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Determining trends for perceived levels of corruption

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  • Graf Lambsdorff, Johann

Abstract

The Transparency International Corruption Perceptions Index is a composite index with a focus on cross-section information. The usage of the data in the form of time series has been discouraged in the past, due to changes in the composition of sources. Basing assessments only on sources that continuously enter the index, such time series are provided here, ranging from 1995 to 2005. Panel data regressions reveal how the sources' time series information is related to each other, suggesting a method for assembling panel data. Regressing a linear time trend on the standardized sources provides an assessment of the significance of a simple trend for each of 61 countries.

Suggested Citation

  • Graf Lambsdorff, Johann, 2005. "Determining trends for perceived levels of corruption," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-38-05, University of Passau, Faculty of Business and Economics.
    • Handle: RePEc:zbw:upadvr:v3805
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    Cited by:

    1. Paul Collier & Martina Kirchberger & Måns Söderbom, 2016. "The Cost of Road Infrastructure in Low- and Middle-Income Countries," The World Bank Economic Review, World Bank, vol. 30(3), pages 522-548.
    2. Kalenborn, Christine & Lessmann, Christian, 2013. "The impact of democracy and press freedom on corruption: Conditionality matters," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 857-886.
    3. Ma Salinas-Jiménez & Javier Salinas-Jiménez, 2011. "Corruption and total factor productivity: level or growth effects?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 10(2), pages 109-128, August.
    4. Lessmann, Christian & Markwardt, Gunther, 2010. "One Size Fits All? Decentralization, Corruption, and the Monitoring of Bureaucrats," World Development, Elsevier, vol. 38(4), pages 631-646, April.
    5. Baksi, Soham & Bose, Pinaki & Pandey, Manish, 2009. "The impact of liberalization on bureaucratic corruption," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 214-224, October.

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