This course, developed in collaboration between Georgetown University and World Bank's Strategic Impact Evaluation Fund, introduces learners to the fundamental scientific and statistical tools necessary for determining the impact of policies or programs. Spanning several modules, it addresses challenges including the attribution problem, the meaning of statistical significance, and analyzing data from randomized control trials. Furthermore, it offers insight into practical issues such as optimal sample sizes and dealing with imperfect compliance or missing data in experimental designs.

• Define and understand the significance of impact evaluation.
• Appreciate the role of randomization and common issues in randomized controlled trials.
• Utilize statistical tools and concepts relevant to program evaluation.
• Apply regression analysis in interpreting RCT outcomes.
• Analyze the trade-off between sample size and trial cost.
• Employ quasi-experimental methods in evaluation.

No prerequisites are required for this course. It is designed for beginners interested in economics and policy evaluation.

• Understanding Impact Evaluation
• Executing Randomized Controlled Trials (RCTs)
• Statistical Significance and Margin of Error
• Data Analysis in RCTs
• Managing Imperfect Compliance and Missing Data
• Sample Size Determination and Cost Management
• Application of Quasi-Experimental Methods

This course is ideal for individuals entering the fields of economics, finance, public policy, and social sciences, as well as professionals in government, NGOs, and international organizations looking to enhance their analytical and evaluative skills.

Skills acquired from this course can enhance decision-making in policy development, program management, and service delivery across sectors such as education, health, agriculture, and finance. Graduates will be well-equipped to design and evaluate interventions, ensuring efficient allocation of resources and effectiveness in achieving desired outcomes.