Showing posts with label Jason Smith. Show all posts
Showing posts with label Jason Smith. Show all posts

Thursday, April 19, 2018

Equilibrium in Economic Theory


Everything you may have wanted to know about equilibrium in economics.

Post Keynesianism generally dismisses the neoclassical assumption of equilibrium in economic theory, but these posts serve to clarify the concept and the debate around it. David Glasner explores the history, while Jason Smith comments on the concept for the POV of physics and explains it in terms of information equilibrium.

Uneasy Money
On Equilibrium in Economic Theory
David Glasner | Economist at the Federal Trade Commission

Information Transfer Economics
An agnostic equilibrium
Jason Smith

See also

The Undercover Historian
What is the cost of ‘tractable’ economic models?
Beatrice

Chris Dillow — Facts vs hand-waving in economics

On Twitter this morning Jason Smith asked a good question. Is this, he asked, an “anonymous blog comment from a simpleton? ... Or analysis from a prominent financial economics professor?”...
Stumbling and Mumbling
Facts vs hand-waving in economics
Chris Dillow | Investors Chronicle

Sunday, September 10, 2017

Brian Romanchuk — Book Review: A Random Physicist Takes On Economics


Wonkish unless you have been following Jason Smith's blog on information transfer economics. For those who have, his book looks like an interesting read, and Brian's review is helpful in approaching it.

Bond Economics
Book Review: A Random Physicist Takes On Economics
Brian Romanchuk

Saturday, October 22, 2016

Jason Smith — One year ago ...

One year ago ... I put up my preprint. No journal has accepted it yet ...
Abstract

A general information equilibrium model in the case of ideal information transfer is defined and then used to derive the relationship between supply (in- formation destination) and demand (information source) with the price as the detector of information exchange between demand and supply. We recover the properties of the traditional economic supply-demand diagram. Infor- mation equilibrium is then applied to macroeconomic problems, recovering some common macroeconomic models in particular limits like the AD-AS model, IS-LM model (in a low inflation limit), the quantity theory of money (in a high inflation limit) and the Solow-Swan growth model. Information equilibrium results in empirically accurate models of inflation and interest rates, and can be used to motivate a “statistical economics”, analogous to statistical mechanics for thermodynamics.
Hard breaking in.

Information Transfer Economics
One year ago ...
Jason Smith

Wednesday, October 5, 2016

Jason Smith — Keen, chaos, and equilibrium


Physicist Jason Smith critiques a debate among Steve Keen, Roger Farmer, Noah Smith, and David Andolfatto over Steve' recent Forbes post asserting that the economy is best modeled as a complex non-linear system instead of using the conventional linear stochastic models (DSGE) based on assuming general equilibrium.
Actually, as a physicist, I would say that even if the economy was a complex nonlinear chaotic system, linear stochastic models would still be its effective theory description. Regardless of what the quantum theory of gravity is, general relativity -- and even Newton's universal law of gravitation -- is still its long-distance effective theory.

Anyway, this prompted me to write something about Steve Keen's article in Forbes. Keen suffers from a problem that all public economists seem to suffer: asserting matters of opinion as matters of fact, and ongoing research programs as well-established frameworks. This will be made clear as we progress. Let's begin, shall we?
Information Transfer Economics
Keen, chaos, and equilibrium
Jason Smith

Tuesday, May 19, 2015

More on mathiness and economics as science


More on mathiness and economics as science. Fast and furious now.

Information Transfer Economics
The irony of Paul Romer's mathiness

Another mistake from Romer
Jason Smith

Lars P. Syll’s Blog
Paul Romer is ‘busy’ …
Lars P. Syll | Professor, Malmo University

Econospeak
A Veritable Epidemic of Mathiness
Peter Dorman, Professor of Political Economy, The Evergreen State College

Paul Romer doubles down.

Paul Romer
Protecting the Norms of Science in Economics

Lucas on blueprints as physical capital

Update:

Naked Keynesianism
Some Brief Thoughts on Paul Romer and Mathiness
Matias Vernengo | Associate Professor of Economics, Bucknell University

Econospeak
Mathiness, Growth and Increasing Returns
Sandwichman

Saturday, April 11, 2015

Jason Smith — Information theory and economics, a primer


A physicist looks at economics and simplifies the formal modeling that economists conventionally use.
The physicist Eugene Wigner once referred to the "unreasonable effectiveness of mathematics in the natural sciences". One comment I frequently see out there on the economics blogs is the economics equivalent: economists equations and models don't anything that looks like a real human in them. Some economists actually defend this -- they say they don't need realistic humans or assumptions (microfoundations).

What this information equilibrium framework seems to say is that when markets are functioning properly, this is ok. To turn Tolstoy upside down, all functioning markets are alike; each market failure fails in its own way. Those functioning markets represent a common Platonic ideal -- something that can be described by mathematics. Interestingly, the information equilibrium framework also has some suggestions for how to approach the problem when markets fail, too! It's called non-ideal information equilibrium and it allows us not only to see markets that are functioning (those well-described by ideal information equilibrium), but point out ones that are failing. This also represents a divergence from mainstream -- markets aren't assumed to be functioning unless they can be shown to be functioning.

The basics of the framework come down to a couple of equations and what is effectively a supply and demand diagram -- which should be thought of as an entropic force diagram.
The analogy of the "scissors" of supply and demand can be called upon to summarize this albeit simplistically.  As long as each blade is functioning as it should, e.g., sharp enough to do the work, and the scissors is working correctly as a system, with the blades operating in alignment, the mechanism cuts as it should. However, if one of the blades is not functioning as it should, .e.g., is dull, or the scissors is out of alignment, e.g., the fulcrum screw loosens, then the scissors no longer operates correctly and the cuts are either off or done happen at all, that is, the system fails.

This analogy can be complicated, .e.g, by re;pacing the schism with a milling machine. The difference here is the assumptions underlying the different models. The milling machine has a more parts and more detailed design than a scissors, but it does essentially the same thing — cuts the material precisely.

Ideally, a complicated real process can be modeled usefully though a rather simple model, e.g., in economics using a "gadget" like ISLM. Ockham's razor holds that the simplest explanation for the purpose is to be preferred. Here, the less is less information.

The advantage of the information transfer model is that it simplifies the assumptions while still producing useful results using only "market forces" in modeling.
One major divergence from mainstream economic approaches is the lack of assumptions about what it is that is mediating economic activity. You really don't need any economic agents, firms, households, rational expectations, or really any kind of human thought at all ... when markets are functioning properly. Market forces are like entropic forces in thermodynamics -- diffusion and osmosis are a couple of well known ones. Molecules in a gas don't know about their density at the other side of the room, but collectively they will distribute themselves to achieve an almost equal density across their container. People and prices can be described by the same information equilibrium framework that describes the behavior of molecules. The equilibrium states in this model are the ones with maximum entropy [1].
I think this actually solves a really tough philosophical problem. If humans have free will and don't behave perfectly rationally all the time, why does it seem that when markets are functioning properly, why is mathematics of economics work so well -- as if they were atoms in an ideal gas?
Of course, the really interesting stuff in economics occurs when the system is not in equilibrium at efficient use of available resources, which is described by the equilibrium model.

This is the problem that conventional equilibrium economic modeling like DSGE deals with as the result of exogenous "shock" that could not be foreseen using the model alone.

Thus, for some economists, doing economics involves the "art" of choosing the right model at the right time.

The question then arises is whether and how information transfer economics deals with this in more satisfactory way, e.g., by enabling anticipation from within the model and ideally preventative maintenance to prevent breakdowns that result in idling resources and costly declines in efficiency and effectiveness. Smith seems to suggest that this is not possible in the case of simple information models.

However, it is possible in physics to detect when a situation is becoming unstable based on feedback from data. Let's see where Smith goes with this. As he points out, economics has been quite successful in dealing with static equilibrium models, but challenges arise with introduction of dynamic models as the rate of change of key variables shifts over time with economies in flux.

Hayek is often credited with introducing the concept of information to economics, e.g., in
"The Use of Knowledge in Society". But Hayek's essay raises more questions than it answers, as I think it was intended to do.
It is in many ways fortunate that the dispute about the indispensability of the price system for any rational calculation in a complex society is now no longer conducted entirely between camps holding different political views. The thesis that without the price system we could not preserve a society based on such extensive division of labor as ours was greeted with a howl of derision when it was first advanced by von Mises twenty-five years ago. Today the difficulties which some still find in accepting it are no longer mainly political, and this makes for an atmosphere much more conducive to reasonable discussion. When we find Leon Trotsky arguing that "economic accounting is unthinkable without market relations"; when Professor Oscar Lange promises Professor von Mises a statue in the marble halls of the future Central Planning Board; and when Professor Abba P. Lerner rediscovers Adam Smith and emphasizes that the essential utility of the price system consists in inducing the individual, while seeking his own interest, to do what is in the general interest, the differences can indeed no longer be ascribed to political prejudice. The remaining dissent seems clearly to be due to purely intellectual, and more particularly methodological, differences.
I would venture to say that no serious thinkers today assume that the "price system," that is, "the market, " is in any way dispensable. The question that remains is whether the market is sufficient as an institutional tool for organizing and governing a society. The simple answer is that it will never be discovered because "the market"is based on other institutions, and these institutions are  grounded in non-economy factors such as government not to mention emergence that occurs in complex adaptive systems. Politics follows on the introduction of government, and with it, networks and strata of social relationships based on status (class), power, and property ownership (wealth).

The question then becomes how to incorporate this apparently extraneous information into economics and economic information ("data").  It would seem that this is related to the art of choose the correct model for changing conditions. For example, it would be significant to know where an economy is headed on the curve of financial instability that Hyman Minsky hypothesized based on financial and other information (in the recent crisis, fraud) that economists generally have not taken into account in the conventional approach.

Information Transfer Economics