World Development symposium on RCTs

World Development has a great collection of short pieces on RCTs.

Here is Martin Ravallion’s submission: 

….practitioners should be aware of the limitations of prioritizing unbiasedness, with RCTs as the a priori tool-of-choice. This is not to question the contributions of the Nobel prize winners. Rather it is a plea for assuring that the “tool-of-choice” should always be the best method for addressing our most pressing knowledge gaps in fighting poverty.

… RCTs are often easier to do with a non-governmental organization (NGO). Academic “randomistas,” looking for local partners, appreciate the attractions of working with a compliant NGO rather than a politically sensitive and demanding government. Thus, the RCT is confined to what NGO’s can do, which is only a subset of what matters to development. Also, the desire to randomize may only allow an unbiased impact estimate for a non-randomly-selected sub-population—the catchment area of the NGO. And the selection process for that sub-sample may be far from clear. Often we do not even know what “universe” is represented by the RCT sample. Again, with heterogeneous impacts, the biased non-RCT may be closer to the truth for the whole population than the RCT, which is (at best) only unbiased for the NGO’s catchment area.

And here is David Mckenzie’s take: 

A key critique of the use of randomized experiments in development economics is that they largely have been used for micro-level interventions that have far less impact on poverty than sustained growth and structural transformation. I make a distinction between two types of policy interventions and the most appropriate research strategy for each. The first are transformative policies like stabilizing monetary policy or moving people from poor to rich countries, which are difficult to do, but where the gains are massive. Here case studies, theoretical introspection, and before-after comparisons will yield “good enough” results. In contrast, there are many policy issues where the choice is far from obvious, and where, even after having experienced the policy, countries or individuals may not know if it has worked. I argue that this second type of policy decision is abundant, and randomized experiments help us to learn from large samples what cannot be simply learnt by doing.

Reasonable people would agree that the question should drive the choice of method, subject to the constraint that we should all strive to stay committed to the important lessons of the credibility revolution.

Beyond the questions about inference, we should also endeavor to address the power imbalances that are part of how we conduct research in low-income states. We want to always increase the likelihood that we will be asking the most important questions in the contexts where we work; and that our findings will be legible to policymakers. Investing in knowing our contexts and the societies we study (and taking people in those societies seriously) is a crucial part of reducing the probability that our research comes off as well-identified instances of navel-gazing.

Finally, what is good for reviewers is seldom useful for policymakers. We could all benefit from a bit more honesty about this fact. Incentives matter.

Read all the excellent submissions to the symposium here.

On Field Experiments

Two quick thoughts:

  1. The world is a better place because more and more policymakers realize that evidence-based policymaking beats flying blind in the dark. Now if only we invested more in passing policy design, implementation, and evaluation skills to bureaucrats….
  2. Whenever academics get involved in field experiments, we typically try to maximize the likelihood of publication (see Humphreys below). But what is good for journal reviewers may not always be useful for policymakers. This is not necessarily a bad thing. We just need to be up front about it, and have it inform our evaluation of the ethics of specific interventions.

Below are some excellent posts (both old and new) on the subject.

NYU’s Cyrus Samii:

Whether one or another intervention is likely to be more effective depends both on the relevant mechanisms driving outcomes and, crucially, whether the mechanisms can be meaningfully affected through intervention. It is in addressing the second question that experimental studies are especially useful. Various approaches, including both qualitative and quantitative, are helpful in identifying important mechanisms that drive outcomes. But experiments can provide especially direct evidence on whether we can actually do anything to affect these mechanisms — that is, experiments put “manipulability” to the test.

Columbia’s Chris Blattman:

I’m going to go even further than Cyrus. At the end of the day, the great benefit of field experiments to economics and political scientists is that it’s forced some of the best social scientists to try to get complicated things done in unfamiliar places, and deal with all the constraints, bureaucrats, logistics, and impediments to reform you can imagine.

Arguably, the tacit knowledge these academics have developed about development and reform will be more influential to their long run work and world view than the experiments themselves.

Columbia’s Macartan Humphreys on the ethics of social experimentation:

Social scientists are increasingly engaging in experimental research projects of importance for public policy in developing areas. While this research holds the possibility of producing major social benefits, it may also involve manipulating populations, often without consent, sometimes with potentially adverse effects, and often in settings with obvious power differentials between researcher and subject. Such research is currently conducted with few clear ethical guidelines. In this paper I discuss research ethics as currently understood in this field, highlighting the limitations of current approaches and the need for the construction of appropriate ethics, focusing on the problems of determining responsibility for interventions and assessing appropriate forms of consent.

…. Consider one concrete example where many of the points of tension come to a head. Say a researcher is contacted by a set of community organizations that want to figure out whether placing street lights in slums will reduce violent crime. In this research the subjects are the criminals but seeking informed consent of the criminals would likely compromise the research and it would likely not be forthcoming anyhow (violation of the respect for persons principle); the criminals will likely bear the costs of the research without benefitting (violation of the justice principle); and there will be disagreement regarding the benefits of the research—if it is effective, the criminals in particular will not value it (producing a difficulty for employing the benevolence principle). Any attempt at a justification based on benevolence gives up a pretense at neutrality since not everyone values outcomes the same way. But here the absence of neutrality does not break any implicit contract between researchers and criminals. The difficulties of this case are not just about the relations with subjects however. Here there are also risks that obtain to nonsubjects, if for example criminals retaliate against the organizations putting the lamps in place. The organization may be very aware of these risks but be willing to bear them because they erroneously put faith in the ill-founded expectations of researchers from wealthy universities who are themselves motivated in part to publish and move their careers forward.

University of Maryland’s Jessica Goldberg (Africanists, read Golberg’s work):

Researchers have neither the authority nor the right to prohibit a control group from attending extra school, and they cannot require attendance from the treatment group. Instead, researchers randomly assign some study participants to be eligible for a program, such as tutoring.  Those in the control group are not eligible for the tutoring provided by the study, but they are not prohibited from seeking out tutoring of their own.

The difference may seem subtle, but it is important.  The control group is not made worse off or denied access to services it would have been able to access absent the experiment. It might not share in all of the benefits available to the treatment group, but that disadvantage is not necessarily due to the evaluation.

Georgetown’s Martin Ravallion:

I have worried about the ethical validity of some RCTs, and I don’t think development specialists have given the ethical issues enough attention. But nor do I think the issues are straightforward. So this post is my effort to make sense of the debate.

Ethics is a poor excuse for lack of evaluative effort. For one thing, there are ethically benign evaluations. But even focusing on RCTs, I doubt if there are many “deontological purists” out there who would argue that good ends can never justify bad means and so side with Mulligan, Sachs and others in rejecting all RCTs on ethical grounds. That is surely a rather extreme position (and not one often associated with economists). It is ethically defensible to judge processes in part by their outcomes; indeed, there is a long tradition of doing so in moral philosophy, with utilitarianism as the leading example. It is not inherently “unethical” to do a pilot intervention that knowingly withholds a treatment from some people in genuine need, and gives it to some people who are not, as long as this is deemed to be justified by the expected welfare benefits from new knowledge.

More Evidence of The Effects of Unconditional Direct Cash Transfers

Haushofer and Shapiro have a really cool paper evaluating the impact of unconditional direct cash transfers to households in rural southwestern Kenya (Rarieda in Siaya County). The paper contains several great insights relevant for policy-makers on the promise of direct cash transfers. Here are some highlights:

[i] …… we find increases in holdings of home durables (notably metal roofs, ownership of which increased by 23 percentage points over a control group mean of 16 percent), and productive assets such as livestock, whose value increases by USD 85 over a control group mean of USD 167. These investments translate into higher revenues from agriculture, animal husbandry, and non-agricultural enterprises; monthly revenue from these sources increases by USD 17 relative to a control group mean of USD 49. Note, however, that this revenue increase is partially offset by an increase in flow expenses for agriculture, animal husbandry, and business (USD 13 relative to a control group mean of USD 24).

[ii] We find that indeed monthly transfer recipients are significantly less likely to invest in durables such as metal roofs than lump-sum transfer recipients, suggesting that households may be both credit- and savings-constrained. The fact that program participation required signing up for mobile money accounts, which are a low-cost savings technology (people could have chosen to accumulate their transfer – and even add other money – on their M-Pesa account), suggests that the savings constraint at work is more social or behavioral than purely due to lack of access to a savings technology.

[iii] …. contrary to previous literature and our expectation, we find no significant differences between transfers to men and transfers to women in expenditure decisions or any other outcomes.

Oh, and there is more…

… we find significant reductions in cortisol levels in several treatment arms: specifically, large transfers, transfers to women, and lump-sum transfers lead to significantly lower cortisol levels than small transfers, transfers to men, and monthly transfers. Some of these effects occur in the absence of differences in traditional outcome variables. Together, these results support a causal effect of poverty (alleviation) on (reductions in) stress levels. More broadly, they suggest that psychological well-being and cortisol can complement traditional welfare measures, and in some cases may in fact respond to interventions with greater sensitivity than these traditional measures.

Amazing stuff.

So what are some of the policy implications?

Direct cash transfers are not the panacea to underdevelopment. But these findings and others out there (see summary here) are evidence that we should seriously consider Martin Ravallion’s idea of raising the consumption floor of the poorest of the poor in developing countries through direct policy intervention (e.g. through cash transfers).

Making direct cash transfers work for development will be predicated on taking the interventions out of the humanitarian/aid sphere, and integrating them into the national political economies of developing countries.

In my view, the need for a higher consumption floor will soon become politically salient due to rapid urbanization rates in many developing countries. Obviously, aid money alone will not be able to fully finance such a policy. More efficient public finance management in developing countries will be one way to fill the gap. Putting aside the overhyped storied budgetary leakages due to corruption, many developing countries still do not meet their annual budgeted expenditure goals due to lack of absorptive capacity, i.e. money simply never gets spent at the end of the fiscal year and is returned to the treasury.

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For instance, according to an internal Ugandan government report, between 2004-2010 an average of 3.4% of budgetary allocations to central government ministries, departments, and agencies returned to the treasury (this was net of corruption and other leakages). Note that the figure is most likely higher if you factor in local government expenditures. And as Figure 2 above shows, late disbursement is the norm, which makes budgeting within government agencies a nightmare. In addition, over the same period (2004-10), the proportion of the budget that was simply not released (as opposed to released and not absorbed) was a staggering 9.92%!

This is money that can go directly to citizens’ pockets. And we have the technology, thanks to M-Pesa, to effect the policy. Governments shouldn’t be allowed to handle more money than they have capacity to spend. Plus making legislative appropriation conditional on agency capacity could be a way to incentivize capacity building more than a million workshops and study tours could ever do.

Lastly, the idea of a consumption floor for the urban poor might not appeal to some higher income tax payers. But smart politicians should be able to remind these voters that there is only so much physical security that one can get from high fences topped with electrified razor wire.