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Designing and Running Randomized Evaluations

Learn practical skills for running randomized evaluations to measure the impact of social programs.

Designing and Running Randomized Evaluations

Learn practical skills for running randomized evaluations to measure the impact of social programs.

A randomized evaluation, also known as a randomized controlled trial (RCT), is an impact evaluation method that uses random assignment to obtain a rigorous and unbiased estimate of the impact of a program or policy.

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In this course, you will explore when and why to conduct RCTs, and how to build a well-designed, policy-relevant study. We will provide step-by-step training on how to design and conduct a randomized evaluation, including questionnaire design, piloting, quality control, and data collection, while also covering broader themes like research transparency and research ethics.

Designed for policymakers, program implementers, and practitioners from governments, NGOs, international organizations, foundations, and students, this course equips you to use evidence to understand whether a program is achieving its intended impact.

For those looking for more of an introduction to randomized evaluations, consider J-PAL’s self-paced course on Evaluating Social Programs. The course is not part of the DEDP MicroMasters program.

The course is free to audit. Learners can take a proctored exam and earn a course certificate by paying a fee, which varies by ability to pay. Please see our FAQ articles for more information on the certificate and audit track features as well as more information on the pricing structure. Enroll in this course by selecting the "enroll now" button at the top of the page.

This course can be completed by itself or as part of the MITx MicroMasters program in Data, Economics, and Design of Policy (DEDP), which provides a path toward the master’s in DEDP at MIT.

What you'll learn

The course will investigate the following topics:

  • Randomized evaluation design
  • Sampling, randomization, and sample size
  • Measurement
  • Data collection and management
  • Questionnaire design
  • Research integrity, transparency, and reproducibility

Access the full syllabus here.

Prerequisites

Although not required, familiarity with basic statistical concepts is recommended.

Course Readiness Check:

Our course readiness checks help you determine if you should review key concepts before starting the course.

Please use this link to access the course readiness check and answer key.

Meet your instructors

  • Featured image for Rachel Glennerster
    Associate Professor of Economics at the University of Chicago
  • Featured image for Esther Duflo
    Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics

Who can take this course?

Because of U.S. Office of Foreign Assets Control (OFAC) restrictions and other U.S. federal regulations, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba, Syria, North Korea and the Crimea, Donetsk People's Republic and Luhansk People's Republic regions of Ukraine.