May 1, 2024
Updated June 26, 2025
20 minute read
A Comprehensive Guide to Impact Evaluation
Impact Evaluation is a systematic process of assessing the changes—both positive and negative, intended and unintended—that can be attributed to a specific intervention, such as a project, program, or policy. At its core, it seeks to understand the causal effect of an initiative by comparing what actually happened with what would have likely occurred in the absence of that initiative. This field is dynamic and intellectually stimulating, offering practitioners the chance to rigorously examine what works, what doesn't, and why, ultimately informing better decision-making and resource allocation across various sectors.
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Find a path to becoming a Impact Evaluation. Learn more at:
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Reading list
We've selected 23 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Impact Evaluation.
Provides a practical guide to designing and implementing impact evaluations. It covers a wide range of topics, including research design, data collection, and analysis. It is written by a leading expert in the field and valuable resource for anyone who is interested in conducting impact evaluations.
This classic book provides a comprehensive overview of the theory and practice of program evaluation. It is written by leading experts in the field and valuable resource for anyone who is interested in evaluating social programs.
This recent book focuses specifically on impact evaluation in the context of international development. It covers theoretical foundations, various methods, and practical aspects of conducting evaluations in this setting. It valuable resource for those interested in the application of impact evaluation in global development work.
Provides a comprehensive overview of the experimental and quasi-experimental designs that are used to evaluate the impact of interventions. It is written by leading experts in the field and valuable resource for anyone who is interested in conducting impact evaluations.
Offers practical guidance on the principles, methods, and practice of impact evaluation within the context of development interventions. It is suitable for a range of audiences, from those interested in understanding evidence on 'what works' to applied researchers. It introduces core concepts, methodologies, and considerations for planning, designing, managing, and implementing impact evaluations.
Widely-cited and influential text that provides a rigorous yet accessible introduction to the tools of applied econometrics, with a strong focus on causal inference. While not exclusively about impact evaluation, it covers essential methods like instrumental variables, regression discontinuity designs, and difference-in-differences, which are fundamental to the field. It is highly valuable for deepening understanding and is often used as a textbook in graduate programs.
Offers a practical guide specifically on conducting randomized controlled trials (RCTs) in development settings. It covers the key steps involved in designing, implementing, and analyzing RCTs, including practical challenges and ethical considerations. This valuable resource for those planning to conduct experimental impact evaluations.
Provides a comprehensive overview of machine learning methods that are used to evaluate the impact of interventions. It is written by leading experts in the field and valuable resource for anyone who is interested in conducting impact evaluations.
This handbook, published by the World Bank, provides an overview of quantitative methods and practices in impact evaluation. It aims to bridge the gap between theory and practice, detailing various experimental and non-experimental econometric methods. It useful reference for practitioners and researchers seeking to apply quantitative techniques.
Provides a comprehensive overview of the regression analysis method, which is used to evaluate the impact of interventions. It is written by a leading expert in the field and valuable resource for anyone who is interested in conducting impact evaluations.
Authored by two leading figures in causal inference, this book provides a comprehensive theoretical foundation for causal inference methods. It introduces the potential outcomes framework and discusses various methods for estimating causal effects in both experimental and observational studies. is crucial for those seeking to deepen their understanding of the statistical underpinnings of impact evaluation and valuable reference for researchers.
Focuses on research design for causal inference using observational data. It emphasizes the concepts of causality and identification, utilizing graphical intuition and providing code examples in multiple software packages. It's a recent publication that addresses contemporary approaches to causal inference relevant to impact evaluation.
This comprehensive graduate-level econometrics textbook that covers a wide range of methods applicable to cross-sectional and panel data. It includes detailed discussions of topics relevant to impact evaluation, such as program evaluation methods and the analysis of treatment effects. standard reference for students and professionals needing a deep understanding of the econometric techniques used in impact evaluation.
Provides a comprehensive overview of the theory and methods of causal inference. It is written by leading experts in the field and valuable resource for anyone who is interested in understanding the causal effects of interventions.
Provides a comprehensive overview of the Bayesian methods that are used to evaluate the impact of interventions. It is written by leading experts in the field and valuable resource for anyone who is interested in conducting impact evaluations.
Written by Nobel laureates, this book explores the effectiveness of various anti-poverty interventions using an evidence-based approach, drawing heavily on randomized controlled trials. While not a methods textbook, it provides compelling real-world examples of impact evaluations in action and discusses the nuances of applying these methods in development contexts. It's valuable for understanding the practical application and impact of evaluation findings.
Addresses the methods for systematically reviewing and synthesizing findings from multiple impact evaluations. This is crucial for evidence-based policymaking and practice, as it allows for drawing broader conclusions from the existing body of evidence. It's relevant for those interested in the synthesis and use of evaluation findings.
Likely covers the fundamental principles and concepts underlying impact evaluation. It would be useful for building a solid theoretical base before delving into specific methods. It can serve as good preparatory reading.
Aimed at policymakers, this book provides a guide to understanding and using impact evaluations in the context of international development. It focuses on the practical implications of evaluations for decision-making rather than the technical details of the methods. It is valuable for understanding the policy relevance of impact evaluation.
This classic text argues for a unified logic of inference across both qualitative and quantitative research. While not solely focused on impact evaluation, it provides fundamental principles of research design, causality, and inference that are highly relevant to designing rigorous impact evaluations, particularly those incorporating qualitative components. It is considered a foundational text in social science research methods.
Introduces the realist approach to impact evaluation, which focuses on understanding how programs work, for whom, and in what circumstances. This provides a different perspective compared to methods solely focused on estimating average treatment effects and is valuable for understanding the causal mechanisms.
While a classic in social science methodology predating modern impact evaluation techniques, Weber's work on causality, verstehen (interpretive understanding), and the nature of social science inquiry provides essential philosophical context for understanding the challenges and goals of causal inference in social settings. It's valuable for a deep, foundational understanding of the philosophical underpinnings.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/m8dmc2/impact
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