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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

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Daniel Beckler United States Department of Agriculture National Agricultural Statistics Service

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  1. 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 Slide 1 Slide Slide 1

  2. Slide 1 Slide Slide 2 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

  3. Slide 1 Slide Slide 3 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

  4. Slide 1 Slide Slide 4 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

  5. Slide 1 Slide Slide 5 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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