- How to be efficient – excellent advice from Dan Ariely In particular I liked “A calendar should be a record of anything that needs to get done — not merely of interruptions like meetings and calls.” and “frequent email checks can temporarily lower your intelligence more than being stoned”
- A third paper in 3ie’s internal replication series is now out – along with a response from the authors (Stefan Dercon and co-authors). The author’s response is interesting for some of the issues with such replication exercises that it raises “At the outset of this exercise, we were enthusiastic, but possibly naive participants. At its end, we find it hard to shake the feeling that an activity that began as one narrowly focused on pure replication morphed – once our original findings were confirmed (save for a very minor programming error that we willingly confess to) - into a 14 month effort to find an alternative method/structure of researching the problem that would yield different results.” (See also Berk’s posts on the previous replications).
- On the Let’s Talk Development blog, Emanuela Galasso reflects on the Chile Solidario program and how social programs can move from social protection to productive inclusion.
- From Cornell’s Economics that really matters blog – conducting fieldwork in a conflict zone in Mexico.
- Notes from the Field
- One of the best descriptions of what the productivity term A is in the production function – Growth Economics illustrates through Universal Studios’ Harry Potter attraction.
- At the CGD blog – impact of the GAVI vaccine initiative on vaccination rates in poor countries – using a country GNI per capita threshold for eligibility.
This post is co-authored with Marshall Burke.
One morning last August a number of economists, engineers, Silicon Valley players, donors, and policymakers met on the UC-Berkeley campus to discuss frontier topics in measuring development outcomes. The idea behind the event was not that economists could ask experts to create measurement tools they need, but instead that measurement scientists could tell economists about what was going on at the frontier of measuring development-related outcomes. Instead of waiting for pilot results, we decided to blog about some of these ideas and get inputs from Development Impact readers. In this series, we start with recent progress on measuring (“remote-sensing”) agricultural crop yields from space.
- Ted Miguel is teaching a course on research transparency methods in the social sciences. Berkeley is posting the lectures on YouTube. Lecture 1 is now up.
- Chris Blattman on a paper looking at how the tendency to publish null results varies by scientific field.
- In Science, Jorge Guzman and Scott Stern on predicting entrepreneurial quality
- Ben Olken’s forthcoming JEP paper on pre-analysis plans in economics: this is a very nuanced and well-written piece, discussing both pros and cons – it notes a reaction I am increasingly persuaded by, which is that RCTs don’t really seem to have a lot of data-mining problems in the first place…and also that “most of these papers are too complicated to be fully pre-specified ex-ante”…main conclusion is benefits are highest from pre-specifying just a few key primary outcomes, and for specifying heterogeneity analysis and econometric specifications – less clear for specifying causal chain/mechanisms/secondary outcomes which can too easily get too complicated/conditional.