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Measuring the Impact of Data Protection Techniques on Data Utility: Evidence from the Survey of Consumer Finances

  • Arthur Kennickell
  • Julia Lane
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4302)

Abstract

Despite the fact that much empirical economic research is based on public-use data files, the debate on the impact of disclosure protection on data quality has largely been conducted among statisticians and computer scientists. Remarkably, economists have shown very little interest in this subject, which has potentially profound implications for research. Without input from such subject-matter experts, statistical agencies may make decisions that unnecessarily obstruct analysis. This paper examines the impact of the application of disclosure protection techniques on a survey that is heavily used by both economists and policy-makers: the Survey of Consumer Finances. It evaluates the ability of different approaches to convey information about changes in data utility to subject matter experts.

Keywords

Data Utility Income Quintile Subject Matter Expert Consumer Finance Protection Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Arthur Kennickell
    • 1
  • Julia Lane
    • 2
  1. 1.Federal Reserve Board 
  2. 2.NORC/University of Chicago 

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