@nic the frontier keeps moving but:
the Glennerster and Takavarasha book is good
and the Duflo Glennerster Kremer “toolkit” paper ( https://scholar.harvard.edu/files/kremer/files/randomization_toolkit_dev_economics.pdf ) is excellent, though pre analysis plans basically arrive in the social sciences after these.
Miguel and Christensen (in both book and paper form) reflect on advances in transparency.
https://www.aeaweb.org/articles?id=10.1257/jel.20171350
https://www.nber.org/papers/w22989
Also tagging @ryancbriggs
@ryancbriggs @nic totally agree, great point Ryan. here is Julian Reif’s coding guide for projects along these lines!
Pam Jakiela and I teach this material. Our syllabi may be useful, plus some slides and other materials.
Our Barcelona School of Economics RCT course about this:
http://economics.ozier.com/bgse-2019/
https://bse.eu/study/summer-school/development-economics
And Pam’s Program Evaluation course at Williams:
@owenozier @ryancbriggs These slides are great, and I'm going to steal from them ruthlessly.
FWIW the use case I have in mind is a doctoral student who wants to run a survey experiment, not my own work or development RCTs specifically. It's not a topic I currently cover in my PhD level methods class, but I've decided to add it because of student interest in writing these papers. They need to know how and why to do a power calculation before they run something with N=60 and ten treatment arms.