Using data differently and using different data
Francisco Oteiza and
Journal of Development Effectiveness, 2018, vol. 10, issue 4, 462-481
The lack of adequate measures is often an impediment to robust policy evaluation. We discuss three approaches to measurement and data usage that have the potential to improve the way we conduct impact evaluations. First, the creation of new measures, when no adequate ones are available. Second, the use of multiple measures when a single one is not appropriate. And third, the use of machine learning algorithms to evaluate and understand programme impacts. We motivate the relevance of each of the categories by providing examples where they have proved useful in the past. We discuss the challenges and risks involved in each strategy and conclude with an outline of promising directions for future work.
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Persistent link: https://EconPapers.repec.org/RePEc:taf:jdevef:v:10:y:2018:i:4:p:462-481
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