· Givewell’s blog has an extended discussion revisiting the case for economic benefits of deworming.
Poor households in developing countries face large and varied risks. Many agriculture-dependent households, for example, are at risk of drought- or flood-induced crop failures or livestock deaths. The death of a family member often implies having to fund expensive burial ceremonies, and if the deceased was the household’s primary earner, replacing her/his stream of income is an even bigger problem.
In clustered randomized experiments, random assignment occurs at the group level, with multiple units observed within each group. For example, education interventions might be assigned at the school level, with outcomes measured at the student level, or microfinance interventions might be assigned at the savings group level, with outcomes measured for individual clients.
You might get a similar "DI Bump" if you submit a post on your job market paper:
· Jon Baron discusses the need to move towards evidence-based funding on the NY Times Economix blog including some cases where this has been done in the U.S. context.
My job market paper brings some good news to the impact evaluation community. First, it shows that causal inference in randomized controlled trials (RCTs) relies on weaker assumptions than was previously thought. Second, it shows that RCTs capture local treatment effects that are less local than we previously believed.
This is the third in our series of posts by PhD students on the job market.
This is the second in our series of posts by graduate students on the job market this year.