Les infos clés
En résumé
This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s Master’s Program in DEDP, please visit the MicroMasters portal.
A randomized evaluation, also known as a field experiment or randomized controlled trial (RCT), is an impact evaluation that uses random assignment to minimize bias, and strengthen our ability to draw causal inferences.
This course will provide step-by-step training on how to design and conduct an RCT. You will learn how to build a well-designed, policy relevant study, includingwhy and when to conduct RCTs.
Additionally, 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 introduce common research transparency practices.
No previous economics or statistics background is needed.
Course Previews:
Our course previews are meant to give prospective learners the opportunity to get a taste of the content and exercises that will be covered in each course. If you are new to these subjects, or eager to refresh your memory, each course preview also includes some available resources. These resources may also be useful to refer to over the course of the semester.
A score of 60% or above in the course previews indicates that you are ready to take the course, while a score below 60% indicates that you should further review the concepts covered before beginning the course.
Please use the this link to access the course preview.
- Designing a Randomized Evaluation
- Selecting a sample
- Measurement of outcomes
- Collecting and managing your data
- Research Integrity, Transparency, and Reproducibility
Les prérequis
Although not required, prior familiarity with basic statistical concepts is recommended.
Le programme
JPAL 102x – Designing and Running Randomized Evaluations
Week One: Introduction & Randomized Evaluation Design I
Week Two: Randomized Evaluation Design II
Week Three: Sampling and Sample Size
Week Four: Measurement I (Intro, Sensitive Topics, Market Activity)
Week Five: Measurement II (Welfare, Health, Networks)
Week Six: Measurement III (Behavior, Education, Gender and Empowerment)
Week Seven: Data Collection & Management I (Questionnaire Design)
Week Eight: Data Collection & Management II (Logistics and Monitoring)
Week Nine: Data Collection & Management III (Managing Data)
Week Ten: Research Integrity, Transparency, and Reproducibility I
Week Eleven: Research Integrity, Transparency, and Reproducibility II
Les intervenants
Esther Duflo
Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics, winner of the 2019 Nobel Prize in Economic Sciences
MIT
Rachel Glennerster
Former Executive Director
J-PAL
Le concepteur
Le Massachusetts Institute of Technology (MIT), en français Institut de technologie du Massachusetts, est un institut de recherche américain et une université, spécialisé dans les domaines de la science et de la technologie. Situé à Cambridge, dans l'État du Massachusetts, à proximité immédiate de Boston, au nord-est des États-Unis, le MIT est souvent considéré comme une des meilleures universités mondiales.
Il édite la Technology Review, une revue scientifique consacrée aux sciences de l'ingénieur et à l'innovation.
La plateforme
EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.
EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.
Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.
