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> > F&M argue that > > market power, collusion, etc. undoubtedly reduce the number of degrees of > > freedom in the system (increase the amount of co-ordination among agents), > > but in practice not by enough to significantly reduce the number of > degrees > > of freedom. > > I would appreciate a bit of an account of what is 'enough', 'not enough' and > 'significant' here. I would say that F&M's argument starts to operate once the system has a few tens of degrees of freedom. Perhaps Julian and Allin might have some estimate here. At the scale at which one can test the hypotheses readily, i/o tables with a scale of about 100 industries, the price/labour ratio does apear to have the statistical properties that they predict. By the time you reach this scale we are clearly in the stochastic rather than deterministic domain. At the scale of 3 industries at which Steedman works, the number of degrees of freedom are too small for stochastic effects to operate. Somewhere in between I reckon there will be a phase change. I am speaking from memory here, but if I recall correctly Steedman published some empirical work on the economy of the Australian state of Victoria in the Cambridge Journal a couple of years back where the scale of the I/O tables was somewhat smaller than those used in most of the literature. He obtained results that were somewhat out of line from those found in the rest of the literature. It is possible that the smaller sample of industries used meant that stochastic effects were weaker at the scale he worked.
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