Designing and Running Randomized Evaluations

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Designing and Running Randomized Evaluations

This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To audit this course, click “Enroll Now” in the green button at the top of this page.



To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s new blended Master’s degree, go to MITx’s MicroMasters portal



A randomized evaluation, also known as a randomized controlled trial (RCT), field experiment or field trial, is a type of impact evaluation that uses random assignment to allocate resources, run programs, or apply policies as part of the study design.



This course will provide step-by-step training on how to design and conduct an RCT. You will learn about why and when to conduct RCTs and the key components of a well-designed RCT.



In addition, this course will provide insights on how to implement your RCT in the field, including questionnaire design, piloting, quality control, data collection and management. The course will also go over common practices to ensure research transparency.



No previous economics or statistics background is required. However, economic and statistics concepts and vocabulary will be used and some familiarity is advised.


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Starts : 2017-09-26

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