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Evaluating Social Programs

Randomized evaluations can be valuable tools for measuring the impact of social programs. Learn why and when to use them, and how their findings can inform the design of evidence-based policies and programs.

Evaluating Social Programs

Randomized evaluations can be valuable tools for measuring the impact of social programs. Learn why and when to use them, and how their findings can inform the design of evidence-based policies and programs.

In this online course, you will learn why, when, and how to design a randomized evaluation to effectively measure the impact of social programs. From developing a theory of change to navigating design challenges and ethical considerations, this course explores each step in the evaluation process.

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Through lectures led by MIT professors and affiliates of the Abdul Latif Jameel Poverty Action Lab (J-PAL) – a global research center – along with case studies using real-world examples, you will gain an understanding of both technical design and practical considerations for measuring social impact with a randomized evaluation.

This course is designed for policymakers, program implementers, and practitioners from governments, NGOs, international organizations, foundations, and beyond, as well as students looking for an introduction to randomized evaluations. Join a community of learners from around the world who are interested in using rigorous evaluation and evidence to understand whether their programs achieve the intended outcomes.

You can choose from the following two enrollment tracks:

  • Enroll for free and complete the course at your own pace.
  • Upgrade to the Certificate Track ($99) to be eligible to take the final quiz and receive a certificate of completion from J-PAL and MITx.

For researchers looking for more in-depth guidance for conducting randomized evaluations, we encourage you to enroll in J-PAL’s semester-long course on Designing and Running Randomized Evaluations which is part of the MITx Data, Economics, and Design of Policy MicroMasters Program.

Organizations interested in enrolling staff as a cohort can contact the J-PAL Training Team to learn more about blended learning options.

What you'll learn

  • How to identify opportunities for impact evaluation
  • How to develop a theory of change and measure outcomes
  • Key components of a well-designed randomized evaluation
  • How to determine an appropriate sample size to reliably estimate impact
  • Common threats and pitfalls to the validity of experiments
  • How to assess generalizability and use research findings to inform policy

Prerequisites

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

Meet your instructors

  • Featured image for Rachel Glennerster
    Associate Professor of Economics at the University of Chicago
  • Featured image for Iqbal Dhaliwal
    Global Executive Director
  • Featured image for Benjamin Olken
    Professor 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.