Epstein Secrets

on of the national income shares in the US, noting that the overall share is constant even though sector shares show long-term changes [Young 2010]. Gollin gives a very thorough survey of income shares in more than forty countries [Gollin 2002]. Figure 1.3.8 here [St Louis Fed 2004] We will come back

he details of income and wealth distributions have rarely been studied in mainstream theoretical economics, a notable and important exception being Champernowne. Champernowne was a highly gifted mathematician who was diverted into economics, he was the first person to bring a statistical mechanical approach

ee-quarters and can be very stable, as discussed in section 1.3 above. Young gives a good discussion of the national income shares in the US, while Gollin gives a very thorough survey of income shares in more than forty countries [Young 2010, Gollin 2002]. In emerging economies 13 can be much lower, a

ater in economics, this area has attracted physicists and statistical mathematicians and engineers in significant numbers since at least the work of Champernowne. The reason is simple; to a statistical physicist, economics is obviously a multi-body phenomenon. It is messy. There are millions of agents in a t

FT 2011b FT/M 2010 Gabaix 2009 Gaffeo et al 2003 Gallegati et al 2006 gapminder Georgescu-Roegen 1971 Georgia Tech 2010 Glazer & Wark 2001 Gollin 2002 Gould & Tobochnik 2010 Goyenko et al 2009 Griffiths & Tenenbaum 2006 Guardian 2010 Harrison 2005 Harvie 2000 Hayek 1931 Hess & Holzhau

lots of boundary conditions, may be simple enough to be tractable to a traditional statistical mechanical analysis on the lines of Dewar, or indeed Champernowne. Before moving into further discussion I would first like to follow the maths through a little more. I would like to do two things. Firstly I would