I recently gave an interview on Economics Detective Radio with Garrett Petersen to talk about my forthcoming article in Economics & Human Biology (with Vadim Kufenko and Alex Arsenault Morin). In the interview, I explain why anthropometric history is important to our understanding of living standards, their evolution and short-term trade-offs in economic history. The interview is below, but you should subscribe to Garrett’s podcast as he is well on his way to becoming a serious competitor to EconTalk with the bonus that he does lots of economic history.
Yesterday, I published part 1 of what I deemed were the best papers and books in the field of economic history of the last few decades. I posted only the first five and I am now posting the next five.
- Carlos, Ann M., and Frank D. Lewis. Commerce by a frozen sea: Native Americans and the European fur trade. University of Pennsylvania Press, 2011.
This book is not frequently cited (only 30 cites according to Google Scholar), but it has numerous gems for scholars to include in their future work. The reason for this is that Carlos and Lewis have pushed the frontier of economic history into the history of Natives in the New World. This issue of Natives in North America is one of those topics that irritates me to no end as an economic historian. A large share of the debates on economic growth in the New World have been centered on the idea that there was either some modest growth (less than 0.5% per year in per capita income) or no growth at all (which is still a strong testimonial given that the population exploded). But all that attention centres on comparing “whites” (and slaves) in the New World with everyone in the Old World. In the first decades of the colonies of Canada and the United States, aboriginals clearly outnumbered the new settlers (in Canada, the native population around 1736 was estimated at roughly 20,000 which was slightly less than the population of Quebec – the largest colony). Excluding aboriginals, who comprised such a large share of the population, at the starting point will indubitably affect the path of growth measured thereafter. My “gut feeling” is that anyone who includes natives in GDP accounting will lower the starting point dramatically. That will increase the rate of long-term growth. Additionally, the output that aboriginals provided was non-negligible and probably grew more rapidly than their population (the rising volume of furs exported was much greater than their population growth). This is why Carlos and Lewis’s work is so interesting: because it is essentially the first to assemble economic continuous time series regarding trade between trappers and traders, the beaver population, property rights and living standards of natives. From their work, all that is needed is a few key defensible assumptions in order to include natives inside estimates of living standards. From there, I would not be surprised that most estimates of growth in the North American colonies would be significantly altered and the income levels relative to Europe would also be altered.
- Floud, Roderick, Robert W. Fogel, Bernard Harris, and Sok Chul Hong. The changing body: Health, nutrition, and human development in the western world since 1700. Cambridge University Press, 2011.
This book is in the list because it is a broad overview of the anthropometric history that has arisen since the 1980s as a result of the work of Robert Fogel. I put this book in the list because the use of anthropometric data allows us to study the multiple facets of living standards. For long, I have been annoyed at the idea of this unidimensional concept of “living standards” often portrayed in the general public (which I am willing to forgive) and the economics profession (which is unforgivable). In life, everything is a trade-off. A peasant who left the countryside in the 19th century to get higher wages in a city manufacture estimated that the disamenities of the cities were not sufficient to offset wage gains (see notably Jeffrey Williamson’s Coping with City Growth during the British Industrial Revolution on this). For example, cities tended to have higher food prices than rural areas (the advantage of cities was that there were services no one in the countryside could obtain). Cities were also more prone to epidemics and pollution implied health costs. Taken together, these factors could show up in the biological standard of living, notably on heights. This is known as the “Antebellum puzzle” where the mean heights of individuals in America (and other countries like Canada) fell while there was real income and wage growth. The “Antebellum puzzle” that was unveiled by the work of Fogel and those who followed in his wake represents the image that living standards are not unidimensional. Human development is about more than incomes. Human development is about agency and the ability to choose a path for a better and more satisfying life. However, with agency comes opportunity costs. A choice implies that another path was renounced. In the measurement of living standards, we should never forget the path that was abandoned. Peasants abandoned lower rates of infant mortality, lower overall rates of mortality, the lower levels of crowding and pollution, the lower food prices and the lower crime rates of the countryside in favor of the greater diversity of goods and services, the higher wages, the thicker job market, the less physically demanding jobs and the more secure source of income (although precarious, this was better than the volatile outcomes in farming). This was their trade-off and this is what the anthropometric literature has allowed us to glean. For this alone, this is probably the greatest contribution in the field of economic history of the last decades.
- De Vries, Jan. The industrious revolution: consumer behavior and the household economy, 1650 to the present. Cambridge University Press, 2008.
Was there an industrious revolution before the industrial revolution? More precisely, did people increase their labour supply during the 17th and 18th centuries which lead to output growth? In proposing this question, de Vries provided a theoretical bridge of major significance between the observations of wage behavior and incomes in Europe during the modern era. For example, while wages seemed to be stagnating, incomes seemed to be increasing (in the case of England as Broadberry et al. indicated). The only explanation is that workers increased their labor supply? Why would they do that? What happened that caused them to increase the amount of labor they were willing to supply? The arrival of new goods (sugar, tobacco etc.) caused them to change their willingness to work. This is a strong illustration of how preferences can change more or less rapidly (when new opportunities are unveiled). In fact, Mark Koyama (who blogs here) managed to insert this narrative inside a very simple restatement of Gary Becker’s model of time use. Either you have leisure that is cheap but time-consuming (think of leisure in the late middle ages) or leisure that is more expensive but does not consume too much time (think the consumption of tea, sugar and tobacco). Imagine you only have the time-expensive leisure which you value at level X. Now, imagine that the sugar and tea arrive and, although you pay a higher price, it provides more utility than the X level and it takes less time. In such a context, you will likely change your preferences between leisure and work. I am grossly oversimplifying Mark’s point here, but the idea is that the industrious revolution argument advanced by de Vries can easily fit inside a simple neoclassical outlook. On top of solving many puzzles, it also shows that one does not need to engage in some fanciful flight of Marxian theory (I prefer Marxian to Marxist because it is one typo away from being Martian which would adequately summarize my view of Marxism as a social theory). If it fits inside the simpler model, then you don’t need the rest. De Vries does just that.
- Anderson, Terry Lee, and Peter Jensen Hill. The not so wild, wild west: Property rights on the frontier. Stanford University Press, 2004.
Governance is not the same as government (in fact, they can be mutually exclusive). In recent years, I have been heavily influenced by Elinor Ostrom’s work on how communities govern the commons in very subtle (but elaborate) ways without the use of coercion. These institutional arrangements are hard to simplify into one variable for a regression, but they are theoretically simple to explain: people respond to incentives. Ostrom’s entire work shows that people on the front line of problems generally have the best incentives to get the right solution because they have skin in the game. What her work shows is that individuals govern themselves (see also Mike Munger’s Choosing in Groups) by generating micro-institutions that allow exchanges to continue. Terry Anderson and Peter Hill provide the best illustration in economic history in that regard by studying the frontier of the American west. Settlers moved to the American West faster than the reach of government and the frontier was thus an area more or less void of government action. So, how did people police themselves? Was it the wild west? No, it was not. Private security firms provided most of the policing, mining clubs established property rights without the need for government, farmers established constitutions in voluntary associations that they formed and many “public goods” were provided privately. The point of Anderson and Hill is that governance did exist on the frontier in a way that demonstrates the ability of voluntary actions (as opposed to coercive government actions) to generate sustainable and efficient solutions. The book has a rich theoretical framework on top of a substantial body of evidence regarding the emergence of institutions. Any good economic historian should own and read this book.
- Vedder, Richard K., and Lowell E. Gallaway. Out of work: unemployment and government in twentieth-century America. NYU Press and Independent Institute, 1997.
The last book on the list is an underground classic for me. Richard Vedder and Lowell Gallaway are very good economic historians. It was produced like many other underappreciated classics (like Higgs’s Crisis and Leviathan) by the Independent Institute (see their great book list here). Most of their output was produced from the 1960s to the 1980s. However, as the 1990s came, they moved towards the Austrian school of Economics. With them, they brought a strong econometric knowledge – a rarity among Austrian scholars. They attempted one of the first (well-regarded) econometric studies that relied on Austrian theory of the labor-market (a mixture of New Classical Theory with Austrian Theory). Their goal was to explain variations in unemployment in the United States by variations in “adjusted real wages” (i.e. unit labor costs) all else being equal. At the time of the publication, they used very advanced econometric techniques. The book was well received and even caught the attention of Brad DeLong who disagreed with it and debated Vedder and Gallaway in the pages of Critical Review. Although there are pieces that I disagree with, the book has mostly withstood the test of time. The core insights of Out of Work regarding the Great Depression (and many of its horrible policies like the National Industrial Recovery Act) have been conserved by many like Scott Sumner in his Midas Paradox and they feature prominently in the works of scholars like Lee Ohanian, Harold Cole, Jason Taylor, Price Fishback, Albrecht Ristchl and others. In the foreword to the book, they mention that D.N. McCloskey (then the editor of the Journal of Economic History) had pushed hard for them to publish their work regarding the 1920s and 1930s. McCloskey was right to do so as many of their contentions are now accepted as a legitimate (if still debated) viewpoint. The insights regarding the “Great Depression of 1946” (a pun to ridicule the idea that the postwar reduction in government expenditures led to a massive reduction in incomes) have been generally conserved by Robert Higgs in his Journal of Economic History article I mentioned yesterday (and in this article as well) and even by Alexander Field in his Great Leap Forward. However, Out of Work remains an underground classic that is filled with substantial pieces of information and data that remains unused. There are numerous unexploited insights (some of which Vedder and Gallaway have followed on) as well. The book should be mandatory reading for any economic historian.
In the course of the twitterminar on the High-Wage Economy argument (HWE) which generated responses from John Styles on his blog (who has convinced me that the key solution to HWE rests in Normandy, not the Alsace) and many other on Twitter. In the course of that discussion, I skirted a point I have been meaning to make for a long time. However, I decided to avoid it because it is tangentially related to the HWE story. Its about how we measure living standards over space in the past.
Basically, the HWE story is a productivity story and all that matters in such a story is wage rates relative to other input prices. Because we’re talking about relatives, the importance of proper deflators is not that crucial. However, when you move beyond HWE and try to ask the question regarding absolute differences over space in living standards, the wage rates are not sufficient and proper deflators are needed.
They are many key issues to estimating living standards across space. The largest is that given that very few goods crossed borders in the past, converting American incomes into British sterling units using reported exchange rates would be rife with errors and calculating purchasing power parities would be complicated. The solution, very simple and elegant by its simplicity, is to rely on the logic of the poverty measures. Regardless of where you are, there is a poverty threshold. Then, all that is needed is to express incomes as the ratio of income to the poverty line. If the figure is three, then the average income buys three times the poverty line. Expressed as such, comparisons are easy to do. This is what Robert Allen did and it was basically a deeper and more complete approach than Fernand Braudel’s “Grain-Wages” (wage rates divided by grain prices).
Where should the line be?
While this represents a substantial improvement for economic historians like me who are deeply interested in “getting the data right”, there are flaws. In the course of my dissertation on living standards in Canada (see also my working papers here and here), I saw one such flaw in the form of how long the length of the work year was. In fact, a lot of my comments in this post were learned on the basis of Canada as an extreme outlier in terms of sensitivity. In Canada, winter is basically a huge preindustrial limitation on the ability to work year-round (thus, the expression mon pays ce n’est pas un pays, c’est l’hiver). But this flaw is only the tip of the iceberg. First of all, the winter means that the daily energy intake must substantially greater than 2,500 calories in order to maintain body mass. The mechanism through which the temperature increases the energy requirements of the human metabolism is in part the greater weight carried by the heavier clothing in addition to the energy needed by the body to maintain body temperature. At higher altitudes, these are compounded by the difference in air pressure.In their attempt to construct estimates of the living standards of Natives in the Canadian north during the fur trade era, Ann Carlos and Frank Lewis assert that it is necessary to adjust the basket of comparison to include more calories for the natives given the climate – they assert that 3500 calories were needed rather 2500 calories for English workers.In Russia, Boris Mironov estimated that the average calories ingested stood at 2952 per day between 1865 and 1915 while the adult male had to consume 3204 calories per day. In Canada in the 18th century, it was estimated that patients at the Augustines hospital in Quebec City required somewhere 2628 calories and 3504 calories per day while soldiers consumed on average 2958 calories per day and the average population consumed 2845 calories per day (see my papers linked up above). The range of calorie requirements for soldiers (which I took from a reference inside my little sister’s military stuff) is quite large: from 3,100 in the desert at 33 degrees Celsius to 4,900 in artic conditions (minus 34 degrees Celsius) – a 58% difference. So basically, when we create welfare ratios for someone in, say, Mexico, the calories needed in the basket should be lower than in the Canadian basket.
Another issue, of greater importance, is the role of fuel. In the welfare ratios commonly used, fuel is alloted at 2MBTU for the basic level of sustenance which. This is woefully insufficient even in moderately warm countries, let alone Canada. My estimates of fuel consumption in Canada is that the worst case hovers around 20MBTU (ten times above the assumption) if the most inefficient form of combustion (important losses) and the worst kind of wood possible (red pine). Similar levels are observed for the American colonies.
Combined together, these corrections suggest that the Canadian poverty threshold should be higher than the one observed in France, England, South Carolina or Argentina. These adjustments can more or less be easily made by using military manuals. The army measures the basic calories requirements for all types of military theaters.
How to factor in family size and use equivalence scales.
Equivalence scales refer to the role of family size. Given the same income, families of different size will have different levels of welfare. Thanks to economies of scale in housing, cooking, lighting and heating, larger households can get more utility out of one dollar of income. That adjustments are required to render different households comparable is well accepted amongst economists. However, given the sensitivity of any analysis to the assumptions underlying any adjustments, there is an important debate to be had.
The convention among economic historians has been to assume that households have three adult equivalents. This assumption has gone largely undiscussed. The problem is “which scale to use”. The conversion into adult equivalents is subject to debates. Broadly speaking, three approaches exist. The first uses the square root of the number of individuals. The second attributes the full weight of the first adult, half the weight of the second adult and 30% for each child. This approach is commonly used by the OECD, Statistics Canada and numerous government agencies in Canada The third approach is the one used by the National Academy of Sciences in the United States which proposed to use an exponent ranging between 0.65 and 0.75 to household size but only after having multiplied the number of children by 0.7. As a result, a family of four (two parents, two infants) can have either 2 adult equivalents (square root), 2.1 adult equivalents (OECD and Statistics Canada approach) or 2.36 adult equivalent (NAS approach). The differences relative to the square roots approach are 5% and 18%. If we move to a family of 6 persons, the differences increase to 10.22% and 34.72%. If we are comparing regions with identical family structures, this would not be a problem. If not, then it is an issue. The selection of one method over another would have important effect on the cost of the living basket, with the NAS approach showing the costliest basket. Using a method relatively close to that of the OECD (although not exactly that measure), Eric Schneider found that the relatively small size of families in England led Allen to underestimate living standards. In a more recent paper, Allen alongside Schneider and Murphy pointed out that extending Schneider’s analysis to Latin America where “family sizes were likely larger (…) than in England and British North America” would amplify the wage gap between the two regions.
The table above shows how much family size varied around the late 17th century across region. Clearly, this is a non-negligible issue.
Sensitivity of estimates
Just to see how much these points matter, let’s modify for two easily modifiable factors: household size (given the numbers above) and fuel requirements (calories from food are harder to adjust for and I am still in the process of doing that). Let’s recompute the welfare ratios (those classified as bare bones) of Canada (the outlier) relative to the other according to different changes circa the end of the 17th century. How much does it matter?
Comparing New World places like Canada and Boston does not change much – they are more or less similar (family size and relative price-wise). However, just adjusting for family size eliminates a quarter of the gap between Canada and Paris (from 61% to somewhere 43.9% and 49.5%). Then, the adjustment for the fact that it is freezing cold in Canada eliminates a little more than half the advantage Canada enjoyed. So roughly two third of the Canadian advantage over Paris (the richest place in France) is eliminated by adjusting for family size and fuel consumption without adjusting for food requirements. However, family size does not affect dramatically the comparison between Paris and London (regardless of whether we use the Allen figures or the Stephenson-Adjusted figures). Thus, most of the sensitivity issues are related to comparing the New World with the Old World.
Still, there are some appreciable differences from family structures within Europe (i.e. the Old World) that may alter the relative positions. For example, Ireland had much larger families than England in the 18th century (see here – the authors shared their dataset with me and a co-author): in 1700, England & Wales had an average household size of 4.7 compared with 5.32 in Ireland. That would moderately disrupt the comparison. Not as much as comparison between the New World and Old World, but enough to make cautious about European differences.
I have seen many discussions regarding the sensitivity of welfare ratios in numerous papers. I am not attempting to make my present point into some form of revolutionary issue. However, all the sensitivity estimates were concentrated on a case or another and they all concern a specific problem. No one has gathered all the problems in one place and provided a “range of estimates”. Maybe its time to go in that direction so that we know which place was poor and which was not (relative to one another, since anything preindustrial was basically dirt-poor by our modern standards).
The WSJ of 7/9/15 shows a comparative table for some European Union countries of spending on pensions as a share of GDP. This comparison denotes roughly the drag effect that payments to retirees has on the whole national economy. To no one’s surprise, Greece tops the list with 14.4%. Germany is at 9.1%. This may seem like a small difference but when it’s turned into actual, absolute figures, the difference becomes downright striking. They scream!
The 5.3 percentage points difference can be applied to both countries’ GDPs (or GDPs per capita, same thing in this case). The International Monetary Fund gives Germany’s GDP per capita for 2014 at about $46,000 and Greece’s at about $26,000*. Pensions cost Germany $4,150 annually for each man, woman and child. Pensions cost Greece $3,400 annually for each Greek. It does not look like the Greeks should be able to afford this kind of disproportionate burden.
Suppose Greece’s pensions took the same bite out of its GDP as Germany ‘s does out of its GDP, 9.1% . In this scenario, today, the Greek economy would have about $1,400 each year unspoken for for each man, woman and child. This money would still be available for spending, as it is through pensions. It would also, however, be available for both public and private investment. That’s $1,400 each year; that’s a lot by any standard. That’s money needed to rejuvenate the Greek aging economic plant.
How realistic would such a change be, involving raising the legal age of retirement, I mean? The Germans’ and the Greeks’ life expectancies are virtually identical ( 80.44 vs 80.30, in CIA Handbook). There seems to be a little wiggle room to move there. Note that raising the age at which people can claim a pension is doubly beneficial: It reduces the number of pensioners while raising the number of workers who support the pensioners. Some will argue that raising the age of retirement is a pipe-dream in a country such as Greece where there is chronically high unemployment. I think this reasoning is wrong. Many Greeks don’t find a job because investment in Greece is insufficient. People need tools to work. What is certain is that the current dishonest Greek government policies, soundly supported by the exercise of a majority of Greeks’ votes cast, are not going to draw foreign investment. The money to improve both Greeks’ chances of employment and their productivity will have to come from within. One significant source is described above: Close the pension option for one or more years to healthy Greeks. It will provide both ready investment money and confidence abroad.
Note that raising the legal age of retirement is a purely political decision. The Greeks can do it any time they want. They can do it overnight. Perhaps, there will soon arise a political party in Greece that will proclaim the truth: It’s not the mean lenders, it’s us!
This is a fairly simplistic reasoning, I know. The general age of the population places constraints on the practicality of raising the age of legal retirement (but an older population also makes it more desirable; think it through). I have heard leftist demagogues on National Public Radio argue that the big bite that pensions take out of the Greek economy is not the Greeks’ fault, that it results more or less directly from the fact that Greece has an old population. Sounds good but the fact is that the Germans are, on the average, quite a bit older than the Greeks (Median age of 46.5 vs 43.5 according to Wikipedia.) Don’t believe experts on NPR, not even on simple facts!
Alternatively, the Greeks could begin collecting their moderate taxes like the Germans instead of like the Italians. They might also remember that “catastrophe” is a Greek word.
* The figures are “PPP” meaning that they take differences in buying power in the two countries into account.
I just returned yesterday from a week in Athens for an academic conference. There seemed to be a big socio-economic divide in voting intentions. The unemployed and menial workers were definite No votes. The Yes votes were physicians and a few academics. Personally I think they should bag the euro and go back to the drachma.
Brandon: how long do you think it will be before Putin is making deals in Athens? Might be nice to have a friend in the EU when sanctions come up again. Port privileges for the Russian navy would be very conveniently located as well.
Jacques has a good, thoughtful response (“Leaving the Euro zone does not require leaving the European Union”) that I wholeheartedly agree with (and that I’ve blogged about here and here), and it appears Dr Amburgey is in agreement with us (though does he think Greece should stay in the EU?). Contra Dr Foldvary, I do not think there is any need for Greece to leave the EU. If anything, the EU should be adding more states, though not expanding its geographic space.
Regarding Russia, I simply don’t know. Russia – along with Turkey, Iran, and China – is a society that is very hard to understand let alone predict (I would add India/Pakistan to this list, but the states of the Indian subcontinent are traditional post-colonial states and are therefore much easier to predict; the other four were never conquered or carved up by imperial cartographers). The whole Crimea debacle still has me smarting. Nevertheless I’ll add my thoughts to the conversation.
I don’t think Athens will grow closer to Moscow. There are two major reasons:
- Greece fears Russia, which is why Athens has remained in NATO for so long.
- Most Greeks – even the ‘No’ voters in this recent referendum – don’t want to leave the EU; Greeks overwhelmingly want to be a part of ‘Europe’.
There are couple of minor reasons, too, though I don’t know how minor they are. 1) Greece is not Ukraine. 2) Russia’s economy is in shambles. Greeks have a higher standard of living than do Russians.
On the flip side, the Greeks are always thinking about the Turks. If an opportunity presents itself (though I cannot think of any arising), Athens may start to edge closer to Russia (a traditional enemy of Turkey) if it thinks Ankara is getting antsy about its former province. This is pretty extreme, though. Also, Russia’s economy may be in shambles, but it seems like Moscow always has plenty of money for military expenditures, and rent stemming from a Russian port in the Mediterranean Sea might be too tasty to resist for a country saddled with so much debt.
At this point I don’t think Greece has much clout in European politics, so I don’t see Moscow viewing Athens as a reliable friend in Brussels.
The countries I’ve filled in were about half of the OECD. The data is hard to get on administrative units elsewhere in the world (I got my data from the OECD website), but it was also hard to get for OECD states. The reason it was hard is because OECD data collectors divide up administrative units into two separate categories (TL2 and TL3) that sometimes correlate to traditional administrative units (such as California or New South Wales) and are sometimes arbitrary creations of EU or OECD bureaucrats designed specifically for data collection (rather than for understanding the historical trajectory of regions within a state).
Does this make sense?
To make matters worse, sometimes the TL2 category correlated with an actual administrative unit with political representation in a capital, and sometimes the TL3 category was the actual administrative unit with political representation. So I had to thumb through the nitty-gritty details of how OECD states send representatives to central parliaments and then match those real-life details to the data collectors TL2 and TL3 categories.
Does this make sense?
The map above highlights the US, Canada, Australia, Germany, France, the UK, Spain, Poland, Austria, Italy, Czech Republic, Chile,
Denmark, and Mexico. These countries are all TL2 states.* I have no idea what that is supposed to mean for data collectors, but it means to dorks like me that their TL2 categories send political representatives to capital cities, whereas their TL3 categories likely send political representatives to regional capitals.
Does this make sense?
I have continued entering the data that the OECD has provided for the GDP (PPP) per capita of TL3 units (which send political representatives to capital cities), but the map I downloaded does not outline TL3 units (it only outlines TL2 units). So unless I want to spend time carving out TL3 units onto a TL2 map I am going to have to stop filling out the map. I’m all for collaboration on this, of course.
Here is the table I have (very slowly) been working on, but when I colored in the map above (the TL2 states), I divided them up into six groups based on highest GDP (PPP) per capita to lowest. The richest administrative units were purple, followed by blue, followed by green, followed by yellow, followed by orange, followed by red. So: purple is rich, red is poor. Got it? Because I started adding the TL3 states to the table, and because the map doesn’t allow for me to add the TL3 states to it, I forgot the range of the colored TL2 units. Dividing them up into six groups is a pretty easy task, though, so you should just trust my coloring scheme.
The map I created doesn’t have a very good zoom-in function, but what I found interesting is that Europe has a lot more economic inequality than the US, Canada, and Australia. Look at France. It’s mostly yellow, and the only purple (rich) administrative unit is Paris metro. This suggests, of course, that wealth in France is concentrated in the capital. The UK looks just like France (as does Spain). Germany is divided in half (as is Italy), and Austria and Denmark are cool, rich colors. Canada and Australia only have one yellow province each, and the US has none. Mexico looks just as Michelangelo described it, and Chile looks like Spain.
This is the OECD page I’ve been using. Here’s how I find regional GDP (PPP) per capita:
- select “Regions and Cities”
- select “Large (TL2) and Small (TL3) regions” – remember it’s either/or here: either TL2 or TL3 but not both
- select “regional GDP per capita”
- Then for measures (top of table) select “per head, current prices, current PPP”
I’ve been using 2011.
This pdf lists the “territorial grids” (TL2 and TL3 regions) of the OECD. The pdf didn’t help me figure out which regions send political representatives to capital cities and which are arbitrary, bureaucratic creations (I got to do that on my own!), but lists can definitely be helpful. In many cases I was able to figure out which units are politically viable and which are arbitrary for data collecting purposes just by looking at the list.
Finally, here is a map – courtesy of kelsocartography.com – of the world’s administrative units, at the TL2 level. Lots of work to do.
I like using the GDP (PPP) per capita of administrative units because I think it gives a much more stark picture of life around the world. I have pointed out before that the UK is now poorer than Mississippi, but breaking down the UK in the same manner as we do the US reveals that not only is the UK poorer than the poorest US state, the purchasing power parity of British citizens within the UK looks a lot more unequal than what we see in the United States. What is going on in the UK? The NHS can’t be that bad.
* – Oops, except for Denmark (it’s TL3)
UPDATED (3/11/2015): Continue reading
I’ve known about the relative poverty of Western Europe compared to the United States for quite some time now, but it’s always nice to see this little tidbit get some love in the national and international press. Fraser Nelson, a journalist at the Spectator (in the UK) gives us the run-down on the numbers. According to Nelson, the UK is poorer than any US state save for Mississippi. Over at Forbes, Tim Worstall points out that the UK is actually poorer than Mississippi, too. Poor Mississippi!
Both men are calculating wealth with GDP (PPP) per capita, which is what I use as well. GDP (PPP) per capita means Gross Domestic Product (Purchasing Power Parity) per capita. Worstall explains how and why social scientists like using GDP (PPP) per capita to gauge a society’s standard of living:
Just to explain PPP for you. Prices vary across places. In the US food is generally cheaper than it is in Europe, medical care generally more expensive. So what we try to do with PPP is work out what exchange rates would need to be in order to make prices of all of these different things the same in the different places. It’s not an exact science, more of an art. But if what you’re trying to measure is living standards then it’s somewhere between useful and essential as a part of your workings.
It isn’t just the UK that is poorer than the poorest US state, either. Economist Mark Perry did these same calculations using 2010 data back in 2011 and pointed out that only Luxembourg and Norway would be in the Top 30 states were Western Europe and the United States to meld into one federal republic. The rest of Western Europe is on par with the living standards of the American South (which is considered to be the poor, culturally backwards region of the US). Be sure to check out Perry’s 2010 data and compare it to Worstall’s and Nelson’s 2013 data, too.
Careful readers will notice extremely small differences in the calculated purchasing power parity of all three authors (the IMF’s is also a little different), but each data gives us a similar approximation for standards of living in each country and each US state. Suffice it to say here a political union between the United States and the wealthy countries of Western Europe would significantly diminish the GDP (PPP) per capita of the US overall. A political merger with Japan, South Korea, and Mexico would also diminish the overall purchasing power parity of the average US citizen. Canada might (might) make the Top 40 for US states (somewhere between Michigan and Ohio – states of the Rust Belt).
Now, if I had my way, the calculation standards for non-US countries would be the same as they are for US states. That is to say, I think a better way of measuring standards of living would be to break up the countries I’ve mentioned and measure the GDP (PPP) per capita of the administrative units that operate just below the national governments of these states. So, for example, instead of measuring the GDP (PPP) per capita of the Netherlands, I’d measure the GDP (PPP) per capita of the 12 provinces that make up the Netherlands.
Then, in my libertarian utopia, the 50 US states would join together politically with the various administrative units of Western Europe, Canada, Mexico, Japan, and South Korea. Instead of 50 administrative units (the US states) there would be hundreds, maybe even thousands, of them. Talk about decentralization!
Given that a political (and therefore economic and social) merger between Western Europe, the NAFTA states, and Japan-South Korea would diminish my PPP, why should I support such a proposal?
Update 8/30: Some commentators on Facebook have been clamoring for a map, and I found a great website that has devoted lots of time to creating maps based solely on administrative units. The name of the site is Kelso’s Corner and they have a great blog post on the “Natural Earth Vector,” which is the project that maps out administrative units.
It doesn’t have detailed maps of the Anglo-Saxon world or Mexico (presumably because these are so well known), but I found a couple of great maps of Western Europe and Southeast Asia.
Imagine if all of these units were to send representatives and senators to Washington (or a new geographic equivalent): Decentralized political power and integrated markets and cultures would be the new norm for much of the world in a political system based on Madison’s federal republic. I reckon that, in a libertarian utopia, the world would look like this map and be united under Madison’s minarchist federal government:
I understand that my utopia is not much of a utopia (people will still die and there will be plenty of conflict), but I think this is actually a strength rather than a weakness.