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Divining the Level of Corruption. A Bayesian State-Space Approach

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  • S. Standaert

Abstract

This paper outlines a new methodological framework for combining indicators of corruption. The methodology of the World Governance Indicators is extended to fully make use of the time-structure present in corruption data. The resulting state-space framework is estimated using a Bayesian Gibbs sampler algorithm. The state-space framework holds many advantages from a practical, an estimation and a theoretical point of view. Most importantly, the indicator significantly increases data availability while at the same time addressing the selection bias issues that plague the CPI and WGI indexes. It produces estimates that are more stable and reliable. Because the estimation framework is transparent and data is entered without any manipulations, the resulting indicator should also be more objective.

Suggested Citation

  • S. Standaert, 2013. "Divining the Level of Corruption. A Bayesian State-Space Approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/835, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:13/835
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    References listed on IDEAS

    as
    1. Thomas Roca, 2011. "Measuring corruption: perception surveys or victimization surveys?," Working Papers hal-00625179, HAL.
    2. Givens, David, 2013. "Defining governance matters: A factor analytic assessment of governance institutions," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1026-1053.
    3. Koop,Gary & Poirier,Dale J. & Tobias,Justin L., 2007. "Bayesian Econometric Methods," Cambridge Books, Cambridge University Press, number 9780521671736, June.
    4. Kaufmann, Daniel & Kraay, Aart & Mastruzzi, Massimo, 2007. "The worldwide governance indicators project : answering the critics," Policy Research Working Paper Series 4149, The World Bank.
    5. Daniel Kaufmann & Aart Kraay & Massimo Mastruzzi, 2004. "Governance Matters III: Governance Indicators for 1996, 1998, 2000, and 2002," The World Bank Economic Review, World Bank, vol. 18(2), pages 253-287.
    6. Chan,Joshua & Koop,Gary & Poirier,Dale J. & Tobias,Justin L., 2019. "Bayesian Econometric Methods," Cambridge Books, Cambridge University Press, number 9781108423380, November.
    7. Høyland, Bjørn & Moene, Karl & Willumsen, Fredrik, 2012. "The tyranny of international index rankings," Journal of Development Economics, Elsevier, vol. 97(1), pages 1-14.
    8. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    9. Kaufmann, Daniel & Kraay, Aart & Mastruzzi, Massimo, 2010. "The worldwide governance indicators : methodology and analytical issues," Policy Research Working Paper Series 5430, The World Bank.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Corruption indicators; Bayesian Econometrics; Factor Model; State-Space;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
    • P26 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Property Rights

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