Anatomy of grand corruption: A composite corruption risk index based on objective data

Mihaly Fazekas (), Istvan Toth and Lawrence Peter King ()
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Mihaly Fazekas: University of Cambridge Faculty of Politics, Psychology, Sociology
Lawrence Peter King: Department of Sociology University of Cambridge

No 1403, CERS-IE WORKING PAPERS from Institute of Economics, Centre for Economic and Regional Studies

Abstract: Although both the academic and policy communities have attached great importance to measuring corruption, most of the currently available measures are biased and too broad to test theory or guide policy. This article proposes a new composite indicator of grand corruption based on a wide range of elementary indicators. These indicators are derived from a rich qualitative evidence on public procurement corruption and a statistical analysis of a public procurement data in Hungary. The composite indicator is constructed by linking public procurement process 'red flags' to restrictions of market access. This method utilizes administrative data that is available in practically every developed country and avoids the pitfalls both of perception based indicators and previous 'objective' measures of corruption. It creates an estimation of institutionalised grand corruption that is consistent over time and across countries. The composite indicator is validated using company profitability and political connections data.

Keywords: public procurement; grand corruption; corruption technique; composite corruption risk index (search for similar items in EconPapers)
JEL-codes: D72 D73 H57 (search for similar items in EconPapers)
Pages: 51 pages
Date: 2014-01
New Economics Papers: this item is included in nep-ict, nep-pol and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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