Today I wanted to take the opportunity to talk about a new initiative that the Africa Region and the Research Group at the World Bank are launching today. The idea here is that we don't know enough about how to effectively address the underlying causes of gender inequality. Let me start by explaining what I mean by underlying causes. Take the case of female farmers. There is a lot of literature out there which shows that women have lower agricultural yields than men. And some of it shows that this is because women have lo
When I drop my kids off at daycare, it does occasionally occur to me: what am I doing to them? (This thought is particularly acute when they wrap themselves around my legs). Last year, 3ie put out a systematic review on the impact of daycare programs. The conclusions are instructive:
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.