A new paper was released by the prestigious National Bureau of Economic Research a few days ago. The authors are well known and work at distinguished institutions: first author Barry Eichengreen is a widely cited expert at UC Berkeley, Donghyun Park is at the Asian Development Bank, and Kwanho Shin is at the Korea University in Seoul. The paper was approvingly cited by savvy bloggers like Kevin Drum and Ryan Avent at the Economist's Free Exchange blog. Here's what the abstract says:
However, I downloaded the paper (paying my $5 in the process) and read it. And I think the data analysis is deeply flawed and the paper's conclusions are wrong. Let me try to explain what the paper is saying and why you should pay attention to me, instead of to its prestigious authors.
First, let me be clear that I completely agree with the basic conceptual worldview of the paper:
I don't have any problem with this characterization for why late developing countries can grow faster than already industrialized countries, or that this process must end. I agree that countries like Japan, Korea, and Taiwan can be considered to have gone through this process, and are worth studying as analogies. I agree that the question of when this kind of slowdown will come to China is an extremely important question. My problem is with the way they go about trying to answer it.
What they do is to go through at database of country level GDP data back to 1950 (the Penn World Tables) and look for situations like the following:
- Countries that had a growth over 3.5% for an interval of seven years
- Followed by an interval of growth at least two percentage points lower for the following seven years.
- Which ended up with a GDP/capita of at least $10k/yr (in 2005 prices).
Then they look at the income levels that each country was at when the growth slowdown happened. They throw out the oil exporters as being driven by different dynamics (as I will also). Then they construct the following histogram:
This is where the $17,000 average level in the table comes from (they don't label the x-axis, but it's per-capita GDP). And once they have that, it's straightforward to see that China will cross that level in about five years, the most striking claim in the abstract.
To see the problems with what they are doing, let's start by taking all the countries in their Table 1 sample and plotting their real GDP/capita over the entire 1950-2009 interval that the Penn World Tables presently have:
Here I have added China to their sample as the heavy red line at the bottom (that's the one where we are trying to figure out what will happen). I have also made the US a heavy black line to be easier to see. Note that the US is in their sample, which should immediately give you pause, because I think we should view the US as essentially having been at or near the current technological productivity frontier at all times since the second world war. I have also marked with a green horizontal dotted line the approximate $17k/capita level that they say is the average of the growth slowdowns. A red vertical line is at 2015, where they say China is probably going to experience the same thing.
To illustrate some of the problems with their sample and procedure, I have removed all but three of the cases (also leaving in the US and China for comparison). I am also marking with a purple circle some of their growth slowdowns. These examples are not exhaustive of the issues with the sample, but are intended to illustrate a variety of classes of problems:
Furthermore, Denmark, like another of my problematic cases, the Netherlands, is really not a very persuasive story of being a fast growing developing country that hit the limits of their ability to play catchup with the advanced countries. Places like the Netherlands were already advanced countries in 1950, and the ratio of their GDP/capita to that of the US is relatively constant over time. The Netherlands gets into the sample because of a growth slowdown in the early 1970s - three years are in the table in 1970, 1973, and 1974. I have circled 1973/1974 as the most visible setback in the GDP/capita line. But again - this is not a fast developing country hitting the limits of its ability to over-invest in catchup - there was an oil shock in 1973! This is a story, like most of the advanced countries, of an oil-shock inducing a recession and a slowdown in growth. Again, this can't possibly tell us much about the income level when China will hit the limits of catch-up.
Finally, Uruguay (the sort of peachy colored line), which is listed for a slowdown in the mid 1990s. The problem here is that Uruguay is a completely unpersuasive analogy for what is happening in China. Uruguay starts and ends the sample as a lower-middle income country, and has never had an extended period of growth anything like the 10%/year level we've seen in China in recent years.
To try to get a better grip on the situation, I did two things. Firstly, to formalize the instinct that the US has been at/near the productivity frontier at most times, I expressed every country's GDP/capita as a fraction of the US value in the same year. Then I started kicking countries out of the sample, unless they met the following criteria: they started out the sample clearly less productive than the US (I took less than 60% as my threshold), and ended up significantly more productive, relative to the US, than they had started out. Ie, we want countries where it's somewhat plausible that there's a story of underdevelopment, period of rapid catchup, followed by slowing growth once the country is a fully developed country with modern capital infrastructure and levels of productivity.
That gives me this (much smaller) sample:
- mostly central and southern European countries that were somewhat more rural than the US or northern European economies in 1950, grew faster than the US in the 1950s and 1960s, and then slowed down to a similar pace of growth
- Asian countries that grew very fast somewhat later, but have slowed since (places like Japan, Korea, Taiwan, etc).
In that last figure, I also show (red dotted line) what happens if you extrapolate China's growth relative to the US for the next decade at the same pace as over the last ten years (a shade over 9%/year). You can see that by 2020, they are just getting to the lower end of the range. They will not be very close to it in 2015, contrary to what Eichengreen et al are saying.
As for the rest of the Eichengreen paper -- a bunch of regression experiments on their sample to find out what else influences the level of growth slowdown -- I won't deal with it in detail. If the sample is deeply flawed and the dependent variable is completely inappropriate, who knows what they'll find once they start plugging lots of things into the statistical black boxes, but it's not likely to be much in the way of insight.
Finally, I want to stress one thing: I am not saying China will definitely continue growing at breakneck pace for another decade plus. I think there are profound risks to that possibility: it seems very likely that so much growth in that large a country will trigger more big resource price shocks, which will slow China as well as everyone else. Plus, we are already at the point where it seems like it's only a slight humorous exaggeration to say that everything in Walmart and Home Depot comes from China, and it's not at all clear that they can continue to increase their exports at the recent pace for another 10-15 years. Furthermore, there are obviously large internal political risks in China's authoritarian system. What I'm saying instead is this: if they slowdown before something like 2025, it's very unlikely to be due to the fact that they've reached close enough to developed country productivity levels that they can no longer do fast catch-up growth. The reason will be different.
Testing blogger again.
ReplyDeleteYou know when a reviewer starts a paper heaping praise on the credentials of the reviewed work, you're about to see a major can of whoopass opened. This was no disappointment.
I emailed the authors with a link to this post, and I got a nice note back from Barry Eichengreen:
ReplyDeleteThank you for the thoughtful critique. We will do our best to assimilate it as we revise.
It will be interesting to see what changes if there is a second version!
Your analysis is very much appreciated. Thanks for taking the time to post it, very concise and helpful.
ReplyDeleteAs usual a very insightful analysis. Problem for the original paper (and the idea of incorporating your thoughts to the final draft) is that you more or less destroyed their initial assumptions.
ReplyDeleteMoreover, as a command economy (where the peasants can be kept on the farm by edict)several assumptions as to shift from rural to city life have to be revised. It remains that China (in its more developed regions) is starting to exhibit some of the excess that were present in Japan and Korea at the end of their initial growth phase.
Impressive
Why apply per-capita metrics to China? Let's look at them as a nation of "only" 400 million people, that skews things up a bit. After all the bulk of their populace are still your archetypal toiling rural peasants; the nation as a whole has a population greater than any continent except Asia itself, shouldn't we observe larger regions to gain insight into China's prospects?
ReplyDeleteOr so it seems to me. I don't hear this kvetch much if at all from actual researchers, is it wholly off base?
KLR:
ReplyDeleteWell, if you consider the building of freeway's as a proxy for their willingness to bring regions into the 21st century, and then compare this freeway map:
http://en.wikipedia.org/wiki/File:Map_of_NTHS_Expressways_of_China.png
to this population density map:
http://images.nationmaster.com/nm/motw/middle_east_and_asia/china_population_83.jpg
it certainly seems like they have plans for pretty much the whole population.
« But, to invoke that well-known theorist Nelly Furtado, all good things come to an end. » killed me :-)
ReplyDeleteThans for (once again) this excellent post.
I read an article on this paper over the weekend and I think you share the thoughts of many in that simple formulas may sell papers but not answer the question.
ReplyDeleteWhat came to mind is not so much the answer looking for a formula approach but what actually has sustained the US economy I would be interested in you applying debt levels and the extent growth has relied on 'productivity' disguised by a veil of cheap inputs from the less developed world and as China is now set to export inflation to the world how that might play out for the US and others in the "more developed world".
Thanks for your insights and look forward to further thoughts.
moc- australia
Is somebody try the hypothesis that China will slow when the accumulation of scrap ( ex.: less than ten years old buildings need major repairs, cities and provinces with too much debts, subpar roads....) will become a real drag on the economy.
ReplyDeleteI am a little late in reading this post but interesting nonetheless. Particularly so given China's recent announcement regarding reduced growth targets in future (now 'only' 7.5%).
ReplyDeleteSimilar to KLR's comment my view would be that it's important to account for GDP distribution amongst the population, not just an arithmetic mean GDP/capita.
If one of the driving forces behind structural GDP growth slow-downs in the past is that people start to trade-off lifestyle vs wealth (this is the Greece/Portugal vs Singapore/HK example you give) then using GDP/capita does not show the whole picture in a countries with a very large disparity in income (such as China).
You could amend the data by breaking the population into using percentiles based on their GDP/capita. Or, simpler, you could perhaps use an alternative average such as median or mode.
Still, a very interesting post which I enjoyed.
Nick
http://thelongtheshort.blogspot.com