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来源类型Research Report
规范类型报告
Safely Expanding Research Access to Administrative Tax Data: Creating a Synthetic Public Use File and a Validation Server
Leonard E. Burman; Alex Engler; Surachai Khitatrakun; James R. Nunns; Sarah Armstrong; John Iselin; Graham MacDonald; Philip Stallworth
发表日期2018-10-25
出版年2018
语种英语
概述Administrative tax data contain a wealth of information that is potentially valuable for research and analysis. However, the legal and ethical imperative to protect taxpayer privacy has restricted their access to a small number of government analysts and select researchers. We propose to develop, in consultation with the experts at the Statistics of Income Division of the Internal Revenue Service (IRS), a fully
摘要
Administrative tax data contain a wealth of information that is potentially valuable for research and analysis. However, the legal and ethical imperative to protect taxpayer privacy has restricted their access to a small number of government analysts and select researchers. We propose to develop, in consultation with the experts at the Statistics of Income Division of the Internal Revenue Service (IRS), a fully synthetic tax database—that is, a file that preserves many of the statistical characteristics of the restricted data without containing any identifiable tax return information. Working with the IRS, we also hope to develop a procedure for researchers to submit their statistical programs, which have been tested on the synthetic data, to run on IRS computers, subject to a review to guarantee that their output satisfies disclosure avoidance protocols. This paper discusses the current methodology used to produce public use datasets, surveys the literature on synthetic data and privacy protection, outlines our proposed plan to produce a synthetic file, and discusses special challenges.
主题Taxes and Budget ; Research Methods and Data Analytics
URLhttps://www.urban.org/research/publication/safely-expanding-research-access-administrative-tax-data-creating-synthetic-public-use-file-and-validation-server
来源智库Urban Institute (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/480384
推荐引用方式
GB/T 7714
Leonard E. Burman,Alex Engler,Surachai Khitatrakun,et al. Safely Expanding Research Access to Administrative Tax Data: Creating a Synthetic Public Use File and a Validation Server. 2018.
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