When privacy protection goes wrong: How and why the 2020 census confidentiality program failed (Record no. 527088)
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| 000 -LEADER | |
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| fixed length control field | 01950nam a22001577a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240802b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ruggles, Steven |
| 245 ## - TITLE STATEMENT | |
| Title | When privacy protection goes wrong: How and why the 2020 census confidentiality program failed |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | The Journal of Economic Perspectives |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 38(2), Spring, 2024: p.201-226 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The US Census Bureau implemented a new disclosure control strategy for the 2020 Census that adds deliberate error to every population statistic for every geographic unit smaller than a state, including metropolitan areas, cities, and counties. This article traces the evolving rationale for the new procedures and assesses the impact of the 2020 disclosure control on data quality. The Census Bureau argues that the traditional disclosure controls used for the 2010 and earlier censuses revealed the confidential responses of millions of Americans. I argue that this claim is unsupported, and that there is no evidence that anyone's responses were compromised. The new disclosure control strategies introduce unnecessary error with no clear benefit; in fact, the new procedures may actually be less effective for protecting confidentiality than the procedures they replaced. I conclude with recommendations for minimizing disclosure risk while maximizing data utility in future censuses.-Reproduced https://www.aeaweb.org/articles?id=10.1257/jep.38.2.201 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Census Bureau, Disclosure control, Population statistics, Data quality, Confidentiality risk, Geographic units, Metropolitan areas, Cities and counties, Deliberate error, Traditional procedures, 2020 Census, 2010 Census, Privacy protection, Data utility, Statistical integrity, Policy evaluation, Confidential responses, Procedural critique, Future recommendations, United States Census |
| 9 (RLIN) | 56194 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | The Journal of Economic Perspectives |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| Subject DIP | POPULATION |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2024-08-02 | 38(2), Spring, 2024: p.201-226 | AR132552 | 2024-08-02 | Articles |