A new approach for disclosure control in the IAB Establishment Panel : multiple imputation for a better data access
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Cited by:
- Jörg Drechsler, 2015. "Multiple Imputation of Multilevel Missing Data—Rigor Versus Simplicity," Journal of Educational and Behavioral Statistics, , vol. 40(1), pages 69-95, February.
- Andrés F. Barrientos & Alexander Bolton & Tom Balmat & Jerome P. Reiter & John M. de Figueiredo & Ashwin Machanavajjhala & Yan Chen & Charles Kneifel & Mark DeLong, 2017. "A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government," NBER Working Papers 23534, National Bureau of Economic Research, Inc.
- Maurice Brandt & Dirk Oberschachtsiek & Ramona Pohl, 2008. "Neue Datenangebote in den Forschungsdatenzentren – Betriebs- und Unternehmensdaten im Längsschnitt –," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 2(3), pages 193-207, October.
- Gerd Ronning, 2014. "Vertraulichkeit und Verfügbarkeit von Mikrodaten," IAW Discussion Papers 101, Institut für Angewandte Wirtschaftsforschung (IAW).
- Drechsler, Jörg & Reiter, Jerome P., 2011. "An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3232-3243, December.
- Jörg Höhne, 2008. "Anonymisierungsverfahren für Paneldaten," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 2(3), pages 259-275, October.
- Ulrich Kaiser & Joachim Wagner, 2008.
"Neue Möglichkeiten zur Nutzung vertraulicher amtlicher Personen‐ und Firmendaten,"
Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(3), pages 329-349, August.
- Ulrich Kaiser & Joachim Wagner, 2007. "Neue Möglichkeiten zur Nutzung vertraulicher amtlicher Personen- und Firmendaten," Working Paper Series in Economics 48, University of Lüneburg, Institute of Economics.
- Reiter, Jerome P. & Drechsler, Jörg, 2007. "Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality," IAB-Discussion Paper 200720, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Jahangir Alam M. & Dostie Benoit & Drechsler Jörg & Vilhuber Lars, 2020.
"Applying data synthesis for longitudinal business data across three countries,"
Statistics in Transition New Series, Statistics Poland, vol. 21(4), pages 212-236, August.
- M. Jahangir Alam & Benoit Dostie & Jorg Drechsler & Lars Vilhuber, 2020. "Applying Data Synthesis for Longitudinal Business Data across Three Countries," Papers 2008.02246, arXiv.org.
- Loong Bronwyn & Rubin Donald B., 2017. "Multiply-Imputed Synthetic Data: Advice to the Imputer," Journal of Official Statistics, Sciendo, vol. 33(4), pages 1005-1019, December.
- Jerome P. Reiter, 2009. "Using Multiple Imputation to Integrate and Disseminate Confidential Microdata," International Statistical Review, International Statistical Institute, vol. 77(2), pages 179-195, August.
- repec:iab:iabfme:200702(de is not listed on IDEAS
- Stefan Liebig, 2009. "Organizational Data," RatSWD Working Papers 67, German Data Forum (RatSWD).
- Jan Pablo Burgard & Jan-Philipp Kolb & Hariolf Merkle & Ralf Münnich, 2017. "Synthetic data for open and reproducible methodological research in social sciences and official statistics," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 11(3), pages 233-244, December.
- Drechsler, Jörg, 2011. "Methodenreport: Synthetische Scientific-Use-Files der Welle 2007 des IAB-Betriebspanels," FDZ Methodenreport 201101_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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Keywords
Datenaufbereitung ; Datenschutz ; Datensicherheit ; IAB-Betriebspanel ; Datenanonymisierung ; Imputationsverfahren;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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