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Measuring corruption in Europe: public opinion surveys and composite indices

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  • Kristyna Chabova

    (Czech Academy of Sciences and Charles University)

Abstract

This article offers a concise overview of composite indices and public opinion surveys measuring corruption perception and bribery on the European level and ascertains their quality and usefulness based on several criteria. Specifically, this article covers measures by the World Bank (Control of Corruption), Transparency International (Corruption Perception Index and Global Corruption Barometer), European Social Survey, International Social Survey Programme, World Values Survey, and Eurobarometer. First, this article discusses the measures from the qualitative point of view, especially from the point of country and time coverage and possibility of microanalysis and analysis in time. Then, these measures are analysed from the quantitative point of view. This article concludes which measures are best to use for statistical analyses focusing on corruption perception and experience with bribery. Such an analysis has not been done yet on corruption indicators and can prevent errors in future research.

Suggested Citation

  • Kristyna Chabova, 2017. "Measuring corruption in Europe: public opinion surveys and composite indices," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1877-1900, July.
  • Handle: RePEc:spr:qualqt:v:51:y:2017:i:4:d:10.1007_s11135-016-0372-8
    DOI: 10.1007/s11135-016-0372-8
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    2. Ilona Wysmułek, 2019. "Using public opinion surveys to evaluate corruption in Europe: trends in the corruption items of 21 international survey projects, 1989–2017," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2589-2610, September.
    3. Demirgüç-Kunt, Asli & Lokshin, Michael & Kolchin, Vladimir, 2023. "Effects of public sector wages on corruption: Wage inequality matters," Journal of Comparative Economics, Elsevier, vol. 51(3), pages 941-959.
    4. Giulia Mugellini & Jean‐Patrick Villeneuve & Marlen Heide, 2021. "Monitoring sustainable development goals and the quest for high‐quality indicators: Learning from a practical evaluation of data on corruption," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(6), pages 1257-1275, November.
    5. José-Miguel Bello y Villarino, 2021. "Measuring Corruption: A Critical Analysis of the Existing Datasets and Their Suitability for Diachronic Transnational Research," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 709-747, September.
    6. Daniel Homocianu & Aurelian-Petruș Plopeanu & Rodica Ianole-Calin, 2021. "A Robust Approach for Identifying the Major Components of the Bribery Tolerance Index," Mathematics, MDPI, vol. 9(13), pages 1-20, July.
    7. Lili Pan & Lin Wang & Qianqian Feng, 2022. "Effects of Host-Country Corruption on China’s Outward Foreign Direct Investments: Expert Knowledge Versus Public Awareness," SAGE Open, , vol. 12(4), pages 21582440221, December.
    8. Yu Hao & Chun-Ping Chang & Zao Sun, 2018. "Women and corruption: evidence from multinational panel data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1447-1468, July.

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