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September 12, 2008

Questioning randomized evaluations

Randomized evaluations seem to be all the rage for figuring out whether to charge for bednets or the value of consumer credit. But some economists have started to ask questions. Chris Blattman raises the question of opportunity cost:

Randomized trials are expensive and time-consuming, and it's worth specifying under what circumstances (if any) they ought to be absorb the time and energy of the world's best and brightest development economists.

Meanwhile, Evelyn Stark over at CGAP has similar concerns. While randomized experiments may provide useful information, they can be expensive and time-consuming: "Expense - cited as equal to the cost of the microfinance intervention being tested." In some circumstances, simple monitoring and evaluation without randomization might be enough, even if it leaves us with less certainty about the outcomes. Perhaps it's time to develop more formal cost-benefit guidelines for randomized evaluations?   

Update: Owen makes a valuable point in response to this posting:

Our problem is that we are investing too little in rigorous evaluations, not too much.  We’ve been giving aid for 50 years now with pitifully little evidence about what really works. 

Of course it is true in principle that we could invest too much in evaluation - but the point of diminishing returns is a long way above where we are now. The sums of money involved are trivial by comparison with the huge amounts of aid we are spending on the basis of far too little information.

I couldn't agree more! See, for instance, some skepticism on OLPC in the absence of proper evaluation. In aggregate, we almost certainly invest too little in evaluation, and randomized evaluation is the most promising type of evaluation that we have available. However, let's suppose that many more resources are devoted to evaluation - we still need to make a judgement call about how best to spend that money, and a cost-benefit analysis would help.

Let's take a specific example. The Inter-American Development Bank is currently carrying out an evaluation of OLPC in Haiti. Price tag? More than $5 million. Let's assume for a second that the evaluation comes up roses. What then? Can we assume that the OLPC would have a similar impact in Peru? Or Jamaica? How about Azerbaijan? Or should we carry out a randomized evaluation in each of these countries? We may not be at the point where we need to answer that question, but it's worth thinking about it now.

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A Randomised Evaluation is what Statisticians refer to as a Random Survey study, which is basically cheaper than a Census in terms of time, financial cost, etc, but the result may not be a true representation of the population under consideration.

However, to ensure that the result of a randomised evaluation is reliable, the evaluator should reduce experimental errors.

Thank you.


If there is village-level ICT penetration, e-governance can be used as a tool to get direct feedback from the grassroots target beneficiaries. Otherwise, I'm afraid the evaluations, albeit subject to stringent quality standards, are only a way of feeding the institutions to whom organisations like the UN and the World Bank outsource these studies. Are we pragmatic enough to concede this or at least debate about it?


Randomised evaluations may come up very expensive. The dilemma is choosing between expensive and relatively precise methods or less expensive but bias-prone ones. Is it better to ignore something than to know it unaware it might be twisted? Oh, Hamlet...!


I'm so pleased to see that people are interested in RCT... I am interested in determining when RCTs make the most sense? It seems that as microfinance institutions (CGAPs area of work) are growing so rapidly, adapting technology, improving products and services that RCTs can become quickly outdated (not to mention the expense). Is there a reasonable "rule of thumb" as to when market research, regular monitoring and/or RCT would be the most useful tool?


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