Skip to main content

Multiple imputation: an alternative to top coding for statistical disclosure control

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

Summary. 

Top coding of extreme values of variables like income is a common method of statistical disclosure control, but it creates problems for the data analyst. The paper proposes two alternative methods to top coding for statistical disclosure control that are based on multiple imputation. We show in simulation studies that the multiple-imputation methods provide better inferences of the publicly released data than top coding, using straightforward multiple-imputation methods of analysis, while maintaining good statistical disclosure control properties. We illustrate the methods on data from the 1995 Chinese household income project.

Keywords: Confidentiality; Disclosure protection; Multiple imputation

Document Type: Research Article

DOI: https://doi.org/10.1111/j.1467-985X.2007.00492.x

Affiliations: University of Michigan, Ann Arbor, USA

Publication date: 2007-10-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more