Predicting World Bank Project Outcome Ratings [electronic resource] / Geli, Patricia
Material type:
TextPublication details: Washington, D.C., The World Bank, 2014Description: 1 online resource (20 p.)Subject(s): Banks and Banking Reform | Communities & Human Settlements | Development Economics & Aid Effectiveness | Development Objective | Finance and Financial Sector Development | Housing & Human Habitats | IEG | Independent Evaluation Group | Investment Project Financing | Macroeconomics and Economic Growth | Poverty Monitoring & Analysis | Poverty Reduction | Predictive Performance | Project Outcome Ratings | Rural Development | Rural Portfolio ImprovementAdditional physical formats: Geli, Patricia: Predicting World Bank Project Outcome Ratings.Online resources: Click here to access online Abstract: A number of recent studies have empirically documented links between characteristics of World Bank projects and their ultimate outcomes as evaluated by the World Bank's Independent Evaluation Group. This paper explores the in-sample and out-of-sample predictive performance of empirical models relating project outcomes to project characteristics observed early in the life of a project. Such models perform better than self-assessments of project performance provided by World Bank staff during the implementation of the project. These findings are applied to the problem of predicting eventual Independent Evaluation Group ratings for currently active projects in the World Bank's portfolio.
A number of recent studies have empirically documented links between characteristics of World Bank projects and their ultimate outcomes as evaluated by the World Bank's Independent Evaluation Group. This paper explores the in-sample and out-of-sample predictive performance of empirical models relating project outcomes to project characteristics observed early in the life of a project. Such models perform better than self-assessments of project performance provided by World Bank staff during the implementation of the project. These findings are applied to the problem of predicting eventual Independent Evaluation Group ratings for currently active projects in the World Bank's portfolio.
There are no comments on this title.