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  • Search: subject:"noise addition"
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Year of publication
Subject
All
SIMEX procedure 2 anonymization 2 misclassification 2 noise addition 2 post-randomization 2 statistical disclosure 2 Analytic validity 1 Confidentiality 1 Multiple imputation 1 Noise addition 1 QuarterlyWorkforce Indicators 1
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Online availability
All
Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
All
Working Paper 1
Language
All
English 2 Undetermined 1
Author
All
Ronning, Gerd 2 Rosemann, Martin 2 Abowd, John 1 Stephens, Bryce 1 Vilhuber, Lars 1
Institution
All
Census Bureau, Department of Commerce 1 Institut für Angewandte Wirtschaftsforschung (IAW) 1
Published in...
All
IAW Discussion Papers 1 IAW Diskussionspapiere 1 Longitudinal Employer-Household Dynamics Technical Papers 1
Source
All
RePEc 2 EconStor 1
Showing 1 - 3 of 3
Cover Image
Estimation of the Probit Model from Anonymized Micro Data
Ronning, Gerd; Rosemann, Martin - 2006
The demand of scientists for confidential micro data from official sources has created discussion of how to anonymize these data in such a way that they can be given to the scientific community. We report results from a German project which exploits various options of anonymization for producing...
Persistent link: https://www.econbiz.de/10010262864
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Cover Image
Confidentiality Protection in the Census Bureau Quarterly Workforce Indicators
Abowd, John; Stephens, Bryce; Vilhuber, Lars - Census Bureau, Department of Commerce - 2006
The QuarterlyWorkforce Indicators are new estimates developed by the Census Bureau’s Longitudinal Employer-Household Dynamics Program as a part of its Local Employment Dynamics partnership with 37 state Labor Market Information offices. These data provide detailed quarterly statistics on...
Persistent link: https://www.econbiz.de/10005581922
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Cover Image
Estimation of the Probit Model from Anonymized Micro Data
Ronning, Gerd; Rosemann, Martin - Institut für Angewandte Wirtschaftsforschung (IAW) - 2006
The demand of scientists for confidential micro data from official sources has created discussion of how to anonymize these data in such a way that they can be given to the scientific community. We report results from a German project which exploits various options of anonymization for producing...
Persistent link: https://www.econbiz.de/10005558221
Saved in:
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