The latest outputs from researchers, alumni and friends at the UCL Centre for Advanced Spatial Analysis (CASA).
A model of the global economy is, by its very nature, an unwieldy object to work with. There are 40 countries (we want more; that’s coming next) and the economy of each country is described by the economic activity of 35 sectors. Each sector in each country interacts with each other sector in each other […]
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I’ve been modelling the interconnected nature of the global economy by simulating a reduction in demand for various sectors in various countries. It’s a very simple little piece of analysis: What would happen if the demand for a given sector in a given country was reduced by a single US dollar? In answering this question […]
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Similarly to many branches of statistics-gathering, the world’s trade statistics bureaux lack, in their communication style, a certain panache. The writings of such agencies are characterised by a complete absence of zing, lightness-of-touch and joie de vivre. I’ve blogged before about horrific diagrams like that shown here, and how the whole enterprise of gathering information […]
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Networks: aren’t they great? The sexiest modelling paradigm around at the moment and there are no shortage of social science researchers itching to jump on the bandwagon. Never one to drag my heels, I blogged last week about the attempts by me and my colleagues to bring network science into Economics, and included a fancy […]
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So, like, trade data, yeah? It’s great isn’t it? All the world’s trade in tangible products, itemised by zealous customs officials, and browsable by the idle researcher, thumbing through a Who’s Who-style almanac of fascinating trade numbers, discovering little gems … Continue reading →
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