IDEAS home Printed from https://ideas.repec.org/a/aea/jecper/v38y2024i2p201-26.html
   My bibliography  Save this article

When Privacy Protection Goes Wrong: How and Why the 2020 Census Confidentiality Program Failed

Author

Listed:
  • Steven Ruggles

Abstract

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.

Suggested Citation

  • Steven Ruggles, 2024. "When Privacy Protection Goes Wrong: How and Why the 2020 Census Confidentiality Program Failed," Journal of Economic Perspectives, American Economic Association, vol. 38(2), pages 201-226, Spring.
  • Handle: RePEc:aea:jecper:v:38:y:2024:i:2:p:201-26
    DOI: 10.1257/jep.38.2.201
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/jep.38.2.201
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/jep.38.2.201.ds
    Download Restriction: no

    File URL: https://libkey.io/10.1257/jep.38.2.201?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:jecper:v:38:y:2024:i:2:p:201-26. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.