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Estimating suppressed data in regional economic databases: A goal-programming approach

  • Zhang, Sumei
  • Guldmann, Jean-Michel
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    To avoid disclosure of individual establishment information, data records may have to be suppressed in regional economic databases, with values represented by flags. This paper investigates this suppression process and presents a goal-programming optimization approach to estimate these flagged data, using the 2000 County Business Patterns (CBP) database as a case study. The approach minimizes the sum of weighted deviations between the estimates and target values, subject to constraints related to county and sector total employment, as well as to flag and establishment size intervals. The model is tested using Ohio and Arizona data, for both sources of inconsistencies and parameter selection. A decision-theoretic analysis of the test results points to specific strategies that yield the best estimates of the suppressed data.

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    File URL: http://www.sciencedirect.com/science/article/B6VCT-4PRRBM8-5/2/ca916e812b10e7e64ff6ad4c8bee83af
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 192 (2009)
    Issue (Month): 2 (January)
    Pages: 521-537

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    Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:521-537
    Contact details of provider: Web page: http://www.elsevier.com/locate/eor

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    1. Angelos Pagoulatos & Stephan J. Goetz & David L. Debertin & Tulin Johannson, 2004. "Interactions Between Economic Growth and Environmental Quality in U.S. Counties," Growth and Change, Wiley Blackwell, vol. 35(1), pages 90-108.
    2. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    3. Gerald Carlino & Satyajit Chatterjee, 2002. "Employment Deconcentration: A New Perspective on America's Postwar Urban Evolution," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 445-475.
    4. Henderson, Vernon, 1997. "Externalities and Industrial Development," Journal of Urban Economics, Elsevier, vol. 42(3), pages 449-470, November.
    5. Matteo Fischetti & Juan José Salazar, 2001. "Solving the Cell Suppression Problem on Tabular Data with Linear Constraints," Management Science, INFORMS, vol. 47(7), pages 1008-1027, July.
    6. Salazar-Gonzalez, Juan-Jose, 2004. "Mathematical models for applying cell suppression methodology in statistical data protection," European Journal of Operational Research, Elsevier, vol. 154(3), pages 740-754, May.
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