All of David Roodman's Comments + Replies

But am I reading right that that one doesn't push through to a concrete demonstration of impacts on expected values of interventions?

1
GeorgeYang
1y
You're right. His critique is mostly about the decision cutoff rule, and assumes that Givewell has accurately measured the point estimate, given the data. On the other hand, the url you provided shows that taking into account uncertainty can cause the point estimate to shift. 

Interesting question! Certainly it is the nonlinearities in the cost-effectiveness analysis that makes uncertainty matter to an expected value maximizer. If we thought that the cost-effectiveness of an intervention was best modeled as the sum of two uncertain variables (a simple example of a linear model), then the expected value of the intervention would be the sum of the expected values of the two variables. Their uncertainty would not matter.

The most serious effort I know of to incorporate uncertainty into the GiveWell cost-effectiveness analysis is thi... (read more)

1
GeorgeYang
1y
Thank you again for taking the time to share your thoughts. I hadn't seen that link before, and you make a fair point that using distributions often doesn't change the end conclusions. I think it would be interesting to explore how Jensen's inequality comes into play with this, and the effects of differing sample sizes.

Good question! I think it brings out a couple of subtleties.

First, in putting forward the "universal" truth that education and earnings go hand-in-hand, I mean that this is a regularly found society-level statistical association. It does not mean that it holds true for every individual and it does not take a position on causality. So I don't mean to imply that if a particular child is made to go to school more this will "universally" cause  the kid to earn more later.

In particular, while I think poorer regencies got more schools and that increased pri... (read more)

I can do both--economics has a long tradition of accepting circulation of "working papers" or "preprints" without jeopardizing publication in journals. In fact, Esther suggested I hold off submitting a comment to the AER until she steps down as editor in a few weeks.

Actually, if clustering was not  as common in 2001 as now, it was not rare. She clustered standard errors in the other two chapters in her thesis. My future colleague Mead Over coauthored a program in 1996 for clustering standard errors in instrumental variables regressions in Stata.

2
Kinbote
1y
Nice. Good luck in getting it accepted! Methinks that if she clustered in the other two chapters, but not this one, she actually did try clustering and didn't like what it showed... Not that I'm judging; we've all done it. I remember hearing a rumor in grad school that there was some time period in the 90s when there was a bug in stata, and basically all the standard errors are incorrect from that time.

Hi Ozzie. I'm out of my depth here, but what I had in mind was the Uwezo program at one of my "this" links, which I believe was inspired by Pratham in India. I think these organizations originally gained fame for conducting their own surveys of how much (or little) children were actually learning, in an attempt to hold the education system accountable for results.

But that's surely just a small part of a large topic, how a citizenry holds a public bureaucracy more accountable. Specific solutions include "democracy"... You know, so just do that.

I should say ... (read more)

Thanks for the feedback. I can see why that is confusing. You figured it out. I inserted a couple of sentences before the first table to clarify. And I changed "young-old pay gap" to "old-young pay gap" because I think the hyphen reads, at least subliminally, like a minus sign.

3
Linch
1y
Thank you so much! I'm embarrassed to admit that I was indeed probably subliminally affected here by the ordering.

Thanks @MHR.

1. Is exactly the right question. My work is just one input to answering it. My coworkers are confronting it more directly, but I think nothing is public at this point. My gut is that the result is broadly representative and that expanding schooling supply alone is often pushing on a string.  It is well documented that in many primary schools in poor countries, kids are learning pitifully little. Dig into the question of why, and it has do with lack of accountability of teachers and school systems for results, which in turn has to do with ... (read more)

1
MHR
1y
Thanks for your response!
2
Ozzie Gooen
1y
This sounds like a really interesting hypothesis to me. If it were true, I assume it would imply some specific solutions, similar to what you mentioned. My guess is that the answer is no, but if there are other resources that explain or lay out this hypothesis further, I'd appreciate links to those. 

Hi Karthik. Without belaboring shades of emphasis, I basically agree with you. But you know, I've just spent thousands of words criticizing someone's work and I want to end positively, within reason.

I agree with much of this. A few responses.

As I see it, there are a couple of different reasons to fit hyperbolic growth models — or, rather, models of form (dY/dt)/Y = aY^b + c — to historical growth data.
...

I think the distinction between testing a theory and testing a mathematical model makes sense, but the two are intertwined. A theory will tend naturally to to imply a mathematical model, but perhaps less so the other way around. So I would say Kremer is testing both a theory and and model—not confined to just one side of that di... (read more)

3
bgarfinkel
4y
Just on this point: For the general Kremer model, where the idea production function is dA/dt = a(P^b)(A^c), higher levels of technology do support faster technological progress if c > 0. So you're right to note that, for Kremer's chosen parameter values, the higher level of technology in the present day is part of the story for why growth is faster today. Although it's not an essential part of the story: If c = 0, then the growth is still hyperbolic, with the growth rate being proportional to P^(2/3) during the Malthusian period. I suppose I'm also skeptical that at least institutional and cultural change are well-modeled as resulting from the accumulation of new ideas: beneath the randomness, the forces shaping them typically strike me as much more structural.

Thank you Ben for this thoughtful and provocative review. As you know I inserted a bunch of comments on the Google doc. I've skimmed the dialog between you and Paul but haven't absorbed all its details. I think I mostly agree with Paul. I'll distill a few thoughts here.

1. The value of outside views

In a previous comment, Ben wrote:

My general feeling towards the evolution of the economy over the past ten thousand years, reading historical analysis, is something like: “Oh wow, this seems really complex and heterogeneous. It’d be very surprising if we could mo

... (read more)
3
bgarfinkel
4y
Hi David, Thank you for this thoughtful response — and for all of your comments on the document! I agree with much of what you say here. (No need to respond to the below thoughts, since they somehow ended up quite a bit longer than I intended.) This is well put. I do agree with this point, and don’t want to downplay the value of taking outside view perspectives. As I see it, there are a couple of different reasons to fit hyperbolic growth models — or, rather, models of form (dY/dt)/Y = aY^b + c — to historical growth data. First, we might be trying to test a particular theory about the causes of the Industrial Revolution (Kremer’s “Two Heads” theory, which implies that pre-industrial growth ought to have followed a hyperbolic trajectory).[1] Second, rather than directly probing questions about the causes of growth, we can use the fitted models to explore outside view predictions — by seeing what the fitted models imply when extrapolated forward. I read Kremer’s paper as mostly being about testing his growth theory, whereas I read the empirical section of your paper as mostly being about outside-view extrapolation. I’m interested in both, but probably more directly interested in probing Kremer’s growth theory. I think that different aims lead to different emphases. For example: For the purposes of testing Kremer’s theory, the pre-industrial (or perhaps even pre-1500) data is nearly all that matters. We know that the growth rate has increased in the past few hundred years, but that’s the thing various theories are trying to explain. What distinguishes Kremer’s theory from the other main theories — which typically suggest that the IR represented a kind of ‘phase transition’ — is that Kremer’s predicts an upward trend in the growth rate throughout the pre-modern era.[2] So I think that’s the place to look. On the other hand, if the purpose of model fitting is trend extrapolation, then there’s no particular reason to fit the model only to the pre-modern datapoint