• Duración:
    6 semanas
  • Dedicación:
    3–5 horas por semana
  • Precio:

    GRATIS
    Agregar un Certificado Verificado por $99 USD

  • Institución
  • Tema:
  • Nivel:
    Intermediate
  • Idioma:
    English
  • Transcripción de video:
    English
  • Tipo de curso:
    A tu ritmo

Prerrequisitos

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

Sobre este curso

Omitir Sobre este curso

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.

Lo que aprenderás

Omitir Lo que aprenderás
  • 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

Conoce a tus instructores

Rachel Glennerster
Chief Economist, DFID; on leave from J-PAL
Massachusetts Institute of Technology
Anja Sautmann
Director of Research, Education, & Training, J-PAL
Massachusetts Institute of Technology

Obtén un Certificado Verificado para destacar los conocimientos y las habilidades que adquieras
$99 USD

Ver un modelo de certificado de edX en PDF
  • Oficial y verificado

    Obtén un certificado con la firma del instructor y el logotipo de la institución para demostrar tus logros y aumentar las posibilidades de conseguir trabajo

  • Fácil de compartir

    Agrega el certificado a tu currículum o publícalo directamente en LinkedIn

  • Incentivo comprobado

    El certificado te da un motivo más para completar el curso

  • Apoya nuestra labor

    edX, una organización sin fines de lucro, se sustenta con los certificados verificados para financiar la educación gratuita para todo el mundo

¿Quién puede hacer este curso?

Lamentablemente, las personas de uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.