Presentation: SOLE 2016: Usage and outcomes of the Synthetic Data Server

dc.contributor.author	Vilhuber, Lars
dc.contributor.author	Abowd, John M.
dc.date.accessioned	2016-05-08T04:53:44Z
dc.date.available	2016-05-08T04:53:44Z
dc.date.issued	2016-05-07
dc.description	Presented at the Society of Labor Economists Annual Meeting in Seattle, WA on May 6, 2016; see http://www.sole-jole.org/2016ProgramOutline.html	en_US
dc.description.abstract	The Synthetic Data Server (SDS) at Cornell University was set up to provide early access to new synthetic data products by the U.S. Census Bureau. These datasets are made available to interested researchers in a controlled environment, prior to a more generalized release. Over the past 5 years, 4 synthetic datasets were made available on the server, and over 100 users have accessed the server over that time period. This paper reports on interim outcomes of the activity: results of validation requests from a user perspective, functioning of the feedback loop due to validation and user input, and the role of the SDS as an access gateway to and educational tool for other mechanisms of accessing detailed person, household, establishment, and firm statistics.	en_US
dc.description.sponsorship	NSF Grants 1042181 and 0941226, as well as funding from the Alfred P. Sloan Foundation.	en_US
dc.identifier.uri	https://hdl.handle.net/1813/43883
dc.language.iso	en_US	en_US
dc.subject	synthetic data	en_US
dc.subject	validation server	en_US
dc.title	Presentation: SOLE 2016: Usage and outcomes of the Synthetic Data Server	en_US
dc.type	presentation	en_US

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