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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
mon sense notion that stock-market returns are more appropriate than interest rates for 'r'.) As discussed above, intuitively it is not obvious why Bowley's law holds and the ratios of returns to capital are not much higher than the returns to labour. Using the basic ideas of classical economics we wo
the last two hundred years. Neoclassical ideas of utility and marginality have no theory to explain this. What equation (4.5a) says clearly is that Bowley's ratio will always be less than one, and given that rates of return are generally much lower than consumption rates, the value will be closer to o
sive bubbles just from the basic pricing system of capitalism. There is finally one important thing worth noting about the models. The value of the Bowley ratios, (3, for the first four models were as follows: Figure 4.3.7 13 Model 4A 0.75 (exactly) Model 46 0.92 Model 4C 0.78 Model 4D 0.85 T
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
lin 2002]. Figure 1.3.8 here [St Louis Fed 2004] We will come back to Bowley's Law in some depth in sections 1.6 and 4.5-4.8 as it turns out that Bowley's law is of some importance. Because of this importance, it is useful to define some ratios. We already have: Profit rate r = Tr W (1.3r) Where
enerates endogenous boom and bust business cycles of the sort described by Minsky and Austrian economists. From this model an exact formula for the Bowley ratio; the ratio of returns to labour to total returns, is derived. This formula is also derived trivially algebraically. This derivation is extend
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
(1-r/Q) gave us our definition of ce. the exponent of the powertail, included in equation (4.5q). Equation (7.4f) itself is just a restatement of Bowley's law as defined in section 4.5 of this paper. These relations imply that the suggested approach in this section may have promise. A second observa
mple, in 2005 and 2006 the stock market was booming, with very high liquidity, even though the economy as a whole was struggling (as expected in the Bowley squared predator-prey model of section 4.9). In such circumstances, central bankers face acute problems. With the single tool of interest rates, g
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