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:
Markus Goldstein's blog
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.
We know malaria is a big problem and we know fake drugs are a big problem. What do you get when you put them together? Bad news. A recent paper by Martina Bjorkman-Nyqvist, Jakob Svensson and David Yanagizawa-Drott (ungated version here) shows how bad this problem is in Uganda, and provides an innovative way to deal with it.
I am currently in Malawi rolling out a firm survey with my colleagues Francisco Campos and Manuela Bucciarelli. As we’ve gone through the enumerator selection and training this week and a pre-test of the survey, a number of observations have come up – some related to firm surveys in particular, some more general. In no particular order:
Today, if you wander on over to the Millennium Challenge Corporation website, you’ll find a brief on the results from 5 impact evaluations of agricultural training projects. This is exciting for a number of reasons.
The World Bank’s Financial Access Database, which has quite recent representative data for most countries in the world, indicates that in Africa, for instance, only about a quarter of the population has a bank account. And less of them use it.
Bouncing along a dusty road in Ghana, I had an eye-opening conversation with a colleague who was supervising a survey we were doing. It turns out he had been offered a more prestigious job, with a significantly higher salary, elsewhere in Ghana. But he was turning it down.