PONTIFICIAE ACADEMIAE SCIENTIARVM SCRIPTA VARIA
count, and their effect on the broad pattern of consumption is
not very noticeable; but in accounting for the detailed pattern
they may well be important. In such cases it may be useful
to follow a hierarchical principle. Thus we might start by
estimating how, in given circumstances, total consumption
would be divided among its main constituents, namely food,
clothing, household expenses etc. We might then try to
estimate how the expenditure on each of these groups would
be divided among the group’s components and what specific
influences, if any, might affect each component. And so on.
As we got into greater and greater detail, however, we should
expect any manageable system of demand relationships to
break down. At this point we should have reached a position
where our demand model was no longer specific enough and
where, accordingly, we needed outside help, as in the case
of the input-output relationships discussed above.
What I have just said brings out the fact that with the
information at our disposal there is a limit to the amount of
detail we can handle. It is sometimes argued that if only we
could increase the size of our models we should get correspond-
ingly better results. I do not think this is true. If, for example,
we were to multiply the number of industries we distinguish,
and were to represent each industry in the detail necessary to
operate it, we should have to make the relationships of our
model altogether more sophisticated. In practice we could not
do this. I suggest therefore that the proper way to introduce
great detail into a model of the economy is not to expand that
model beyond a certain point, but to set up separate sub-
models for different industries, related to the general model
but established and operated by the industries themselves with
all the expert knowledge that this would make possible. The
final outcome would result from an iteration between the general
model and the industry models, somewhat on the following
lines. The general model would indicate the output levels re-
quired and the distribution of these outputs over uses. The
[1] Stone - pag. 14