Targeting Direct Cash Transfers to the Extremely Poor [pdf]

A quantitative research paper (not totally unbiased but very well done) on data around giving directly to the extremely poor in Africa

Paper describes development and refinement of detection of thatched versus metal roofs in an area of interest from satellite photography.<p>The use of this data to target communities for foreign aid is touched on in passing.

If GiveDirectly does end up using the methods described in this paper for village selection, it would be very interesting to learn how accurate the method is (of using thatched vs. non-thatched roofs to estimate depth of poverty).<p>The paper indicates that GiveDirectly did pilot this algorithm in 2014 but does not seem to have numbers on an accuracy increase&#x2F;decrease and assigns a probable increase to consistency and elimination of human error.

I am surprised they didn&#x27;t address the perverse incentives this may create. Surely, if trying to help people out of poverty, you shouldn&#x27;t make their help _contingent on them continuing to use thatched roofs_. Worth noting, because if the program is successful, it will change which communities are most in need of help, so you can&#x27;t just run the algorithm once and forget about it.

I demand giving be analyzed in an open data sort of sense empirically over the long term for viable effectiveness. I question all methods that seemingly signal &#x27;good person&#x27; and fail to produce long term results.<p>For everything else, there&#x27;s Watsi.

A question of semantics: why are these usually called &quot;transfers&quot; instead of &quot;payments?&quot;