IDEAS home Printed from https://ideas.repec.org/a/bla/istatr/v77y2009i2p196-211.html

Disclosure Control of Business Microdata: A Density‐Based Approach

Author

Listed:
  • Daniela Ichim

Abstract

For continuous key variables, a measure of the individual risk of disclosure is proposed. This risk measure, the local outlier factor, estimates the density around a unit. A selective masking method based on the nearest‐neighbour principle and microaggregation is also introduced. Some results of an application to the Italian sample of the Community Innovation Survey are presented. Pour les clefs d'identification continues, une mesure du risque individuel de réidentification est proposée. Cette mesure, le facteur de donnée aberrante locale, estime la densité autour d'une unité. Une méthode de protection sélective, basée sur le principe des plus proches unités et sur la micro‐agrégation, est également introduite. Des résultats de l'application à l'anonymisation de fichier de données individuelles provenant de l'échantillon italien de l'enquête « Community Innovation » sont presentés.

Suggested Citation

  • Daniela Ichim, 2009. "Disclosure Control of Business Microdata: A Density‐Based Approach," International Statistical Review, International Statistical Institute, vol. 77(2), pages 196-211, August.
    • Handle: RePEc:bla:istatr:v:77:y:2009:i:2:p:196-211
    DOI: 10.1111/j.1751-5823.2009.00079.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1751-5823.2009.00079.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1751-5823.2009.00079.x?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
    ---><---

    References listed on IDEAS

    as
    1. Paass, Gerhard, 1988. "Disclosure Risk and Disclosure Avoidance for Microdata," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(4), pages 487-500, October.
    2. Zeileis, Achim & Kleiber, Christian & Kramer, Walter & Hornik, Kurt, 2003. "Testing and dating of structural changes in practice," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 109-123, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chang, Bi-Juan & Hung, Mao-Wei, 2021. "Corporate debt and cash decisions: A nonlinear panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 15-37.
    2. Yonglin Shen & Xiuguo Liu, 2015. "Phenological Changes of Corn and Soybeans over U.S. by Bayesian Change-Point Model," Sustainability, MDPI, vol. 7(6), pages 1-23, May.
    3. Grinis, Inna, 2017. "Trend growth durations & shifts," LSE Research Online Documents on Economics 85126, London School of Economics and Political Science, LSE Library.
    4. Fan, Ying & Xu, Jin-Hua, 2011. "What has driven oil prices since 2000? A structural change perspective," Energy Economics, Elsevier, vol. 33(6), pages 1082-1094.
    5. Zaldívar, José-Manuel & Strozzi, Fernanda & Dueri, Sibylle & Marinov, Dimitar & Zbilut, Joseph P., 2008. "Characterization of regime shifts in environmental time series with recurrence quantification analysis," Ecological Modelling, Elsevier, vol. 210(1), pages 58-70.
    6. Boako, Gideon & Alagidede, Paul, 2017. "Co-movement of Africa’s equity markets: Regional and global analysis in the frequency–time domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 359-380.
    7. Patrik Nosil & Zachariah Gompert & Daniel J. Funk, 2024. "Divergent dynamics of sexual and habitat isolation at the transition between stick insect populations and species," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    8. Mario Cimoli & Jose Antonio Ocampo & Gabriel Porcile & Nunzia Saporito, 2020. "Choosing sides in the trilemma: international financial cycles and structural change in developing economies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 29(7), pages 740-761, October.
    9. De Santis, Paola & Drago, Carlo, 2014. "Asimmetria del rischio sistematico dei titoli immobiliari americani: nuove evidenze econometriche [Systematic Risk Asymmetry of the American Real Estate Securities: Some New Econometric Evidence]," MPRA Paper 59381, University Library of Munich, Germany.
    10. Casson, Catherine & Fry, J. M., 2011. "Revolutionary change and structural breaks: A time series analysis of wages and commodity prices in Britain 1264-1913," MPRA Paper 27866, University Library of Munich, Germany.
    11. Noriah Al-Kandari & Emad-Eldin Aly, 2014. "An ANOVA-type test for multiple change points," Statistical Papers, Springer, vol. 55(4), pages 1159-1178, November.
    12. Zeileis, Achim, 2006. "Implementing a class of structural change tests: An econometric computing approach," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 2987-3008, July.
    13. Shlomo, Natalie & Skinner, Chris J., 2010. "Assessing the protection provided by misclassification-based disclosure limitation methods for survey microdata," LSE Research Online Documents on Economics 39119, London School of Economics and Political Science, LSE Library.
    14. Ernesto Azzurro & Paula Moschella & Francesc Maynou, 2011. "Tracking Signals of Change in Mediterranean Fish Diversity Based on Local Ecological Knowledge," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-8, September.
    15. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2020. "Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis," JRFM, MDPI, vol. 13(10), pages 1-18, October.
    16. Aleš Toman, 2014. "Robust confirmatory factor analysis based on the forward search algorithm," Statistical Papers, Springer, vol. 55(1), pages 233-252, February.
    17. João Sousa Andrade & Adelaide Duarte & Marta Simões, 2011. "Inequality and Growth in Portugal: a time series analysis," GEMF Working Papers 2011-11, GEMF, Faculty of Economics, University of Coimbra.
    18. Badi H. Baltagi & Chihwa Kao & Long Liu, 2017. "Estimation and identification of change points in panel models with nonstationary or stationary regressors and error term," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 85-102, March.
    19. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2009. "How Stable Are Monetary Models of the Dollar-Euro Exchange Rate?: A Time-Varying Coefficient Approach," Discussion Papers of DIW Berlin 944, DIW Berlin, German Institute for Economic Research.
    20. Jose PINEDA & Rodolfo MÉNDEZ, 2009. "Fiscal Sustainability and Economic Growth in Bolivia," EcoMod2009 21500075, EcoMod.

    More about this item

    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:bla:istatr:v:77:y:2009:i:2:p:196-211. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/isiiinl.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.