REGISTER: The relevance of statistical information for anti-corruption policies
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This session is organised by the National Institute of Statistics and Geography (INEGI), Mexico, Knowledge Partner of the virtual 2021 OECD Global Anti-Corruption & Integrity Forum.
The language of this session is English.
Anti-corruption policies are designed and implemented to deal with various problems and factors such as impunity, arbitrariness, illegality, low quality of public services, distortion of social and economic activities, and lack of trust in public institutions. In such processes, using statistical data on corruption is relevant to have a deeper and specific understanding of this phenomenon, specially to achieve positive results in public policy making. National statistical offices and international agencies can contribute to develop not just valuable statistical information, but also methodologies to strengthen the implementation and outcomes of such policies.
This session is intended to explore the relevance of producing and using high quality data to support the design of effective public policies against corruption, considering the rational and nature of several sources of data such as experience and perception surveys or administrative records.
• Adrián Franco, Vice-President (INEGI)
• Patty Zakaria, Research Consultant & Principal (Ghubril Ltd.)
• Enrico Bisogno, Chief of Data Development and Dissemination Unit (UNODC)
• Jesper Johnson, Senior Policy Advisor Team leader data & measurement (OECD)
Dayana L. Pérez, Inter-institutional Relations Department, INEGI (firstname.lastname@example.org).