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This publication examines the role that ex-post project evaluation can play in enhancing decisionmaking for future transport infrastructure investments. It presents the results of a Roundtable held in Paris in 2014, which brought together more than 20 experts from 12 countries to discuss the issues surrounding ex-post project assessment and review the experience with different approaches in a number of countries, with case studies from France, the United Kingdom, the United States and Spain at the core.
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This summary of discussions begins by outlining the meaning of ex-post vs. ex-ante evaluation and examining the accuracy of the conventional ex-ante methodology. It then describes two basic systems/approaches to data collection and evaluation. Next it presents the challenges in expanding the conventional investment appraisal to broader development effects and the statistical tools available to evaluate the broader development effects in ex-post evaluation. Lastly, the need to expand the concept of ex-post evaluation to monitoring is discussed and concluding remarks are given.
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The United Kingdom National Audit Office (NAO) scrutinises public spending on behalf of Parliament, helping it to hold government departments to account and helping public bodies improve performance and delivery. We publish around 60 value-for-money studies each year which look at how government projects, programmes and initiatives have been implemented and make recommendations on how services can be improved.
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This chapter presents the results of research recently conducted by the authors on ex-post analysis focused on the long-term economic impacts of transportation system investments in the United States. For a variety of reasons, the United States has had a tradition of making transport investments to address economic development goals and applying ex-post analysis to assess achievement of economic development impacts. These past studies are reviewed, as are some of the deficiencies and suggested improvements in methods for ex-post analysis.
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This chapter reviews methods that seek to draw causal inference from non-experimental data and shows how they can be applied to undertake ex-post evaluation of transport interventions. In particular, the chapter discusses the underlying principles of techniques for treatment effect estimation with non-randomly assigned treatments. The aim of these techniques is to quantify changes that have occurred due to explicit intervention (or "treatment").
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