So recently one of the government agencies I am working with was telling me that they were getting a lot of pressure from communities who had been randomized out of the first phase of a program. The second phase is indeed coming (when they will get the funding for their phase of the project) but the second round of the survey has been delayed – as was implementation of the first round of the program. But that doesn’t make the pressure any less understandable.
A number of recent field experiments have been conducted within firms and across firms. In another paper in what is shaping up to be an excellent forthcoming Journal of Economic Perspectives symposia on experiments, Oriana Bandiera,Iwan Barankay and Imran Rasul give their take of what we have learned from firm experiments so far, and their ideas on further research directions.
Field experiments within firms
- Financial Sector
Numerous recent discussions on the future of development financing focus on the delivery of results and how to mainstream accounting for results in aid flows (see here for one review paper by Nemat Shafik). This “results based approach” to aid is gathering steam in many contexts.
Last week I wrote about “treatment as prevention.” Because being treated by a combination of ARV drugs effectively prevents the transmission of HIV from an infected person to his (her) uninfected partner, the idea is that if we were to test as many people as possible, find out who is infected, and offer them ARVs, we could make significant headway in preventing the spread of HIV. In other words, test and treat.
So in my quest to understand the gender dimensions of water supply this week, I stumbled upon a nice paper by Florencia Devoto and coauthors. They look at the effects of providing piped water in Tangiers, Morocco. The immediately cool thing about this paper is that they got something quite hard – randomization in an infrastructure project.
In an interesting new paper, Jens Ludwig, Jeffrey Kling and Sendhil Mullainathan argue that economists should be doing more experiments to identify behavioral mechanisms, and that these can be central to policy, even if the experiments themselves are far from what a policymaker would implement. So what are these mechanism experiments, and what can we learn from them?
· At bigthink.com - Does abstinence help kids stay in school? The difficulties of inference from observational studies.
Last month, NIAID released news that treating HIV-infected partners in mostly heterosexual HIV-discordant couples at 13 sites around the world reduced HIV transmissi
Markus’s previous post on the measurement of sensitive information has started the ball rolling on a major topic that we all confront in field work – accurate measurement. This is an especially acute issue for studies that investigate socially undesirable or stigmatized behaviors such as risky sexual practices or illegal activities.