Epstein Secrets

s 3.4 Commodity models Background Modelling Results Discussion - Background - Modelling - Results - Discussion 4. Minsky goes Austrian a la Goodwin — Macroeconomic Models 4.1 Macroeconomic Models - Background 4.2 Macroeconomic Models - Modelling 4.3 Macroeconomic Models - Results 4.4 Macroeco

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

cs, and chaotic systems in general, is discussed in section 6 below. As discussed above, Lotka-Volterra models have been used in Marxian analysis by Goodwin and others, though the models can be somewhat complex. The models presented above seem more efficacious than the Goodwin type Lotka-Volterra model

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

naturally from the companies model. During the modelling process I was rereading Steve Keen's 'Debunking Economics' and had also read some of the Goodwin modelling work while investigating the ratio of returns to labour and capital. It seemed to me that by combining the wealth, company and commodity m

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