Impact evaluations, applied research, and data analytics supporting international development.
​RIGOROUS IMPACT EVALUATIONS
At ImpactLoop, we design and implement rigorous impact evaluations to help uncover the impact of development policies, programmes, and projects and provide recommendations to improve and scale.
A rigorous impact evaluation (RIE) is the umbrella term for a range of evaluation methods (experimental and quasi-experimental) that use a counterfactual (control or comparison group) to answer the question: What was the impact of a development project on its recipients? Depending on the project/programme to be evaluated, RIEs may differ in design (ex-ante/ex-post), size, duration, rigour and costs.​​​​
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In short, we offer the following statistical evaluation methods:​​
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Randomised Control Trials (RCT)
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Difference-in-Difference (DiD) Approach
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Regression Discontinuity Design (RDD)
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Different Matching Methods
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Inverse-Probability Weighted Regression Adjustment (IPWRA)
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Instrumental Variable (IV)
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Heckman selection model,
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Endogenous Switching Regression
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Synthetic Control
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Etcetera
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You can learn more about what RIEs are, why they are important, and when to use and when not to use them in our blog posts.
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At ImpactLoop, we combine quantitative and qualitative methods to understand impact and pathways, informing recommendations for effective development interventions that drive positive societal, economic, and environmental change. For more on qualitative evaluation methods, see below.