The idea that public policy design should be informed by evidence is pretty much universal. But what does this ‘evidence’ consist of, and how should it inform the policy design process? Pose these questions and the picture becomes less clear.
In this post our Senior Partner for the Public Sector, Gulzar Natarajan, considers whether we need to revisit our interpretation of the ‘external validity’ of research, and the role that institutional knowledge has to play in informing policy-making.
Tim Ogden’s newly-released book on the use of Randomized Control Trials (RCTs) in development has been getting good reviews. The book is a compilation of interviews with researchers, critics, and non-government consumers of RCTs. One of the contributors, Nancy Birdsall, had this to say:
“My crude theory about the impact of research is not that research feeds into policy directly. Research kind of goes up in into the air, into the clouds. If it’s good, if it’s interesting, and perhaps especially if there is some compelling behavioral story behind it, as is often the case with an RCT, it gets circulated and cited. Eventually it filters down to World Bank operational people and donor staff and people in the ministries.”
But my own seventeen years of experience leading program implementation and policy formulation with local, state and central governments in India across a very broad spectrum of sectors makes me go even further and add:
“Sometimes, the story catches the attention of an influential policy maker(s) in a developing country by resonating with some of their, often diffusely held, prior beliefs. Or it arrives at a time when, due to a fortunate coming together of events, the story fits into the government’s narrative and also the evidence provides the bureaucratic justification to facilitate the decision. It then gets incorporated into (or part of) a program. Again sometimes, for a variety of reasons, it succeeds. And the story diffuses slowly…”
The critical point is that the evidence requires either an influential insider championor a ripe enough moment to take root. And even when this is taken care of, there is the small matter of getting the experiment to succeed in a system where successful implementation is a rarity. Finally, there are the natural uncertainties associated with any diffusion story. As can be imagined, the role of plain good fortune in this narrative is very large.
But it also offers important insights of relevance to us all trying to influence public policy.
The critical role of an insider champion or ripe enough time means that the tipping point is a function of the system preferences. In other words, the evidence can scream out as loudly as it can, but it is the demand side that counts.
If we accept this idea, then there are two points worth considering.
I explored this first question in an earlier post here in the context of Esther Duflo’s Richard T Ely Lecture. The plea was to start from the problem perceived by practitioners and, as suggested by Esther, to focus on the plumbing challenges. In this post, I’ll look to address the second issue.
The value of tapping into latent institutional knowledge
There’s no doubting that the vast body of experimental research which has been produced over the past two decades has led to some very impressive findings. But its success has also had the effect of skewing evidence generation heavily towards field experiments.
This overlooks the value of discovering institutional knowledge, hidden in communities and public systems. This type of institutional knowledge can be revealed through deep-dive problem solving using data analysis, interviews, observation, surveys, focus group discussions, and so on. And rigorous field experiments could help resolve uncertain elements of policy design which are deemed critical to its success, if required.
To take two examples I know well from direct engagement: in the case of India’s employment guarantee works program, perceptive officials knew all along that instead of making advance payments, releasing money only on submission of individual work estimates, or reimbursement after completion of the work, would reduce corruption. Similarly, the utility of independent third party audits or inspections of everything from engineering works to skill trainings to effluent emissions has been widely known for years.
However, both here and with most other similar examples, it is the so-called plumbing of implementation that is far less certain.
There are several benefits to a process like this:
Thinking about this in a real world context, how would the process of arriving at a strategy to sell cheap shampoo sachets to poor people be dramatically different from one for selling mosquito nets or chlorine tablets to the same category of people? Is the process of devising a strategy by private financial institutions to attract deposits of low income people any different from that aimed at increasing savings amongst the same people?
For that matter, is there any radical difference between a commercial strategy to prompt positive responses from the market at the “bottom of the pyramid” and one that seeks to get the same target group to respond to similar incentives for their own welfare?
The argument here isn’t that one form of evidence generation should take precedence over another. It is only an argument for starting the process of evidence generation from exploring untapped institutional wisdom through all possible approaches and validating certain elements, if required, with field experiments.
Gulzar Natarajan is a Senior Partner at GIF. He is a member of the Indian Administrative Service, the elite tier of the Indian bureaucracy, and was, before joining GIF, working in the Office of the Prime Minister of India. He has previously held leadership positions as municipal commissioner of a city with a population of 1.5 million, as chairman and managing director of an electricity distribution company with 4.5 million consumers, as the head of the district government of Hyderabad District, and later as the vice chairman and managing director of the Infrastructure Corporation of Andhra Pradesh. In a seventeen-year career in the IAS, he has been intimately associated with the broad spectrum of development policy design and program implementation—rural and urban development, health and education, infrastructure creation and public-private partnerships, and regulatory governance and public finance.
Knowledge, by Rachel Sample on Flickr, used under a Creative Commons Attribution Non-Commercial No Derivatives 2.0 licence
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