Epstein Secrets

ma and others. Throughout this paper comparisons are made to the work of Ian Wright who describes simulated economic models in two notable papers [Wright 2005, 2009]. Wright's models are significantly different to my own, most notably in not involving a financial sector. Also, unlike the present pape

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

n the company model to prevent the introduction of severe cycling in the model output. Directly comparing my own macroeconomic models with those of Wright is not straightforward. My own models include a financial sector which is clearly more realistic, as Wright acknowledges in the Social Architecture

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

ution becomes possible. Moving to a different issue, an element that is missing from this model, and indeed all my models, is that of unemployment. Wright's models are superior in this regard, and may shed light on this dynamic. Equation (4.7e), and a Maxwell-Boltzmann distribution, especially an offs

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