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[OPE-L] measuring causes



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At 08:53 15/12/2005, Paul C wrote:
Howard Engelskirchen wrote:
  How do you form a conception of
'weak' without a ranking of priorities?

I would suggest that there can be several ways in which it is valid to
rank causes

Consider the example of a fall in the rate of profit. One can quantiatively
break down a fall in the rate of profit between two years into contributions
from:

a. The change in the organic composition of capital
b. The fall or rise in the rate of surplus value
c. Changes in the distribution of surplus value between profit and rent
for example.

One is then in a possition to say for example that the change in the
rate of profit
was 70% caused by a fall in the rate of surplus value, 20% by a rise in
organic
composition and 10% by a shift from profit to rent.

Here the weightings allocated to different causal factors are relatively
unambiguous and simple to determine.

Hi Paul, This is a great opportunity for a systems-illiterate person like me to get an answer from a specialist. Assume that we have what Marx called a 'structure of society, in which all relations coexist simultaneously and support one another.' If you have a system with substantial interaction, feedback, etc (eg. change in X produces change in Y which produces change in Z which produces change in A which produces major change in Y), then how can we reason from the quantitative results of change to the weight to be assigned to causes? The unambiguous results you suggest would certainly be true if we assume no interaction effects (ie., that we can assign weights to factor A and to factor B but the value of AB approaches zero), but then the conclusion is embodied in the assumption. On the other hand, how can we come to a weighting of causes from the empirical results? in solidarity, michael Michael A. Lebowitz Professor Emeritus Economics Department Simon Fraser University Burnaby, B.C., Canada V5A 1S6

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