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Predicting and Explaining Development Effectiveness

Sector: Government • Location: Regional

Source: Inter-American Development Bank (IADB)

Project
Preparation

The general objective of this Technical Cooperation (TC) is to develop predictive and causal inference models to understand and enhance the effectiveness of IDB operations. The specific objectives are: (i) to build a predictive system capable of dynamically identifying operations with a high likelihood of ineffectiveness at closure, as measured by PCRs and OVE validations, and (ii) to evaluate the

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The project “Predicting and Explaining Development Effectiveness” is an infrastructure initiative in the Government sector, located in Regional. Taiyo aggregates data on it from Inter-American Development Bank (IADB).

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Participants

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preparation

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Description

Description

The general objective of this Technical Cooperation (TC) is to develop predictive and causal inference models to understand and enhance the effectiveness of IDB operations. The specific objectives are: (i) to build a predictive system capable of dynamically identifying operations with a high likelihood of ineffectiveness at closure, as measured by PCRs and OVE validations, and (ii) to evaluate the causal impact of key instruments from the Development Effectiveness Framework (DEF)—specifically, the Development Effectiveness Matrix (DEM) and the Progress Monitoring Report (PMR)—on project performance. This initiative build upon previous analytical work, including studies conducted by OVE (2024), Alvarez et al (2021), and Corral et al (2022).

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Source reliability

High

Data quality score

100%

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