So I have blogged in the past about the potential and the use of gender disaggregated data, but my work this past week in Ghana made me realize (again and in new ways) how complicated it can get in practice.
Co-authored with Richard Akresh and Harounan Kazianga
This post was co-authored with Espen Beer Prydz. The findings, interpretations, and conclusions expressed in this post are entirely ours. They do not necessarily represent the views of the World Bank and its affiliated organizations.
No one said it’s easy to run a randomized experiment!
There is a minor buzz this week in Twitter and the development economics blogosphere about a paper (posted on the CSAE 2012 Conference website) that discusses a double blind experiment of providing different seeds of cowpeas to farmers in Tanzania.
One of my favorite papers to present is my paper on improving management in India, in part because we have wonderful photos to illustrate what bad management looks like and what improved practices look like (see the appendix to the paper for some of these). Photographing impact isn’t only useful for presentations and glossy summaries, but may potentially offer a new form of data. However, this is easier said than done, and today I thought I’d share some misadventures in trying to photograph impacts on small firms.