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Optimism Bias in Multilateral Development Banks’ Infrastructure Appraisals

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  • Parra López, Carlos

Abstract

The appropriateness of using Cost-Benefit Analysis as a decision-making criterion in transport infrastructure planning has been widely questioned due to systematic deviations from appraisal estimates—primarily in investment costs, delivery times, and demand forecasts—and a persistent optimism bias among evaluators that leads to projects with negative social returns, commonly referred to as white elephants. However, there remains relatively little empirical evidence on the extent to which social profitability is affected by these deviations, largely because ex-post evaluations are seldom conducted. In this study, we construct a dataset of infrastructure projects evaluated and financed by Multilateral Development Banks (MDBs) and find that deviations remain modest relative to other studies and evaluators. Most indicators suggest that project profitability is unbiased and that only a relatively small proportion of projects yield negative social returns. We argue that this outcome may be attributed to the MDBs’ internal appraisal policies, particularly regarding project governance (with the banks acting as both evaluators and financiers, and applicant countries serving as project sponsors and executioners) and the mandatory implementation of ex-post evaluations, suggesting that the optimism bias phenomenon is more related to strategic misrepresentation than to a cognitive bias.

Suggested Citation

  • Parra López, Carlos, 2026. "Optimism Bias in Multilateral Development Banks’ Infrastructure Appraisals," MPRA Paper 128847, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:128847
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    References listed on IDEAS

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    1. Daniel Benitez & Antonio Estache & Tina Soreide, 2010. "Dealing with Politics for Money and Power in Infrastructure," Working Papers ECARES ECARES 2010-031, ULB -- Universite Libre de Bruxelles.
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    3. Pohl, Gerhard & Mihaljek, Dubravko, 1992. "Project Evaluation and Uncertainty in Practice: A Statistical Analysis of Rate-of-Return Divergences of 1,015 World Bank Projects," The World Bank Economic Review, World Bank, vol. 6(2), pages 255-277, May.
    4. Morten Skou Nicolaisen & Patrick Arthur Driscoll, 2014. "Ex-Post Evaluations of Demand Forecast Accuracy: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 540-557, July.
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    JEL classification:

    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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