Publications on the topic: Research Data and Methods - IAB - Institut für Arbeitsmarkt- und Berufsforschung

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Total hits 1.019

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
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
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
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
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
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.
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.
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
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
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
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
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
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
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
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
Data quality control in the 6th wave of the IAB-BAMF-SOEP Survey of Refugees, samples M3-M6

Schwanhäuser, S. & Olbrich, L. (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 p.
Linking graduate data from the Nuremberg Institute of Technology and administrative labor market biography data from the Institute for Employment Research

Antoni, M., Drewes, T., Gerner, H., Jäckle, R. & Schwarz, S. (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 p.
Re-identification potential of structured health data

Drechsler, J. & Pauly, H. (2024): Das Reidentifikationspotenzial von strukturierten Gesundheitsdaten. In: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, Vol. 67, p. 164-170. DOI:10.1007/s00103-023-03820-2
Kleinräumige Bevölkerungsprojektionen

Vanella, P., Hellwagner, T., Deschermeier, P. & Kissling, M. (2024): Kleinräumige Bevölkerungsprojektionen. Bedeutung, Herausforderungen, Potenziale. In: Stadtforschung und Statistik, Vol. 37, No. 2, p. 54-64.
Detecting Interviewer Falsification in Surveys – A Guide for Improving Quality Controls

Schwanhäuser, S. (2024): Detecting Interviewer Falsification in Surveys – A Guide for Improving Quality Controls. 260 p.