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June 25, 2007

Aid at random

On the topic of aid effectiveness, Tim Harford discusses a new book by "randomista" Abhijit Banerjee:

Banerjee argues that there is a solution: aid agencies should copy medical researchers and run randomised trials. In one famous trial in western Kenya, economists used the alphabet to decide randomly which of 178 Kenyan schools would receive flip charts. Because the allocation was random rather than based on need, enthusiasm or political connections, improvements in test scores or attendance were almost certain to be due to the aid programme. Previous evidence suggested that children learnt more with flip charts, but the randomised trial proved otherwise.

I would count the flip chart trial a big success. Even though the children learnt nothing, the aid community learnt a lot.

Many aid programmes are introduced gradually for want of funds; it does not take much to turn a gradual introduction into randomised delay for the purposes of finding out what works. These operations are too important to carry out with our eyes closed.

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Comments

I have always found it distressing that this is not commonplace practice for testing the utility of programs or wide-reaching policies.

Giving the many variables associated with the success or failure of a program, randomized trails or other elements of the epidemiological arsenal seem "ideal" mechanisms for seeing if a program is working and for ferreting out reasons for failure.

How rigorous are the typical methods currently used for sorting out programmatic effectiveness?


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