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Enhancing Resource Allocation and Data Completion for Global Development Initiatives

This document presents an in-depth review of multiple global development initiatives, including the World Bank's framework for the Global Environmental Facility and UNESCO's approach to water development. It explores the future of Peru's electricity management, the role of the World Federation of UN Associations regarding human rights, and strategies to improve women's status. Additionally, it addresses challenges in completing historical datasets, emphasizing data imputation and the application of statistical techniques for better data management across diverse countries.

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Enhancing Resource Allocation and Data Completion for Global Development Initiatives

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  1. New Real Time Delphi Studies • The World Bank: review of the Resource Allocation Framework of the Global Environmental Facility (GEF) • UNESCO: design of UN World Water Development Report • Peru’s Energy and Mining Supervisory Agency: 10-year future of electricity • Millennia 2015 : developments and policies to improve the status of women • World Federation of UN Associations: current relevance and issues of the Universal Declaration of Human Rights. • MP: Priorities 2009-2010 • MP: Elements of the evolving economic system

  2. Recent Improvements • Ease of initiation (load sheets) • Addition of diverse inputs • radio buttons • yes/no • true/false • Identification of levels of agreement and disagreement • Question statement carries generic column heading • Simplified pricing

  3. Next RTD Steps • Student version • Promotion • A version with only qualitative inputs • Mixed row inputs • Training others

  4. Data Imputation • The problem: completing incomplete historical data sets • Fill the blanks in WDI historical data for a set of 30 countries and 28 variables over 20 years. • Used the JP7 statistical package

  5. Techniques • Raw data • Interpolation • Limits • Country by country time series • Other parameters • Regress across all countries

  6. Effect of Techniques

  7. Raw Data Examples

  8. Validation Examples

  9. Next Steps • Extend to other countries • Continue validation • Search for automated means of imputation • Create “go-no go” rules • Combine with global model

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