There is much demand from practitioners for “shoestring methods” of impact evaluation—sometimes called “quick and dirty methods.” These methods try to bypass some costly element in the typical impact evaluation. Probably the thing that practitioners would most like to avoid is the need for baseline data collected prior to the intervention. Imagine how much more we could learn about development impact if we did not need baseline data!
One of the interesting discussions I had this last week was with a World Bank consultant trying to think about how to evaluate the impact of large-scale infrastructure projects. Forming a counterfactual is very difficult in many of these cases, and so the question is what one could think of doing. Since I get asked similar types of questions reasonably regularly, I thought I’d share my thoughts on this issue, and see whether anyone has good examples to share.
- evaluation methods