Anglosphere Costs and Inequality (PedestrianObservations)

After my last post detailing how high American subway construction costs cannot be attributed to high incomes, people in comments were talking about inequality instead. Matt was talking about lack of union power, calling high US and UK costs “social democracy by stealth,” and Michael James was talking about political elite elements of inequality including domination by Ivy League and Oxbridge graduates with their old boy networks. Just as the story that high US costs are about wealth does not stand up to closer scrutiny, the converse story, relating high US and UK costs to a negative exceptionalism about their inequality and class systems, is also false.

Inequality and costs

The Luxembourg Income Study has comparative data for inequality in most of the world, looking at inequality after taxes and transfers. The OECD has its own dataset, which mostly agrees with the LIS, except notably in the UK: on LIS data, the UK nowadays has similar inequality to Germany and France, after a long period of decline from post-Thatcher levels under Tony Blair and Gordon Brown, whereas on OECD data, the UK has higher inequality than nearly anywhere else in Europe, and is slightly more unequal than halfway between Germany and the US.

But regardless, among the countries and macro-regions that build a lot of subways, the highest inequality is in India and Latin America. India’s Gini index on LIS numbers is 0.5; Indian costs are in theory below-average, but only by virtue of high use of els, and correcting for that, its costs are high by global standards and low by Anglosphere ones. Chile, remarkable for its low costs (as explained by Eno), has a Gini index of 0.46. Much more expensive Brazil is rather similar. Next to Latin America there is China, which the LIS gives a Gini of 0.41, and which has rather average costs. Any attempt to do correlations between a country’s subway construction costs and its Gini will run into those outliers; I expect the correlation is still going to be positive because of high American inequality (0.39) and high American costs, but dropping the US it might not even be positive, let alone statistically significant.

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