Category Archives: Uncategorized

Who has the power to count chickens?

In March I recounted how former colleagues Michael Clemens, Steven Radelet, and Rikhil Bhavnani wrote an excellent paper in 2004 on the impact of foreign aid on economic growth, “Counting Chickens When They Hatch.” The idea captured in that title is that it is important to think about the likely timing of the impacts of aid. Don’t design your analysis as if you expect that funding for teaching 6-year-olds will raise economic growth in four years. Match the follow-up period to the type of aid. Count your chickens only when they hatch.

Some years later, and joined by another CGD recruit, Samuel Bazzi, those authors overhauled their paper and published it in the top-flight Economic Journal (ungated version). The final version is quite different but also excellent (it won the journal’s best-article prize). Instead of doing its own econometrics afresh, it modifies the three most-cited studies in the aid-growth literature in light of the “counting chickens” insight. Although those studies disagree on whether and when aid “works,” in the sense of boosting growth, Clemens, Radelet, Bhavnani, and Bazzi (CRBB) conclude that revising the studies to take timing into account causes all results to converge, to a ginger but positive appraisal. (Listen to Michael speak cautionarily about “Chickens” in this Library of Economics and Liberty podcast.)

I say “excellent” and I mean it. But, true to type, I actually doubt the econometric reasoning. I am not persuaded by these results that “aid inflows are systematically associated with modest, positive subsequent growth.” Continue reading →

Editing ODA: What to Omit and Add in the Definition of Aid

The last of my three posts for CGD on redefining Official Development Assistance (ODA) tries to get away from the loan business (which has gotten most of my attention and is the reason the definition of ODA is up for discussion at all). In the new post I talk about what activities ought to dropped from or added to the definition in order to keep it credible and up to date.

Rejoinder to Pitt

The April issue of the Journal of Development Studies includes the final version of my article with Jonathan Morduch replicating the study of the impact of microcredit in Bangladesh by Mark Pitt and Shahidur Khandker. Properly, the journal also carries a reply from Mark Pitt. (Ungated versions of the dueling documents are here and here.) To my surprise, JDS did not solicit a rejoinder from us the way they did in a nearly identical situation involving a JDS editor as replicating author. Perhaps this is a sign of the strength the editors see in our paper…which is to say, maybe I should have just chilled.

But as usual, Pitt’s arguments are strongly worded even as their subject remains technical. So the average reader will absorb the style more than the substance, and wonder, I fear, who are these fools Roodman and Morduch? So for the public record, here is a rejoinder from yours truly. It’s a quote-and-response.

“RM [Roodman & Morduch] have backed off many of their prior claims and methods.”

No. The first version of our paper questions the exogeneity of the core intent-to-treat variables; highlights that an asserted discontinuity in treatment, central to Pitt & Khandker’s (PK’s) claim to quasi-experimental status, is absent from the data; observes that the magnitude of the impact estimates depends on an arbitrary censoring choice for the “log of 0”; and demonstrates that a more-robust linear estimator produces no evidence of impact. Those arguments stand.

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More on the Definition of ODA: Proper Credit for Credits

I promise this is the last post on the incorporation of loans into the measurement of Official Development Assistance. Actually, it’s a cross-posting of something I just wrote for CGD. Leaving aside the question of whether to factor default risk into the determination of whether a loan is aid, I enunciate four principles for counting loans as aid.

Next week I’ll be in Paris, where I will participate in several meetings at the DAC on these very questions, and present my work to staff. I’m sure I’ll learn a lot about the substance and the process. I’ll report back to you after that.

 

The Crisis in Official Development Assistance (ODA) Statistics: Needed Revamp Would Lift Japan, Lower France

Sorry for the silence here.

I worked on two main projects over the last month. For GiveWell and Good Ventures, I began reviewing what is known about the economic impacts of immigration in receiving countries, particularly on low-wage workers. Good Ventures is considering labor mobility as an area in which it could actively support policy advocacy. But they want due diligence on the concern that allowing more immigrants in will depress earnings for those already here. I’ll share more of that work when it’s ready.

And for my old employer, the Center for Global Development, I wrote a paper that expands on my earlier work on how foreign aid should be defined for purposes of statistics. CGD posted the paper last Thursday and a blog post about it this morning. Go read that. (More blogging for CGD will follow.)

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First thoughts on institutions and development

For many decades, researchers have been asking why some countries are so rich and some so poor. They have offered many answers, from corruption to banking to guns, germs, and steel. A widely if vaguely held view is that “institutions” are central. In seminal work on this theme, Nobelist Douglass North defined institutions as “the rules of the game in a society, or, more formally, … the humanly devised constraints that shape human interaction.” In their recent book, Why Nations Fail, Daron Acemoglu and James Robinson popularize earlier scholarship with Simon Johnson on the historical roots of key institutions that undergird private enterprise, such as rule of law and secure property rights.
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The impact of life-saving interventions on fertility

My client GiveWell, which is working closely with the new foundation Good Ventures, commissioned me to review the scientific evidence on the impact of deaths on births. When a life is saved, especially a child’s life, do families go on to have fewer additional births than they otherwise would? Is the effect more than one-to-one or less? As I write just below, a criticism sometimes thrown at life-saving interventions is that they do as much harm as good by accelerating population growth.
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The seeds of the “data revolution”

Last summer the U.N. High-Level Panel of Eminent Persons on the Post-2015 Development Agenda (HLP) released a report that does a fine job of thinking through what international development goals should succeed the Millennium Development Goals, which expire in 2015. Perhaps to the surprise even of its authors, one idea in the report got lots of people talking: the call for a “data revolution”: Continue reading →