Tag Archives: bill gates

It pays to go to school

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This is from The Economist:

WHICH has provided a better return in recent decades: America’s stockmarket or education? The latter, according to a research review by George Psacharopoulos and Harry Patrinos for the World Bank. The two economists looked at 1,120 studies, across 139 countries, and came up with an annual average “rate of return”—actually a pay premium, the increase in hourly earnings from an extra year of schooling—of 8.8%. The analogy is inexact, but for comparison America’s stockmarket returned an annual 5.6% over the past 50 years.

Their figure excludes social gains, such as lower mortality rates associated with greater education. The premium is higher for girls and for primary education. It is also higher in poor countries, presumably because the smaller the share of educated people, the higher the pay they can command. The same reasoning suggests that the return should have dwindled as educational attainment rose. Instead, it has stayed strong, especially for higher education.

More on this here.

Screen Shot 2018-05-05 at 5.45.31 PM.pngEducation attainment appears to be trending in the right direction across the globe (see image). However, the rate of improvement over the last three decades has been higher in some regions than in others. For example, while in 1992 Africa and South Asia had 42% and 38% of the out-of-school children of primary age, respectively, by 2014 the comparable figures were 57% and 19%. Clearly, African states need to do more.

The Bill & Melinda Gates Foundation has recently announced its foray into education. If done well, the Foundation’s involvement in the education secctor has the potential to nudge policy makers in the right direction, while also generating valuable data for cross-country comparisons.

Bill Gates on the Aid Debate

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Critics are right to say there is no definitive proof that aid drives economic growth. But you could say the same thing about almost any other factor in the economy. It is very hard to know exactly which investments will spark economic growth, especially in the near term. However, we do know that aid drives improvements in health, agriculture, and infrastructure that correlate strongly with growth in the long run. Health aid saves lives and allows children to develop mentally and physically, which will pay off within a generation. Studies show that these children become healthier adults who work more productively. If you’re arguing against that kind of aid, you’ve got to argue that saving lives doesn’t matter to economic growth, or that saving lives simply doesn’t matter [3 Myths].

That is Bill Gates writing in his 2014 annual letter. If you haven’t read it yet, go ahead and read it. He makes some good points.

You should also read Jeff Sachs and William Easterly on their ongoing “debate.”

I think most reasonable people would agree that Sachs kind of oversold his big push idea in The End of Poverty. Or may be this was just a result of his attempt to shock the donor world into reaching the 0.7 percent mark in contributions. In any event it is unfortunate that the debate on the relative efficacy of aid left the pages of journal articles in its current form. It would have been more helpful if the debate spilled into the public in a policy-relevant form, with questions like: under what conditions does aid make a difference? What can we do to increase the efficacy of aid? What kinds of aid should we continue and what kinds should we abolish all together?

Obviously aid alone will not turn the Central African Republic into Denmark. It is also obvious that less corrupt governments do a better job of reducing infant mortality with aid money than their more corrupt counterparts. This is what policy-makers need to know, if they don’t already.

UPDATE: For more on this see Brett’s response to this post. And the BR forum on Making Aid Work.

Does Chris Blattman hate state capacity?

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The simple answer is NO. The long answer is below.

Blattman’s latest post decries Bill Gates’ (and much of the development community’s) focus on data gathering, and may I add, strengthening of statistics departments. He writes:

I would like to see better GDP numbers–who wouldn’t?–but it’s hard for me to see the constraint on development this revelation would relieve, and why it’s anywhere close to the top ten constraints poor countries face.

The problem with those of us in the development complex, be we academics or Presidents or foundations or NGOs, is we want the world nicely ordered with levers to pull and a dashboard to monitor. And so we put a lot of energies into levers and dashboards and monitors.

I think of poverty and political powerlessness in terms of constraints and frictions–the limitless host of things, little and big, that made it more difficult to run a business profitably or turn a profit or invent a new product or get your kid educated or select the leader who serves your interests. States and institutions and norms and technology and organizations reduce these frictions and relieve these constraints. That is the fundamental driver of development. This is the basic logic behind almost every theory of development in your textbooks, from growth models to poverty traps to everything in between.

Blattman is right that improving the capacity of statistics departments will not do much to alleviate poverty now (although as I write this in the basement of a government library in Nairobi I can’t stop thinking that stats departments need to do more). At the same time however, I would be wary of an outright dismissal of the need for better data gathering by governments, for two reasons.

Firstly, at the core of state capacity is the ability to make legible (depite Scott’s observations) the terrain over which the state claims to have dominion. Strong states are those that know your home address, the number of children you have and how much money you made last year. When governments have the capacity to get better GDP data, they will also know how many kids died or were not immunized last year, etc etc. And perhaps more importantly, they will be able to know how much you made last year and how they can get a bigger share of it. As Besley and Persson have argued, there is a strong case to be made for the centrality of public finance to development. Poor countries have small tax bases yes, but tax evasion in these countries still denies national treasuries lots of cash. And it is not just a question political will. Low capacity plays a role. Imagine trying to implement an income tax in a country of about 20 million adults but where under 4 million are in formal employment and can have their taxes withheld.

Secondly, Blattman seems to be making an argument for the private sector as a key part of greasing frictions that stifle development (which is true). But the private sector initiatives he cites can only flourish when there is strong state monitoring (with reliable data) in the background. Credit bureaus need a strong and enforceable regulatory framework. Otherwise no one will believe their credit reports. Freedom of (government) information laws are cool, but such information must first exist, and in reliable format. In other words stats departments must do their job well.

Lastly, good data also make for more informed politics. Kenya, for instance, could do with more disaggregated GDP data – by counties or lower – as it attempts to implement a devolved system of government and revenue allocation.

All this to say that when states have a handle on how much is produced, they will know how and where to get their share. And the more they demand a bigger share, the more the people will demand some of it to be returned as public goods (and these can also include reliable information that would be accessed via freedom of information laws). Yes, GDP data was invented post-WWII when some countries were already winning against poverty for decades. But even before that the more successful states were the ones that were better at information gathering. Flying blind is simply not an option for states.