USING NON-EXPERIMENTAL DESIGNS FOR IMPACT EVALUATION

MONITORING AND EVALUATION SUPPORT ACTIVITY (MEASURE)

CONTACT MEASURE

BHS | ENG

USING NON-EXPERIMENTAL DESIGNS FOR IMPACT EVALUATION

Instructor: Gary T. Henry (The Evaluators Institute (TEI))

Time: 6/12/2017 – 7/12/2017

Description: During this two-day course the lecturer led participating Fellows through following topics essential for using non-experimental designs for impact evaluation: 1) Potential Outcomes Theory; 2) Basic Approaches to Impact Evaluation; 3) Matching Designs with emphasis on Propensity Score Matching (PSM); 4) Regression Discontinuity; 5) Instrumental Variables; and 6) Comparing Designs using Longitudinal Data. During the course, the participants learnt to explain potential outcomes theory, a theory of causal inference (counterfactual evidence), the ideal experiment and the need to simultaneously consider internal and external validity. They were also thought to design a non-experimental study using matching, longitudinal, or random assignment designs; and to explain requirements as well as strengths and weaknesses of the non-experimental designs. Special attention was paid to the Random Assignment Study – why is it needed for impact evaluation and why it is not doable for all impact evaluations. In addition, the instructor emphasized the importance and benefits of doing a PSM – steps for its implementation, calculation of the propensity score and types of PSM designs.

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This web site is made possible by the support of the American People through the United States Agency for International Development (USAID). The contents of the page are the sole responsibility of the editor and do not necessarily reflect the views of USAID or the United States Government.”