The American Economics Association announced today that the 2012 Johns Bates Clark medal (for the most significant work by an economist under age 40) winner is Amy Finkelstein of MIT, who has made important contributions to the study of health and insurance markets. The AEA summary of her work is here.
After last week’s review of Mark Rosenzweig’s review of Poor Economics, I got asked, via email and comments, what I thought about Martin Ravallion’s review in the same issue of the Journal of Economic Literature.
So say 87% of the respondents in a survey used by Dupas and Robinson in an interesting forthcoming paper on what happens when you help people get set up with bank accounts in Kenya. And, as we will see, this problem seems to be particularly acute for women.
No one said it’s easy to run a randomized experiment!
· My colleague Leora Klapper and manager Asli Demirguc-Kunt have just released new global data on financial access around the World called the Global Findex, funded by the Gates Foundation.
Suppose that you’re told that a program reduced the rate of dropping out of school among 15 year-olds by 17% and this reduction was statistically significant. You are also told that the same figure among 12 year-olds is 38%. You would likely take note. Suppose now you’re told that these are the effects of a conditional cash transfer program, where the dropout rate among the control group is 37.7% and 16.8%, respectively for ages 15 and 12, thus the absolute effect sizes are 6.4 percentage points in each case.
An interesting new paper by Abhijit Banerjee, Raghabendra Chattopadhyay, Esther Duflo, Daniel Keniston, and Nina Singh shows how sometimes top-down reforms might be a good move through a look at a range of reforms tried out by the police in Rajasthan, India.
A number of developed countries now have linked employer-employee records, although to date I haven’t seen as many papers doing cool things with such data as I would expect. A new paper in the AEJ-Applied (ungated here) by Andrey Stoyanov and Nikolay Zubanov uses Danish data to show what is possible, and help provide some of the most convincing evidence yet that workers carry firm knowledge with them when they move.