Measurement error and statistical disclosure control

Shlomo, Natalie (2010) Measurement error and statistical disclosure control , Southampton, GB Southampton Statistical Sciences Research Institute, University of Southampton (S3RI Methodology Working Papers, M10/05).


[img] PDF s3ri-workingpaper-M10-05.pdf - Other
Download (103kB)


Statistical agencies release microdata to researchers after applying statistical disclosure control (SDC) methods. Noise addition is a perturbative SDC method which is carried out by adding independent random noise to a continuous variable or by misclassifying values of a categorical variable according to a probability mechanism. Because these errors are purposely introduced into the data by the statistical agency, the perturbation parameters are known and can be used by researchers to adjust statistical inference through measurement error models. However, statistical agencies rarely release perturbation parameters and therefore modifications to SDC methods are proposed that a priori ensure valid inferences on perturbed datasets.

Item Type: Monograph (Working Paper)
Keywords: Additive noise, post-randomisation method, reliability ratio
ePrint ID: 160659
Date :
Date Event
16 July 2010Published
Date Deposited: 16 Jul 2010 10:20
Last Modified: 18 Apr 2017 03:49
Further Information:Google Scholar

Actions (login required)

View Item View Item