Evaluating Social Programs

Payment
Обучение бесплатное
Certificate
Сертификация платная
Duration
3 месяца
О курсе

At a Glance


  • Learn why randomized evaluations matter and how they can be used to rigorously measure the social impact of development programs

  • Free and self-paced - enroll anytime before August 14, and complete the course at your own pace

  • Upgrade to the Certificate Track ($99) to verify your grade in the course and gain permanent access to course materials

Organizations contact the J-PAL Training Team to learn how to enroll your staff as a cohort in our blended learning program

More About the Course

This course will provide a thorough understanding of randomized evaluations, with pragmatic step-by-step training for conducting one’s own evaluation. Through a combination of lectures and case studies from real randomized evaluations, the course will focus on the benefits and methods of randomization, choosing an appropriate sample size, and common threats and pitfalls to the validity of an experiment. While the course centers on the why, how, and when of randomized evaluations, it will also impart insights on the importance of needs assessments, effectively measuring outcomes, quality control, and the monitoring methods most useful for impact evaluations.

This social impact course is designed for people from a variety of backgrounds: managers and researchers from international development organizations, foundations, governments, and non-governmental organizations from around the world, as well as trained economists looking to retool.

Программа
Evaluating Social Programs
Understand how randomized evaluations can be used to evaluate social and development programs.
Что Вы изучите?
  • Why and when rigorous social impact evaluation is needed
  • Common pitfalls of evaluation designs and why randomization helps
  • Key components of a well-designed randomized evaluation
  • Alternative techniques for incorporating randomization into project design
  • How to measure outcomes, manage data and determine the appropriate sample size
  • How to guard against threats that may undermine the integrity of results
  • Techniques for analyzing and interpreting results
Лекторы
Rachel Glennerster
Rachel Glennerster
Chief Economist, DFID; on leave from J-PAL Massachusetts Institute of Technology

Rachel Glennerster is on leave as J-PAL Executive Director. Currently Chief Economist of the UK Department for International Development.

Anja Sautmann
Anja Sautmann
Director of Research, Education, & Training, J-PAL Massachusetts Institute of Technology
Anja Sautmann joined J-PAL Global in July 2017. She is guiding J-PAL's efforts in providing research support to regional offices and affiliated professors, defining and monitoring research standards, and fostering research transparency. She also oversees J-PAL's internal training and external education initiatives. She has ongoing projects on health care subsidies and malaria prescription practices in Mali and electricity pricing in South Africa. Previously, Anja was an Assistant Professor at Brown University, where she taught graduate and undergraduate classes in development economics and applied research methods. She has previously conducted research on dowries in India and the role of age in the marriage market, measuring the allocation and variation in consumption over time, the use of incentives for employees with biased self-confidence, and the effect of non-pecuniary incentives, like "nudges", on welfare.
Платформа
EdX
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.