DATA UTILITY, CONFIDENTIALITY, AND THE PRODUCTION-POSSIBILITY FRONTIER:
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DATA UTILITY, CONFIDENTIALITY, AND THE PRODUCTION-POSSIBILITY FRONTIER: STRIKING A DELICATE BALANCE. Daniel Beckler United States Department of Agriculture National Agricultural Statistics Service Timothy Mulcahy NORC at the University of Chicago

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Daniel beckler united states department of agriculture national agricultural statistics service

DATA UTILITY, CONFIDENTIALITY, AND THE PRODUCTION-POSSIBILITY FRONTIER:

STRIKING A DELICATE BALANCE

Daniel Beckler

United States Department of Agriculture

National Agricultural Statistics Service

Timothy Mulcahy

NORC at the University of Chicago

Topic (ix): Statistical disclosure limitation for table and analysis servers: how to make outputs of modern data access infrastructures safe

UNECE/Eurostat Work Session on Statistical Data Confidentiality

Tarragona, Spain •26-28 October 2011

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Overview of microdata dissemination techniques

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Overview of Microdata Dissemination Techniques

  • Public Use Files

  • Online Statistical Data Cubes and Tabulation Engines

  • Remote Batch Processing

  • Synthetic Microdata

  • Remote and Physical Data Enclaves

  • With these methods, there is a trade-off between disclosure risk, the amount of analytic utility, and the ease of access.

UNECE/Eurostat Work Session on Statistical Data Confidentiality

Tarragona, Spain •26-28 October 2011


National agricultural statistics service

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National Agricultural Statistics Service

  • United States Department of Agriculture

  • Conducts censuses & surveys on U.S.’s farm population.

  • Generates official USDA agricultural statistics, many impact global commodity markets

  • Paper discusses how NASS protects the confidentiality of microdata, while providing as much analytical utility as possible to the users of the official statistics as well as researchers.

UNECE/Eurostat Work Session on Statistical Data Confidentiality

Tarragona, Spain •26-28 October 2011


United states census of agriculture

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United States Census of Agriculture

  • Conducted every 5 years. Produces very detailed data at the U.S., state, and county (i.e., sub-state) levels.

  • Data for individual agricultural operations are protected from disclosure in published totals by using a threshold rule and a dominance rule

  • Primary suppressions result directly from these rules

  • Complementary suppressions are then determined to ensure primary suppressions may not be calculated from published data.

UNECE/Eurostat Work Session on Statistical Data Confidentiality

Tarragona, Spain •26-28 October 2011


United states census of agriculture1

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United States Census of Agriculture

  • Loss of utility of the Census due to suppressions:

UNECE/Eurostat Work Session on Statistical Data Confidentiality

Tarragona, Spain •26-28 October 2011


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