Workshop on Difference-in-Differences (DID) Analysis for Health Program Impact Evaluation


This is an applied workshop on Difference-in-Differences (DID) analysis for health program impact evaluation using the Stata statistical software. It is important to know whether health programs implemented are having the intended impact they were designed for. DID analysis is suitable for impact evaluation that implemented using quasi-experimental design. DID is typically used to estimate the effect of a specific intervention or treatment (such as an enactment of health policy, or large-scale health program implementation) by comparing the changes in outcomes over time between a population that is enrolled in a program (the intervention group) and a population that is not (the control group). The workshop has a technical content. It is required that participants have knowledge of statistics and empirical analysis at the intermediate level.


At the end of the workshop, the participants will:

  1. understand the basic concepts of health impact evaluation.
  2. gain practical experience applying the DID methods for evaluating impact of health program (using STATA).
  3. be able to interpret results of DID analysis appropriately.
  4. be provided with links to useful resources.

Number of participants: 30


  1. Personal laptop (Win/Mac/Linux) with STATA installed or a free STATA trial version downloaded.
  2. It is recommended that participants become familiar with the STATA software before attending the workshop.


You can find good tutorial resources at UCLA’s or at the STATA website: