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What Do the Worldwide Governance Indicators Measure?

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Abstract

As policymakers and researchers focus more on the question of the impact of governance in economic development, they have required measures of the quality of governance to set policy or to conduct analyses. A number of measures of the quality of governance have been created. Among these are the Worldwide Governance Indicators, which rank countries on six aspects of ‘good governance’. Critics have focused on problems of bias or lack of comparability that raise questions about the utility of these indicators. However, a more fundamental question is that of whether the indicators have ‘construct validity’ – whether they measure what they purport to measure. This paper considers the construct validity of the indicators and raises the question of whether researchers and policymakers are relying on wrong data, rather than poor data.

Les responsables politiques et les chercheurs ont besoin de mesures concrètes de la qualité de la gouvernance afin de pouvoir déterminer l’impact de celle-ci, en particulier par rapport au développement économique. Un certain nombre d’indicateurs ont récemment été créés, parmi lesquels les Indicateurs de gouvernance dans le monde de la Banque Mondiale, qui classent les pays à partir de six critères de « bonne gouvernance ». L’utilité de ces indicateurs a été mise en question pour des raisons de distorsion ainsi que des problèmes de manque de comparabilité. Cependant, une question plus fondamentale est celle de la validité théorique de ces indicateurs, c’est-à-dire, s’ils mesurent ce qu’ils prétendent mesurer. Cet article considère la validité conceptuelle de ces indicateurs et cherche à déterminer dans quelle mesure les chercheurs et les responsables politiques ne sont pas en train de se baser sur des données fausses, plutôt que des données insuffisantes.

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Notes

  1. The indicators have had various names over the years, but this paper uses the name used on the World Bank's website and most recently by the authors.

  2. For a description of available data sources, see Gray (2007) Governance for economic growth and poverty reduction: Empirical evidence and new directions reviewed. http://www.gsdrc.org/docs/open/RET422.pdf.

  3. See the disclaimer at www.govindicators.org that reads ‘Disclaimer: The aggregate indicators do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources or for any other official purpose.’

  4. Another necessary property of a measure of a construct is reliability. Validity and reliability are usually discussed together. A measure is ‘reliable’ ‘to the extent to which an experiment, test, or any measuring procedure yields the same results on repeated trials’ (Carmines and Zeller, 1979). The WGI will be reliable to the extent that the underlying individual indicators are reliable. Accordingly, the reliability of the WGI is beyond the control of the authors and will not be discussed here, except to note that the authors recognize the importance of measurement error and have paid considerable attention to minimizing the impact of such error.

  5. These predicted relationships were dubbed the ‘nomological network’ by Cronbach and Meehl (1955).

  6. A consistent estimator is one that has a greater probability of converging on the population parameter the greater the sample size. (Wooldridge, 2003). An inconsistent estimator does not; increasing the sample size is no guarantee of improved accuracy.

  7. A list of the underlying variables used to construct each governance indicator appears in the appendices of the study by Kaufmann et al (2008). Table 1 in this paper reproduces for convenience the list of variables that are used to construct the Voice and Accountability indicator.

  8. Confidential data are not available to researchers. While in theory researchers could purchase the proprietary data, many are likely to find it to be cost-prohibitive. For example, a one-year subscription to the Gray Area Dynamics data set produced by Merchant International Group for an individual academic researcher would cost $10 000 (private communication with Paddy Breiner, 20 February 2009); this is just one of the proprietary data sets. Further, as Schrank points out, the definitions and methods of collection of the underlying variables should also be available; where they themselves are aggregates, the raw data and the method of aggregation should be made available (private conversation with Andrew Schrank (8 March 2007)).

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Acknowledgements

The initial draft of this paper, under the same title, was written and posted in 2006; a revision was posted in 2007. The author thanks Ray Koopman, Francis Fukuyama, David Armor, Daniel Kaufmann, Aart Kraay, Richard Messick, Anwar Shah, Michael Johnston, Omar Azfar, Stephen Knack, Simeon Djankov, Alice Fredericks and the anonymous referees of this journal for their thoughtful comments and insights, as well as her research assistant, Scott Merrill, for his able assistance.

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Thomas, M. What Do the Worldwide Governance Indicators Measure?. Eur J Dev Res 22, 31–54 (2010). https://doi.org/10.1057/ejdr.2009.32

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