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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.
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主题 | Taxes and Budget ; Research Methods and Data Analytics |
URL | https://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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
safely_expanding_res(475KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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