Measuring the impact of data protection techniques on data utility: Evidence from the survey of consumer finances

Arthur Kennickell, Julia Lane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationPrivacy in Statistical Databases - CENEX-SDC Project International Conference, PSD 2006, Proceedings
PublisherSpringer Verlag
Pages291-303
Number of pages13
Volume4302
ISBN (Print)9783540493303
StatePublished - 2006
EventCENEX-SDC Project of International Conference on Privacy in Statistical Databases, PSD2006 - Rome, Italy
Duration: Dec 13 2006Dec 15 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4302
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherCENEX-SDC Project of International Conference on Privacy in Statistical Databases, PSD2006
CountryItaly
CityRome
Period12/13/0612/15/06

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kennickell, A., & Lane, J. (2006). Measuring the impact of data protection techniques on data utility: Evidence from the survey of consumer finances. In Privacy in Statistical Databases - CENEX-SDC Project International Conference, PSD 2006, Proceedings (Vol. 4302, pp. 291-303). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4302). Springer Verlag.