Post-randomization for controlling identification risk in releasing microdata from general surveys

DOI10.1080/02664763.2020.1732310OpenAlexW3008155635MaRDI QIDQ5861524

Cheng Zhang, Tapan K. Nayak

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1732310

zbMATH Keywords

data partitioningtotal variation distanceidentity disclosurekey variablepost-randomization blocksurvey weighted estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Statistical confidentiality. Principles and practice.
• Assessing the protection provided by misclassification-based disclosure limitation methods for survey microdata
• Elements of statistical disclosure control
• The Analysis of Randomized Response Sum Score Variables
• A Measure of Disclosure Risk for Microdata
• Randomized Response, Statistical Disclosure Control and Misclassificatio: a Review
• Introduction to variance estimation
• On Invariant Post‐randomization for Statistical Disclosure Control
• Measuring Identification Risk in Microdata Release and Its Control by Post‐randomisation

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