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Re: (OPE-L) Re: Hume and constraint based theories



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Hello Ajit,

Got round to replying to you. Sorry for the delay.

Ajit wrote:
You have told your model that when
one sector receives higher returns for their one-hour
of labor than the other does some people from the
other sector move from their sector to the higher
labor-remuneration sector.

It would be more accurate to say that if one sector fails to receive sufficient returns (rather than higher returns) then some people look for alternative employment, but not necessarily in the higher labour-renumeration sector. It is more like a stochastic, parallel search for gainful employment, rather than a deterministic, ordered allocation of labour. In this sense, the causality is much weaker and noisier than most mathematical models (the assumptions are weaker).

But in the real world, outside of the
computer, this may not happen. People may not have the
right information to behave that way. It may not be
easy to move from one kind of work to another, so the
inertia keeps them where they are and after some time
differential labor remuneration becomes conventional.

Of course, this is entirely possible in reality.

The point I'm trying to make is that once you let
things move on historical time then you are dealing
with infinite variables, but to theorize you need to
work with a few variables only and assume that the
other variables either have no impact on those
variables or they remain constant. But both these assumptions are
ultimately arbitrary.

I think this issue pivots on scientific method. You can think of reality as a hopeless mess of unfolding events with no necessary connection between them, or you can think of it as structured and layered, with potentially identifiable and seperable mechanisms, which interact over time to generate the appearance of mess. Reality is neither completely chaotic or ordered, but seems to be "interesting" and complex. Ultimately we may have different research programmes. Mine assumes that initial abstraction from all possible historical determinations, in order to identify underlying generative mechanisms, is emphatically not an arbitrary procedure, but an essential part of the analysis.

Thus your theory can never move on real historical time. So all
theories are abstraction from real time.

Well of course. I don't confuse the theory with reality.
But perhaps you are confusing the real with the actual.
That is confuse the (factual) succession of events
that occurs with the (transfactual) mechanisms that
generate them. Or, in older terminology, conflate
appearence and essence.

But what causes prices to move in your model?
Differential rates of profit--> movement of capital-->
changes in supply--> changes in prices toward labor
values? Let me ask you one question? What makes you
think that changes in supply will not change the
values themselves, i.e., on what grounds you think
that the methods of production is independent of gross
output?

I do not think they are independent, although my model abstracts from this determination.

If you have not implicitly assumed constant
returns to scale?

I've explicitly assumed constant returns to scale. (Non-constant returns to scale would change the dynamics, and would be an interesting case to analyse, but I'm fairly certain would not change the fix points).

What makes you think that these
changes in supply will have no impact on labor
productivities through learning by doing or some other
kinds of technical changes?

I do not think they have no impact, although I abstract from these determinations in my model.

So your model is not
necessarily running on real time. It is running on the
artificial time of your model. You can learn from it
but cannot claim to know how real world works. You
see!

No I don't see that at all. Of course all theories, whether computational, mathematical, or natural language, are distinct from the mechanisms and events they refer to. And all theories are incomplete, and do not include your "infinity" of historical variables. Does that mean we cannot make claims about how the real world works? No of course not. I wonder whether you have a Popperian predictive criteria for scientific theories, which may explain why you think it hopeless to explain the chaos in causal terms. But many scientific theories are explanatory rather than predictive, and are concerned with possibilities rather than actualities. For example, knowing it is possible that an earthquake may occur in San Francisco (rather than predicting when it will happen) allows us to build robust homes etc.

Most of economics from Adam Smith onwards
believed that there is something like 'natural prices'
or 'prices of production' around which market prices
(i.e., real daily prices) fluctuate. Garegnani and his
followers think that Sraffa's prices are also the
natural prices or the center of gravitation of market
prices. I don't.

Prices are noisy, and there a huge number of reasons for particular prices at particular times. But truly random phenomena are very rare, often there is an underlying signal, which, with work, can be detected, and help explain the apparent chaos as fluctuations about systematically determined trajectories.

As I have said, your dynamic theory runs on an artificial time not real
time. Sometimes it may give a good forecast about certain variables and
sometimes it may not.

The computational model of a simple commodity economy that I developed is not suitable to make any economic forecasts whatsoever, and I would be stupid to use it in that way. Again, perhaps you are thinking that all theories must be immediately predictive, rather than employing abstraction to identify underlying mechanisms which, in reality, do not operate alone but in complex conjunction with others.

But the theories
are about convincing others. Given the cultural melieu
in which you are propounding your theory, it may be
highly convincing to others, as your theory may be
using assumptions and received knowledge that are
highly acceptable in the cultural melieu today. But we
should keep in mind that 'the world is flat' was a
highly convincing theory sometime ago in their
cultural melieu. This explains why a major paradigm
shift in one area of knowledge has influence on other
areas of knowledge too. It simply changes the cultural
melieu.

I hope the cultural melieu in which I communicate my ideas is that of a community of scientists who are ultimately concerned with objective facts that are to be explained. I reject the relativism implicit in the above passage. I think that scientific knowledge is cumulative, and although radical re-representation of reality does occur during paradigm shifts, the relation between the old and the new is systematic not arbitrary (e.g., a large sphere does look flat if you're tiny and standing on it). Essentially I think there actually is scientific progress, and it is possible to understand why there is such progress.

As I said above, I think our differing philosophies
result in different research programs, which is healthy.

-Ian.

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