Master statistical methods for policy evaluation in developing nations, focusing on experimental design and regression techniques.
Master statistical methods for policy evaluation in developing nations, focusing on experimental design and regression techniques.
This comprehensive course equips learners with essential tools for evaluating policy impacts in developing nations. Through systematic modules, participants master experimental and statistical methods for measuring program effectiveness. The curriculum covers crucial aspects like causal attribution, randomized control trials, and regression techniques. Students learn to handle practical challenges in impact evaluation, including sample size determination and dealing with imperfect experimental conditions. The course emphasizes hands-on learning through real-world applications, preparing participants to rigorously assess development interventions.
4.6
(30 ratings)
Instructors:
English
English
What you'll learn
Define and understand the significance of impact evaluation in development contexts
Master the principles of randomization and troubleshoot RCT challenges
Apply statistical tools and concepts for effective program evaluation
Understand regression analysis and its role in interpreting RCT results
Determine optimal sample sizes while considering cost constraints
Implement quasi-experimental methods for impact assessment
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive introduction to impact evaluation in development contexts. It covers essential statistical and experimental tools needed to measure policy effectiveness in low- and middle-income countries. The curriculum emphasizes practical applications, teaching participants how to design and conduct randomized control trials, apply quasi-experimental methods, and use regression techniques for impact analysis. Students learn to handle real-world challenges in evaluation research, including sample size determination and managing imperfect experimental conditions. The course combines theoretical foundations with hands-on experience in program evaluation.
Fee Structure
Instructor

1 Course
Development Economist and Impact Evaluation Expert
Alaka Holla serves as Program Manager of the World Bank's Strategic Impact Evaluation Fund (SIEF), where she leads initiatives to promote evidence-based policy design in developing countries. After earning her PhD in Economics from Brown University in 2007 and completing postdoctoral work at Harvard University and Innovations for Poverty Action, she joined the World Bank as a Young Professional in 2009. Her work at SIEF oversees nearly 80 impact evaluations across four critical human development areas: early childhood nutrition and development, education, health, and water and sanitation. As a core team member of the World Development Report 2015: Mind, Society, and Behavior, she has contributed significantly to understanding behavioral aspects of development. Her research portfolio focuses on service delivery quality, discrimination in access to services, early childhood development, and education, with particular emphasis on social accountability approaches in human development sectors. She has authored influential publications on citizen engagement in service delivery and social accountability mechanisms, demonstrating how citizens can contribute to improving public services through enhanced accountability measures.
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