NDLI: Quantile-based bootstrap methods to generate continuous synthetic data

Content Provider	ACM Digital Library
Author	Ichim, Daniela
Abstract	To face the increasing demand from users, National Statistical Institutes (NSI) release different information products. The dissemination of this information should be performed in full compliance with the regulations pertaining to the privacy of respondents. One product that could belong to a dissemination portfolio is represented by synthetic data. In this paper a very brief review of several methods to generate synthetic data is given. The emphasis is put on bootstrap methods that might be used in complex surveys. A quantile-based bootstrap method is proposed, avoiding any model assumption. Different bootstrap strategies were empirically compared from the point of view of some univariate statistics and in a linear regression framework. The Italian Structure of Earnings Survey 2006 data were used in these preliminary experiments.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781605589909
DOI	10.1145/1754239.1754276
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-03-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Microdata dissemination Privacy Statistical disclosure control Bootstrap Data utility Synthetic data
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Quantile-based bootstrap methods to generate continuous synthetic data