Arbeitspapier

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

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.

ISBN
978-615-5447-12-9
Language
Englisch

Bibliographic citation
Series: IEHAS Discussion Papers ; No. MT-DP - 2014/3

Classification
Wirtschaft
Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
Bureaucracy; Administrative Processes in Public Organizations; Corruption
National Government Expenditures and Related Policies: Procurement
Subject
public procurement
grand corruption
corruption technique
composite corruption risk index

Event
Geistige Schöpfung
(who)
Fazekas, Mihály
Tóth, István János
King, Lawrence Peter
Event
Veröffentlichung
(who)
Hungarian Academy of Sciences, Institute of Economics, Centre for Economic and Regional Studies
(where)
Budapest
(when)
2014

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Fazekas, Mihály
  • Tóth, István János
  • King, Lawrence Peter
  • Hungarian Academy of Sciences, Institute of Economics, Centre for Economic and Regional Studies

Time of origin

  • 2014

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