Publications: Statistical Methods (KEM)
-
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.
-
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
-
Assessing and Improving Data Quality in Linked Panel Surveys - With a Focus on Panel and Linkage Consent (Bias)
Hülle, S. (2024): Assessing and Improving Data Quality in Linked Panel Surveys - With a Focus on Panel and Linkage Consent (Bias). Bielefeld, 197 p. DOI:10.4119/unibi/2992206
-
Panel Lebensqualität und Teilhabe - Feld- und Methodenbericht der Welle 2
Hülle, S., Bömmel, N., Coban, M., Fössing, E., Friedrich, M., Gricevic, Z., Kasrin, Z., Kleinemeier, R., Meß, A., Schiele, M., Trappmann, M., Wagemann, U., Wenzig, C., Wolff, J., Zabel, C. & Zins, S. (2023): Panel Lebensqualität und Teilhabe - Feld- und Methodenbericht der Welle 2. (IAB-Forschungsbericht 20/2023), Nürnberg, 97 p. DOI:10.48720/IAB.FB.2320
-
Bayesian Integration of Probability and Nonprobability Samples for Logistic Regression
Salvatore, C., Biffignandi, S., Sakshaug, J., Wiśniowski, A. & Struminskaya, B. (2024): Bayesian Integration of Probability and Nonprobability Samples for Logistic Regression. In: Journal of survey statistics and methodology, Vol. 12, No. 2, p. 458-492. DOI:10.1093/jssam/smad041
-
An overview of data protection strategies for individual-level geocoded data
Steffen, M., Körner, K. & Drechsler, J. (2023): An overview of data protection strategies for individual-level geocoded data. In: United Nations Economic Commission for Europe (Hrsg.) (2023): UNECE Expert meeting on Statistical Data Confidentiality 2023, p. 1-13.
-
Putting knowledge and technology to work: A look at EU innovation output
Bello, M., Caperna, G., Damioli, G., Smallenbroek, O. & Steffen, M. (2023): Putting knowledge and technology to work: A look at EU innovation output. (JRC science for policy brief), Luxemburg: Publications Office of the European Union, 4 p.
-
Interviewer Effects on the Measurement of Physical Performance in a Cross-National Biosocial Survey
Waldmann, S., Sakshaug, J. & Cernat, A. (2024): Interviewer Effects on the Measurement of Physical Performance in a Cross-National Biosocial Survey. In: Journal of survey statistics and methodology, Vol. 12, No. 4, p. 961-986. DOI:10.1093/jssam/smad031
-
The IAB-SMART-Mobility Module: An Innovative Research Dataset with Mobility Indicators Based on Raw Geodata
Zimmermann, F., Filser, A., Haas, G. & Bähr, S. (2024): The IAB-SMART-Mobility Module: An Innovative Research Dataset with Mobility Indicators Based on Raw Geodata. In: Jahrbücher für Nationalökonomie und Statistik, Vol. 244, No. 5-6, p. 685-698. DOI:10.1515/jbnst-2023-0051
-
FDI and onshore task composition: evidence from German firms with affiliates in the Czech Republic
Körner, K. & Le Moigne, M. (2023): FDI and onshore task composition: evidence from German firms with affiliates in the Czech Republic. In: Journal for labour market research, Vol. 57. DOI:10.1186/s12651-023-00346-7
-
How to improve the substantive interpretation of regression results when the dependent variable is logged
Rittmann, O., Neunhoeffer, M. & Gschwend, T. (2025): How to improve the substantive interpretation of regression results when the dependent variable is logged. In: Political Science Research and Methods, Vol. 13, No. 1, p. 203-211. DOI:10.1017/psrm.2023.29
-
Nonresponse trends in establishment panel surveys: findings from the 2001–2017 IAB establishment panel
König, C. & Sakshaug, J. (2023): Nonresponse trends in establishment panel surveys: findings from the 2001–2017 IAB establishment panel. In: Journal for labour market research, Vol. 57. DOI:10.1186/s12651-023-00349-4
-
Imputation der rechtszensierten Tagesentgelte für die BeH
Drechsler, J., Ludsteck, J. & Moczall, A. (2023): Imputation der rechtszensierten Tagesentgelte für die BeH. (FDZ-Methodenreport 05/2023 (de)), Nürnberg, 25 p. DOI:10.5164/IAB.FDZM.2305.de.v1
-
To Link or Synthesize? An Approach to Data Quality Comparison
Smith, D., Elliot, M. & Sakshaug, J. (2023): To Link or Synthesize? An Approach to Data Quality Comparison. In: Journal of Data and Information Quality, Vol. 15, No. 2, p. 1-20. DOI:10.1145/3580487
-
Ethical Considerations for Augmenting Surveys with Auxiliary Data Sources
Struminskaya, B. & Sakshaug, J. (2023): Ethical Considerations for Augmenting Surveys with Auxiliary Data Sources. In: Public opinion quarterly, Vol. 87, No. S1, p. 619-633. DOI:10.1093/poq/nfad030
-
Augmenting Surveys with Paradata, Administrative Data, and Contextual Data
Sakshaug, J. & Struminskaya, B. (2023): Augmenting Surveys with Paradata, Administrative Data, and Contextual Data. In: Public opinion quarterly, Vol. 87, No. S1, p. 475-479. DOI:10.1093/poq/nfad026
-
Tracking country innovation performance: The Innovation Output Indicator 2022
Bello, M., Caperna, G., Damioli, G., Smallenbroek, O. & Steffen, M. (2023): Tracking country innovation performance: The Innovation Output Indicator 2022. (JRC technical report), Luxemburg: Publications Office of the European Union, 55 p. DOI:10.2760/346938
-
Recent Advances in Data Integration
Sakshaug, J. & Steorts, R. (2023): Recent Advances in Data Integration. In: Journal of survey statistics and methodology, Vol. 11, No. 3, p. 513-517. DOI:10.1093/jssam/smad009
-
Regional Labour Market Forecasts March 2024
Heining, J., Jahn, D., Körner, K., Rossen, A., Teichert, C. & Weyh, A. (2024): Regional Labour Market Forecasts March 2024. Current Data and Indicators. (Institut für Arbeitsmarkt- und Berufsforschung. Aktuelle Daten und Indikatoren 01/2024 (en)), Nürnberg, 22 p. DOI:10.48720/IAB.RA.241.en
-
Differential Privacy for Government Agencies - Are We There Yet?
Drechsler, J. (2023): Differential Privacy for Government Agencies - Are We There Yet? In: Journal of the American Statistical Association, Vol. 118, No. 541, p. 761-773. DOI:10.1080/01621459.2022.2161385