G. (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, Vol. 15, No. 2, p. 227-250. DOI:10.1332/17579597y2024d000000010
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The Role of Hyperparameters in Machine Learning Models and How to Tune them
Arnold, C., Biedebach, L., Küpfer, A. & Neunhoeffer, M. (2024): The Role of Hyperparameters in Machine Learning Models and How to Tune them. In: Political Science Research and Methods, Vol. 12, No. 4, p. 841-848. DOI:10.1017/psrm.2023.61