0 options
Countering Public Grant Fraud in Spain : Machine Learning for Assessing Risks and Targeting Control Activities / Organisation for Economic Co-operation and Development.
- Format:
- Book
- Government document
- Author/Creator:
- Organisation for Economic Co-operation and Development
- Series:
- OECD public governance reviews
- OECD Public Governance Reviews;
- Language:
- English
- Subjects (All):
- Governance.
- Spain.
- Local Subjects:
- Governance.
- Spain.
- Physical Description:
- 1 online resource (87 pages)
- Place of Publication:
- Paris : OECD Publishing, 2021.
- Summary:
- In the wake of the COVID-19 pandemic, governments face both old and new fraud risks, some at unprecedented levels, linked to spending on relief and recovery. Public grant programmes are a high-risk area, where any fraud ultimately diverts taxpayers' money away from essential support for individuals and businesses. This report identifies how Spain's General Comptroller of the State Administration (Intervención General de la Administración del Estado, IGAE) could better identify and control for grant fraud risks. It demonstrates how innovative machine learning techniques can support the IGAE in enhancing its assessment of fraud risks in grant data. It presents a working risk model, developed with datasets at the IGAE's disposal, and maps datasets it could use in the future. The report also considers the preconditions for advanced analytics and risk assessments, including ways for the IGAE to improve its data governance and data management.
- Contents:
- Foreword
- Full list of variables in the uncleaned dataset
- Fraud in public grants: Piloting a data-driven risk model in Spain
- List of variables used in the analysis
- Executive summary
- Looking ahead: A roadmap of datasets to enhance the fraud risk model of Spain's Comptroller General
- Abbreviations and acronyms
- Glossary
- Descriptive statistics of variables in the cleaned dataset
- Risk-based control in Spain: A foundation for improved analytics.
- ISBN:
- 9789264604704
- 9789264374669
- 9789264554368
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.