• Duración:
    5 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

Prerrequisitos

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

Sobre este curso

Omitir Sobre este curso

Learn why evaluations matter and how they can be used to rigorously measure the social impact of development programs. This practical 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 upon 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; Executive Director on leave, J-PAL
Massachusetts Institute of Technology
Anja Sautmann
Director of Research, Education, & Training, J-PAL
Massachusetts Institute of Technology

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