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Macroeconomic Analysis of Corruption in Developing Economies

  • James P. Gander
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    Based on empirical data, a two-equation game-type corruption reaction function model was developed. A “data to model” approach was used rather than the usual a priori approach. The general hypothesis tested was the “monkey see, monkey do” principle. The latest data on corruption among developing countries was obtained from the Enterprise Surveys done by the World Bank Group in 2010. The key variables were the percent of domestic firms expecting to make informal payment to public officials to “get things done,” and the percent of foreign firms doing like wise. The time span is from 2002-2010. A variety of econometric methods were used. In general, the statistical results were quite good and supported the hypothesis. Both reaction equations were positively sloped. Time had a reducing effect on the frequency of domestic corruption, yet it had an increasing effect on foreign corruption. Variations in the frequency of corruption across regions of countries were generally not significant.

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    File URL: http://economics.utah.edu/research/publications/2011_02.pdf
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    Paper provided by University of Utah, Department of Economics in its series Working Paper Series, Department of Economics, University of Utah with number 2011_02.

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    Length: 14 pages
    Date of creation: 2011
    Date of revision:
    Handle: RePEc:uta:papers:2011_02
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    Web page: http://economics.utah.edu

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    1. Méon, Pierre-Guillaume & Weill, Laurent, 2008. "Is corruption an efficient grease?," BOFIT Discussion Papers 20/2008, Bank of Finland, Institute for Economies in Transition.
    2. Reinikka, Ritva & Svensson, Jakob, 2006. "Using Micro-Surveys to Measure and Explain Corruption," World Development, Elsevier, vol. 34(2), pages 359-370, February.
    3. Menezes, Flavio Marques, 2000. "The Microeconomics of Corruption: The Classical Approach," Economics Working Papers (Ensaios Economicos da EPGE) 405, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
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