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Output-based disclosure control for regressions

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  • Felix Richie

    () (University of the West of England, Bristol)

Abstract

Many recent developments in social science research, especially economics, have arisen from the increased availability of confidential government microdata, often in controlled environments. Output-based statistical disclosure control is increasingly important for making effective use of this resource. A central topic is whether the most common analytical tool, multiple regression, is ‘safe’ for release. This is a relatively unexplored field: only a handful of papers have been produced over the last decade and the main reference for practitioners is an unreviewed internal document. This paper analyses the disclosure risks of linear regressions, and demonstrates that, even in the best-case scenario for an intruder, regression results are fundamentally non-disclosive and so come within the class of ‘safe statistics’. It shows that conflicting results in papers reflect institutional perceptions, not statistical matters. It notes that simple rules can both guarantee confidentiality and provide measures of the best approximation to confidential data. It discusses a number of statistical concerns that are shown to be misguided. Finally, it summarises these results to produce formal guidelines for data owners managing controlled environments.

Suggested Citation

  • Felix Richie, 2012. "Output-based disclosure control for regressions," Working Papers 20121209, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
  • Handle: RePEc:uwe:wpaper:20121209
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    File URL: http://www2.uwe.ac.uk/faculties/BBS/BUS/Research/economics2012/1209.pdf
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    1. Brunetti, Aymo & Weder, Beatrice, 2003. "A free press is bad news for corruption," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1801-1824, August.
    2. Razafindrakoto, Mireille & Roubaud, François, 2010. "Are International Databases on Corruption Reliable? A Comparison of Expert Opinion Surveys and Household Surveys in Sub-Saharan Africa," World Development, Elsevier, vol. 38(8), pages 1057-1069, August.
    3. Pack, Howard & Pack, Janet Rothenberg, 1990. "Is Foreign Aid Fungible? The Case of Indonesia," Economic Journal, Royal Economic Society, vol. 100(399), pages 188-194, March.
    4. Jakob Svensson, 2003. "Who Must Pay Bribes and How Much? Evidence from a Cross Section of Firms," The Quarterly Journal of Economics, Oxford University Press, vol. 118(1), pages 207-230.
    5. Hunt, Jennifer, 2007. "How corruption hits people when they are down," Journal of Development Economics, Elsevier, pages 574-589.
    6. Naci Mocan, 2008. "What Determines Corruption? International Evidence From Microdata," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 493-510, October.
    7. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, pages 25-55.
    8. Shang-Jin Wei, 2000. "How Taxing is Corruption on International Investors?," The Review of Economics and Statistics, MIT Press, pages 1-11.
    9. Krisztina Kis-Katos & Günther G. Schulze, 2013. "Corruption in Southeast Asia: a survey of recent research," Asian-Pacific Economic Literature, Asia Pacific School of Economics and Government, The Australian National University, vol. 27(1), pages 79-109, May.
    10. Pack, Howard & Pack, Janet Rothenberg, 1993. "Foreign Aid and the Question of Fungibility," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 258-265, May.
    11. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    12. Johann Graf Lambsdorff, 2003. "How Corruption Affects Productivity," Kyklos, Wiley Blackwell, vol. 56(4), pages 457-474, November.
    13. Stephen Everhart & Jorge Martinez- Vazquez & Robert McNab, 2009. "Corruption, governance, investment and growth in emerging markets," Applied Economics, Taylor & Francis Journals, vol. 41(13), pages 1579-1594.
    14. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
    15. Edward L. Glaeser & David I. Laibson & José A. Scheinkman & Christine L. Soutter, 2000. "Measuring Trust," The Quarterly Journal of Economics, Oxford University Press, vol. 115(3), pages 811-846.
      • Glaeser, Edward Ludwig & Laibson, David I. & Scheinkman, Jose A. & Soutter, Christine L., 2000. "Measuring Trust," Scholarly Articles 4481497, Harvard University Department of Economics.
    16. Abdiweli M. Ali & Hoden Said Isse, 2003. "Determinants of Economic Corruption: A Cross-Country Comparison," Cato Journal, Cato Journal, Cato Institute, vol. 22(3), pages 449-466, Winter.
    17. Vivi Alatas & Lisa Cameron & Ananish Chaudhuri & Nisvan Erkal & Lata Gangadharan, 2009. "Gender, Culture, and Corruption: Insights from an Experimental Analysis," Southern Economic Journal, Southern Economic Association, vol. 75(3), pages 663-680, January.
    18. Noel Johnson & Courtney LaFountain & Steven Yamarik, 2011. "Corruption is bad for growth (even in the United States)," Public Choice, Springer, vol. 147(3), pages 377-393, June.
    19. Knack, Stephen, 2007. "Measuring Corruption: A Critique of Indicators in Eastern Europe and Central Asia," Journal of Public Policy, Cambridge University Press, vol. 27(03), pages 255-291, December.
    20. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, November.
    21. Seligson, Mitchell A., 2006. "The Measurement and Impact of Corruption Victimization: Survey Evidence from Latin America," World Development, Elsevier, vol. 34(2), pages 381-404, February.
    22. Egger, Peter & Winner, Hannes, 2006. "How Corruption Influences Foreign Direct Investment: A Panel Data Study," Economic Development and Cultural Change, University of Chicago Press, vol. 54(2), pages 459-486, January.
    23. Truex, Rory, 2011. "Corruption, Attitudes, and Education: Survey Evidence from Nepal," World Development, Elsevier, vol. 39(7), pages 1133-1142, July.
    24. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
    25. Eric M. Uslaner, 2008. "The foundations of trust: macro and micro," Cambridge Journal of Economics, Oxford University Press, vol. 32(2), pages 289-294, March.
    26. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 129-137.
    27. Olken, Benjamin A., 2009. "Corruption perceptions vs. corruption reality," Journal of Public Economics, Elsevier, pages 950-964.
    28. Sanjeev Gupta & Hamid Davoodi & Rosa Alonso-Terme, 2002. "Does corruption affect income inequality and poverty?," Economics of Governance, Springer, vol. 3(1), pages 23-45, March.
    29. Alvaro Cuervo-Cazurra, 2006. "Who cares about corruption?," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 37(6), pages 807-822, November.
    30. Di Tella, Rafael & Schargrodsky, Ernesto, 2003. "The Role of Wages and Auditing during a Crackdown on Corruption in the City of Buenos Aires," Journal of Law and Economics, University of Chicago Press, vol. 46(1), pages 269-292, April.
    31. M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters,in: Regional Climate Change and Variability, chapter 1 Edward Elgar Publishing.
    32. Chang-Tai Hsieh & Enrico Moretti, 2006. "Did Iraq Cheat the United Nations? Underpricing, Bribes, and the Oil for Food Program," The Quarterly Journal of Economics, Oxford University Press, vol. 121(4), pages 1211-1248.
    33. Iwasaki, Ichiro & Suzuki, Taku, 2012. "The determinants of corruption in transition economies," Economics Letters, Elsevier, vol. 114(1), pages 54-60.
    34. Van Rijckeghem, Caroline & Weder, Beatrice, 2001. "Bureaucratic corruption and the rate of temptation: do wages in the civil service affect corruption, and by how much?," Journal of Development Economics, Elsevier, vol. 65(2), pages 307-331, August.
    35. Ritva Reinikka & Jakob Svensson, 2004. "Local Capture: Evidence from a Central Government Transfer Program in Uganda," The Quarterly Journal of Economics, Oxford University Press, vol. 119(2), pages 679-705.
    36. Guerrero, Manuel Alejandro & Rodriguez-Oreggia, Eduardo, 2008. "On the individual decisions to commit corruption: A methodological complement," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 357-372, February.
    37. de Jong, Eelke & Bogmans, Christian, 2011. "Does corruption discourage international trade?," European Journal of Political Economy, Elsevier, vol. 27(2), pages 385-398, June.
    38. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 110(3), pages 681-712.
    39. Staffan Andersson & Paul M. Heywood, 2009. "The Politics of Perception: Use and Abuse of Transparency International's Approach to Measuring Corruption," Political Studies, Political Studies Association, vol. 57, pages 746-767, December.
    40. repec:dau:papers:123456789/4352 is not listed on IDEAS
    41. Hunt, Jennifer & Laszlo, Sonia, 2012. "Is Bribery Really Regressive? Bribery’s Costs, Benefits, and Mechanisms," World Development, Elsevier, vol. 40(2), pages 355-372.
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    More about this item

    Keywords

    Statistical disclosure control; principles-based; safe statistics; controlled environments; regression;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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