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Abstract Details
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Activity Number:
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666
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #302959 |
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Title:
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Disclosure Avoidance Techniques to Improve ACS Data Availability for Transportation Planners
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Author(s):
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Tanzy Love*+ and Stephen E. Fienberg
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Companies:
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University of Rochester and Carnegie Mellon University
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Address:
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601 Elmwood Ave; Box 630, Rochester, NY, 14642, USA
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Keywords:
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journey-to-work ;
synthetic data ;
contingency tables
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Abstract:
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Data dissemination rules initiated by the DRB can cause significant data loss because of many small cells. This report summarizes the development and testing of synthetic data techniques that the Census Bureau could employ to provide alternative data, particularly in regards to journey-to-work flow data at small geography from the Decennial Census. If disclosure-proofing is deemed necessary, using a form of data synthesis is probably the best approach from the viewpoint of the transportation planning data user. This research examines one alternative data synthesis approach that could be employed for journey-to-work tables, the Generalized Shuttle Algorithm.
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