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city. However, while a few contractors (including GM Hughes, Grumman, and McDonnell Douglas) have div
figures 1.1.1-3 above. This data suggests that a Maxwell-Boltzmann distribution also provides a very good
rprising, as it is known that the log- normal and the Maxwell-Boltzmann have exponential tails, and so are not
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
e should fit together in this way, and in fact it wasn't until many years later that the equation was independently explained at an atomic level by Maxwell and Boltzmann. Thirdly, the equations do not refer to underlying microscopic mechanisms or variables. In equation (4.7a) there are no references to
l regularity and predictability in the aggregate. The Maxwell-Boltzmann-Gibbs methods of statistical mechanics
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
ssipative structure approach, presumably there is a negentropy flow associated with 'maintaining' the dissipative structure in its low entropy form; Maxwell's demon is continually at work narrowing the spread of the distribution. However if this negentropy flow is smaller than the entropy flow through t
distribution [Levy & Solomon 1996]. In contrast the Maxwell-Boltzmann distribution of a normal thermodynamic
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
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